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<h4>Overview</h4>LMI seeks DoD Energy Analyst to provide operational and installation energy analysis and expertise to a DoD client.&nbsp; LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in cloud technical solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research, modernization strategies, and cloud services. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.<h4>Responsibilities</h4><ul><li>Evaluate DoD mission impact of various proposed energy initiatives, including operational risk, supportability, fuel flows, and infrastructure resilience. </li><li>Support DoD client in energy management working groups</li><li>Conduct analyses of data and develop recommendations regarding the effectiveness of agency programs and to support the customer’s oversight role for</li><li>Support energy modeling and wargames </li><li>Evaluate fuel and power distribution models for supportability across various warfighting scenarios and make recommendations to improve mission success</li><li>Review and provide recommendations to update DoD energy policy guidance</li><li>Assist in managing energy reporting systems and resolving discrepancies</li><li>Analyze building energy consumption data and fuel consumption data for mobile systems and support analyses of the upstream effects of energy consumption (planning, supply chain)</li><li>Perform business case analyses for energy technologies and innovations</li><li>Develop analytical content for written deliverables which may include white papers, briefings, feasibility studies, research summaries, position papers, and similar analytical products in support of the client.</li><li>Prepare, review, and analyze sustainable energy project and market reports and conduct energy, environmental, and economic benefits analysis of sustainable energy technologies and projects.</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree or higher in math, science, engineering, computer science or related field.</li><li>Experience in analysis of energy consumption, energy rates, and life cycle cost analysis.</li><li>3-5 years of relevant experience. </li><li>Familiarity with installation / building energy data analysis.</li><li>Proficiency with software tools for research, analysis, reporting, communications, and collaboration (e.g., Microsoft Office suite, to include Power BI and SharePoint, and proprietary government real property systems and applications)</li><li>DoD experience required.</li><li>Strong candidate will be able to demonstrate experience in working with multiple stakeholders and building consensus</li><li>Must be eligible for a U.S. security clearance; US citizenship required.</li></ul><h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

LMI Consulting, LLC

DoD Energy Analyst

<h4>Overview</h4>LMI seeks an experienced Energy Specialist to provide energy expertise and guidance that will improve and expand energy efficiencies and capabilities for a current Federal client.&nbsp; LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in cloud technical solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research, modernization strategies, and cloud services. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.<h4>Responsibilities</h4><ul><li>Act as a senior technical advisor to DoD client on expected impacts of proposed energy projects.</li><li>Assess feasibility, cost, and mission impact of diverse energy project proposals.</li><li>Make recommendations to enhance energy resilience.</li><li>Provide expertise and guidance in management of sustainability/energy compliance and policies, and energy efficiencies.</li><li>Coordinate with cross agency stakeholders to elicit facility energy requirements and conduct gap analysis.</li><li>Research and respond to sustainability/energy data requests from other oversight agencies (e.g., OMB or Congress)</li><li>Validate facility energy requirements against ongoing and proposed projects.</li><li>Assess feasibility, cost, and mission impact of diverse energy project proposals.</li><li>Provide expertise and guidance in management of sustainability/energy compliance and policies, and energy efficiencies.</li><li>Act as a subject matter expert in relevant technical subject matter areas related to installation energy usage, energy efficiency, and resilience.</li><li>Develop, measure, and recommend energy resilience and efficiency metrics.</li><li>Evaluate energy resilience initiatives to determine expected impact, timelines, costs, constraints, and implementation considerations. </li><li>Coordinate with government, utility, industry, and public stakeholders to advance energy resilience initiatives. </li><li>Perform quality assurance reviews of design documents and engineering studies and provide associated technical recommendations</li><li>Review project progress from an engineering perspective, measuring performance and taking necessary corrective actions to maintain agreed-upon requirements.</li><li>Track inventory and manage performance of existing renewable energy systems portfolio. Provide technical and planning support for renewable energy systems not managed under active performance contracts.</li><li>Draft executive summary reports and white papers for sustainability/energy data as needed which may include white papers, standard operating procedures (SOPs), briefings, feasibility studies, research summaries, position papers, and similar analytical products in support of the client.</li><li>Prepare, review, and analyze sustainable energy project and market reports and conduct energy, environmental, and economic benefits analysis of sustainable energy technologies and projects.</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree or higher in Engineering (Civil, Electrical, Mechanical, or General) or other scientific, technical, or management related field. Master’s degree preferred.</li><li>Certified Energy Manager (CEM) certification preferred</li><li>7+ years of energy-related experience. </li><li>Experience in analysis of energy consumption, energy rates, and life cycle cost analysis.</li><li>Familiarity with all and expertise in at least one of the following subject matter areas:</li><li>Proficiency with software tools for research, analysis, reporting, communications, and collaboration (e.g., Microsoft Office suite, to include Power BI and SharePoint, and proprietary government real property systems and applications)</li><li>Federal or utility energy or sustainability experience preferred.</li><li>Strong candidate will be able to demonstrate experience in working with multiple stakeholders and building consensus</li><li>The candidate shall have consultative capabilities with strong communication and organizational skills</li><li>Experience in managing simultaneously, multiple projects with independent schedules and budgets</li><li>Project Management Professional (PMP) preferred but not required.</li><li>Moderate travel within the CONUS will be required.</li><li>Must be eligible for a U.S. security clearance; US citizenship required.</li></ul><h4> LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a> Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? </h4>We can recommend jobs specifically for you!Click here to get started.

DoD Energy Subject Matter Specialist - Clearance Required

Title: Adjunct Faculty-Environmental Health Technology
Employee Classification:&nbsp;Instruction/Research Assistant
Institution:&nbsp;Roane State Community College
Department: Social Science, Business &amp; Education
Campus Location: Roane State Community College
Job Summary
Teach course in Environmental Health Technology in traditional, ZOOM technology or online. Courses could be taught at any Roane State Campus. 
Job Duties
<ul>
<li>Teach courses in Environmental Health Technology in traditional, ZOOM technology or online.</li>
</ul>
Minimum Qualifications
Master’s degree in a qualifying field (Environmental Health, Environmental Science, Public Health, Safety, Industrial Hygiene, Health Physics, Biology, Chemistry, Physics, Engineering) or Master’s degree in with 18 graduate semester hours in any combination of the qualifying fields or Bachelor’s degree in a qualifying field with two of the following:
 • Professional certifications • Two years professional employment • Teaching excellence awards • Research or publications • Relevant additional coursework beyond Bachelor’s degree

Motlow State Community College


      Adjunct Faculty-Environmental Health Technology
    

Lecturer in Computer Information Systems and Cyber Security Systems (2024-2025 Academic Year) UIW Mission Position Summary The School of Mathematics, Science and Engineering is seeking part-time faculty candidates for Lecturer in Computer Information Systems and Cyber Security Systems. The School offers a Bachelor of Science Degree in Computer Information Systems or Cyber Security Systems. In all matters, faculty are expected to maintain the highest standards of professional ethics consistent with the UIW Mission. Official duties and responsibilities of part-time faculty members at the University include teaching and professional activities as assigned. This applicant pool will remain online and be used to hire interested part-time faculty as needed for the 2024-2025 academic year. Essential Functions Basic Instructional Duties:<ol> <li> Prepare course outlines and teach Computer Information Systems and/or Cyber Security Systems courses as assigned by department based on approved departmental syllabi; prepare and deliver consistent, interactive lectures, incorporating technology into teaching.</li> <li>Follow common syllabus, utilizing online homework system and learning management system.</li> <li>Prepare and execute timely and meaningful assessments for assigned courses.</li> <li>Work collaboratively with departmental faculty to ensure standard curriculum outcomes are met.</li> <li>Be available outside of class to help students learn and to answer their questions (1 hour per 3-hour class, physically and/or electronically).</li> <li>Adhere to UIW Faculty Handbook policies and processes including timely record keeping of student activities, fair and equitable evaluation of student performance, and timely feedback to students regarding their performance in the course. </li> <li>Conduct respectful relationships with faculty, staff, and students both in and outside the classroom.</li> <li>Maintain contact with the department chair and participate in meetings upon request.</li> <li>Perform other duties as assigned.</li> </ol> Job Duties Knowledge Skills and Abilities <ul> <li>A strong commitment to undergraduate teaching.</li> <li>Ability to teach computer information systems and cyber security systems courses at a college level.</li> <li>Ability to deliver instruction online-ability to effectively learn and use instructional technology.</li> <li>Willingness and flexibility to teach day, evening and weekend sections as needed.</li> <li>Ability to incorporate technology into teaching.</li> <li>Ability to work effectively with individuals from diverse communities and cultures.</li> <li>Employee shall adhere to all applicable rules and regulations of the University, the Conference, and the NCAA.</li> </ul> Required Education Master’s Degree in Engineering, Computer Science, Computer Information Systems, Cyber Security Systems or Master’s Degree in a closely related discipline with 18 graduate hours in CIS and/or Cyber Security. Required Work Experience None specified. Preferred Qualifications <ul> <li>Priority will be given to candidates with strong teaching skills.</li> <li>Teaching experience at the collegiate level.</li> </ul> Required Certifications, Licenses or Registrations None specified. Work Hours Based on course assignment. Physical Demands Typical for faculty in this discipline. Posting Number: UN872PO Job Type: Part Time Job Category: Faculty Desired Start Date: 08/19/2024 Position End Date (if temporary): Reports To: Dean, School of Mathematics, Science, and Engineering Salary: $2,800 - $3,000 per 3hr course, commensurate with experience Open Date: 07/16/2024 Close Date: Open Until Filled: Yes Special Instructions to Applicant N/A. To apply, visit <a href="https://apptrkr.com/5440710" target="_blank">https://jobs.uiw.edu/postings/26149</a> UIW is committed to a policy of equal opportunity in employment, without regard to race, color, sex, sexual orientation, citizenship status, national origin, age, marital status, disability, genetic information, gender identity or expression, veteran status, pregnancy, and religion (except in limited circumstances when religious preference is both permitted by law and deemed appropriate as a matter of University policy).jeid-4afaaefd85171a48b3886ad215c0ef8c

University of the Incarnate Word

Lecturer in Computer Information Systems and Cyber Security Systems (2024-2025 Academic Year)

Commitment to MissionThis job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position.&nbsp; A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential.Cultural Beliefs<ul><li>One LSC</li><li>Student Focused</li><li>Own It</li><li>Foster Belonging</li><li>Cultivate Community</li><li>Choose Learning</li></ul>The Chronicle of Higher Education's "Great Colleges to Work For®" is designed to recognize colleges that have been successful in creating great workplaces and to further research and understanding of the factors, dynamics and influences that have the most impact on organizational culture at higher education institutions.Lone Star College has been recognized in multiple categories.Campus Marketing StatementLone Star College-Cypress CenterLone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For® institution by the Chronicle of Higher Education. LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College.LSC-Cypress Center, a satellite center of LSC-CyFair, is located at Clay and Fry roads. The center provides core academic courses and transitional education courses and houses more than 15,000 square feet of workforce space with industrial labs for the workforce programs including: Drafting, Engineering Technology, Geographic Information Systems, Machining and Welding.Location address is 19710 Clay Road, Katy, TX 77449.Job DescriptionPURPOSE AND SCOPE:Tutors and instructs students and community members who need learning assistance in assigned discipline(s) and study skills.&nbsp; Primary responsibilities include providing tutoring and related services, and providing and atmosphere that is conducive to and encourages learning. Responsible for the general areas of student academic support, institutional service, and professional development.ESSENTIAL JOB FUNCTIONS:<ul><li>Effectively delivers tutoring services to students at scheduled times (may be individual or group sessions).&nbsp; Posts and maintains a weekly schedule of available hours for student appointments</li><li>Assists students with the development of study skills necessary for post-secondary education</li><li>Keeps regular and accurate records of tutoring sessions</li><li>Monitors and reviews student work.&nbsp; Modifies and personalizes tutoring strategies to accommodate the different learning styles and needs</li><li>Facilitates the learning process by encouraging students to take responsibility for their progress</li><li>Interacts with LSC staff and/or faculty to obtain any necessary course syllabi or materials, and to develop tutoring materials in support of the course</li><li>Delivers feedback as appropriate to staff and/or faculty regarding student progress</li><li>Continues professional education through research and review of relevant material relating to the assigned subject matter</li><li>May assist with additional duties as needed, for example, covering the Courtesy Counter, answering phones, organizing materials, checking out resources, and performing other duties as assigned</li><li>Completes and submits required documents in an accurate and timely manner</li><li>Actively participates in departmental meetings as required</li><li>Responsible for other reasonable related duties as assigned</li></ul>KNOWLEDGE, SKILLS, AND ABILITIES:<ul><li>Demonstrated proficiency in assigned discipline's subject matter</li><li>Excellent interpersonal and communication skills, both oral and written</li><li>Commitment to quality service to students</li><li>Ability and commitment to work collaboratively</li><li>Ability to work independently with little direct or continuous supervision</li></ul>PHYSICAL ABILITIES:The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work.WORK SCHEDULE AND CONDITIONS:&nbsp;&nbsp;<ul><li>Equipment used includes, PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment</li><li>Interface with internal and external contacts as needed to carry out the functions of the position</li><li>Work is performed in a climate-controlled office with minimal exposure to safety hazards</li></ul>REQUIRED QUALIFICATIONS:<ul><li>High School diploma or GED equivalent</li><li>Transcripts and/or a proficiency test may be required</li></ul>SalaryHourly Pay Rate is $9.92 to $26.35 dependent upon education and CRLA certification levels.&nbsp;Benefits Marketing StatementBy joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan and more.Special InstructionsGo to the Job Search page, click on ‘My Activities’ at the top of the page. Under My Cover Letters and Attachments you will click on ‘Add Attachment.’ Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume.If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts. You must limit your file name for any attachment to 40 characters or less.How to ApplyALL APPLICANTS MUST APPLY ONLINE ONLYWe will not accept application material received via fax, email, mail, or hand delivered.Postings for part-time and adjunct positions are active for the academic year.&nbsp; By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC).If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview.Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States.More information on the E-Verify program is available at <a href="http://www.dhs.gov/E-Verify" target="_blank">www.dhs.gov/E-Verify</a>.Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

Lone Star College System

Part-Time Tutor, Science-All Levels

Position:Teacher- High School Science POSITION SUMMARY: To direct the academic, social, and emotional growth of students so that each student progresses toward the goals and objectives outlined in both the Individual Education Plan and the Service Plan. New Directions is an equal opportunity employer committed to championing the principles of anti-racism, justice, and equity. We welcome prospective employees from diverse cultures and backgrounds, for all positions, who will uphold our values and contribute to our mission. We aim to have a leadership and workforce that is reflective of the communities we work in partnership with. Pay and benefits <ul><li>119 hours of paid time off, in addition to paid holidays and breaks.</li><li>Access to life, dental and medical insurance.</li><li>401k with up to 3% agency matching.</li><li>$22.78 - $27.32/hr to start, additional raises guaranteed.</li><li>Consistent Monday - Friday schedule.</li><li>Join our company, where over 30% of our staff have been with us for 10 years or more.</li></ul> Minimum Education and/or Professional Qualifications/Skills <ul><li>Required: Provisional or Permanent teaching certification in an academic core area and/or in special education.</li><li>Preferred: Masters Degree in a core academic area. Initial or professional certification in an academic core area and/or in special education.</li><li>Experience with “at-risk” emotionally disturbed and/or learning disabled students preferred but not required.</li><li>New regulations under the No Child Left Behind Act effective February 2004 must be obtained to get New York State certification (see New York State Department of Education website under Teacher Certification).</li></ul> We want to emphasize that the preferred qualifications are not required and that we are committed to helping our future colleagues develop these preferred skills. We strongly encourage those who are passionate about fostering a diverse, inclusive and equitable human service organization to apply. Job Title:Teacher Department: HGLCS Title of Immediate Supervisor:Principal POSITION SUMMARY:To direct the academic, social, and emotional growth of students so that each student progresses toward thegoals and objectives outlined in both the Individual Education Plan and the Service Plan. RESPONSIBILITIES/DUTIES: 1. Direct student behavior and activities so that the accomplishment of goals is facilitated. 2. Create a learning climate that is conducive to the student’s intellectual, social, and emotional development. 3. Maintain records of student progress. Ensure that every student receives credit for work accomplished. 4. Participate in projecting future educational needs in programming, equipment, and facilities. 5. Work with individual students or groups of students on special instructional projects. 6. Provide information that will assist in the development of appropriate learning experiences. 7. Develop instructional materials. 8. Assist students in the use of available resources. 9. Supervise students as they move between instructional areas. 10. Develop an educational plan for each student, providing for continuity in learning, as well as maximizing each student’s learningpotential. 11. Communicate with parents/guardians on a bi-weekly basis. 12. Record student daily color on force field. 13. Attend meetings for advised students (CSE, SPR). 14. Provide supervision in hallways, or lunchroom when necessary. 15. Provide in-depth academic and sociological reports about students at CSE meetings. 16. Supervise Teacher’s Aide assigned to his/her classroom. 17. Follow weekly meeting schedule, attending team and content meetings. 18. Update cottage notes daily. 19. Maintain valid NYS certification. 20. Support Campus School wide PBIS program. 21. Maintain Therapeutic Crisis Intervention and First Aid/CPR certification provided by the agency. 22. Attend all mandatory in-service training and regularly attends supervision meetings. Attends other training and in-services as neededto maintain a level of expertise in the field. 23. Any additional duties assigned by immediate supervisor. SKILL, QUALIFICATIONS, KNOWLEDGE, ABILITY &amp; PHYSICAL REQUIREMENTS: Minimum Education and/or Professional Qualifications/Skills Required: Provisional or Permanent teaching certification in an academic core area and/or in special education. Preferred: Masters Degree in a core academic area. Initial or professional certification in an academic core area and/or inspecial education. Experience with “at-risk” emotionally disturbed and/or learning disabled students preferred but not required. New regulations under the No Child Left Behind Act effective February 2004 must be obtained to get New York State certification(see New York State Department of Education website under Teacher Certification). Special – Personal Skills, Qualities, Aptitudes and Physical Requirements New Directions Youth &amp; Family Services, Inc. is an equal opportunity employer. Reasonable accommodations may be made to enablepersons with disabilities to perform essential functions. 1. Ability to work effectively with youth, families, staff and community contacts from a variety of cultural and ethnic backgrounds. 2. Ability to deal effectively with hostile youth and/or families. 3. Ability to accept supervision and perform as part of a team. 4. Ability to be flexible and adapt to change. 5. Ability to interface with people (groups and individuals) and communicate within various mediums (logbooks, E-mail, telephone). 6. Must have a valid driver’s license, adequate auto insurance and meet the criteria for driving set forth in the New DirectionsDriver’s License policy and Auto Insurance policy. 7. Ability to pass annual physical for Category 3 job classification in accordance with New Directions Employee Health policy. 8. Must comply with Agency safety standards and be responsible for own actions and conduct concerning safety and healthyworking conditions.

New Directions Youth and Family Services

Teacher - Science

15-Jul-2024<h4>Senior Data Scientist, Generative AI Products, HBS Foundry</h4>Harvard Business School 66313BRPosition DescriptionWe are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users. As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge. AI Tool Development and Implementation<ul><li>Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing</li><li>Ensure quality of datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability.</li><li>Designing, developing, deploying, and implementing multi-agent AI tools that:<ul><li>Assess and provide feedback on venture-related submissions</li><li>Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs</li><li>Act as a counterparty to simulate important entrepreneurial interactions such as customer interviews, negotiations with an investor, etc.</li><li>Designing generative AI models using techniques like natural language processing and machine learning that can power interactive tools on HBS Foundry.</li></ul></li><li>Designing an AI-powered system that collects key factors to determine a learner’s profile, entrepreneurial progress, and venture progress, and provides customized learning pathways based on these factors.</li><li>Integrating AI tools into the HBS Foundry platform in a seamless manner so they are easy for users to access and utilize.</li><li>Collaborate on technical vision to accelerate product impact through cutting-edge LLM innovations.</li><li>Building guardrails, compliance rules, and oversight workflows into the GenAI tools and Foundry platform.</li><li>Continually improving AI tools using feedback from users to ensure they are providing valuable assistance.</li></ul>Project and Performance Management<ul><li>Monitor, debug, track, and resolve production issues.</li><li>Work with the Foundry Project Director to ensure that projects proceed on time and on budget.</li><li>Collaborate with Product Managers to ensure proper tracking of performance KPIs and prioritize improvements based on effort and impact.</li><li>Presenting prototypes and progress updates to stakeholders.</li></ul>Research and Collaboration<ul><li>Staying up to date on the latest advances in AI/ML research and identifying how new techniques could enhance the HBS Foundry platform.</li><li>Collaborating with a team of engineers, designers, and subject matter experts to deliver high-quality, helpful AI-powered experiences.</li><li>This role is responsible for other duties as assigned.&nbsp;</li></ul>Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications:<ul><li>Advanced degree in computer science, data science, engineering, or a related field within AI/ML</li></ul>Additional/Desired Qualifications:<ul><li>3+ years of experience building (Generative) AI models and tools highly preferrable</li><li>Experience working in a similar role in a startup environment preferrable</li><li>Expertise in NLP, deep learning, and other relevant techniques</li><li>Strong programming skills in Python and frameworks like TensorFlow</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)</li><li>Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience working with a variety of relational SQL and NoSQL databases, big data tools (such as Hadoop, Spark, Kafka), and at least one cloud provider solution (AWS highly preferrable)</li><li>Experience in using version control systems such as Git.</li><li>Experience with containerization and orchestration tools like Docker and Kubernetes.</li><li>Experience with API development and integration for AI services.</li><li>Understanding of and experience with of software engineering best practices like version control, CI/CD, and containerization</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience operationalizing end-to-end machine learning applications.</li><li>Excellent communication and collaboration skills</li><li>Passion for using AI to solve real-world problems</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. A cover letter is required to be considered for this opportunity. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionGeneral Administration, Information TechnologyDepartment Office LocationUSA - MA - Boston Job CodeI0759P Applications Professional V Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade059DepartmentDean's OfficeUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Harvard University FAS Human Resources

Senior Data Scientist, Generative AI Products, HBS Foundry

15-Jul-2024<h4>Senior Data Scientist, Generative AI Products, Digital Transformation</h4>Harvard Business School 66242BRPosition DescriptionAs a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale. You will experiment with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. You will be highly influential in advancing our LLM applications and guide teams towards impactful and ethical AI. We seek an expert who is eager to grow and disseminate GenAI model expertise across the organization. In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications that leverage NLP techniques and large language models (LLMs). As a Sr. Data Scientist on our GenAI applications team, you will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross-functional partners to develop production-grade algorithms. Your innovations will drive value creation through personalized engagement, expanded reach, and experimental ways of learning that will continue the Harvard Business School leadership in education, business, and societal impact.<ul><li>Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. Develop and implement techniques to optimize model performance to meet specific product goals.</li><li>Collaborate closely with product management and engineering leads to align on technical roadmap. Guide engineering teams to effectively leverage LLM capabilities in product implementations.</li><li>Establish protocols and systems for building fair, accountable and transparent LLM-based applications. Lead efforts to proactively assess and mitigate risks due to model biases or failures.</li><li>&nbsp;Implement robust feedback pipelines, monitoring and corrections to ensure model safety.</li><li>Design and oversee curation of high-quality datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in. Contribute novel research and analyses to leading academic conferences and journals.</li><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Proactively analyze latest developments in large language models to deeply understand model capabilities, limitations, and best practices. Develop techniques to continually improve language understanding and model training.</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds.</li><li>Mentor and develop junior data scientists in state-of-the-art GenAI methods</li><li>Set technical vision and lead initiatives to accelerate product impact through cutting-edge LLM innovations.</li><li>Complete other responsibilities as assigned.</li></ul>Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications: <ul><li>Minimum of three years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.</li><li>Experience with production RAG pipelines and agentic information retrieval and search systems, with the ability to write production level code.</li><li>Minimum of five years’ experience with Python.</li><li>Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools.</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications.</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning.</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems.</li><li>Deep understanding of underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs.</li><li>Experience with cloud computing platforms and tools - AWS</li><li>Experience operationalizing end-to-end machine learning applications.</li></ul> Additional/Desired Qualifications: <ul><li>Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired.</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday.&nbsp;Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globe.BenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Boston Job CodeI0759P Applications Professional V Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade059DepartmentDigital TransformationUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

Senior Data Scientist, Generative AI Products, Digital Transformation

The hiring range for this role is: &nbsp;$107,666.00 - $150,995.00This is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting.&nbsp; We may ultimately pay more or less than the hiring range andthis hiringrange may also be modified in the future. A candidate’s position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs.&nbsp;This job is also eligible for annual bonusincentivepay.We offer a comprehensive package of benefits including paid time off, 11 holiday medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.Develops (authors) evidence-based medical policy reviews to provide timely, clinical effectiveness information on medical technologies (i.e., procedures, devices, diagnostic tests, and drugs). Analyzes medical evidence and drafts medical policy, including complex analyses and evidence synthesis, for review by the BCBSA Medical Policy Panel (MPP-a panel comprised of Plan clinicians/medical directors) and in select cases review by the BCBSA Medical Advisory Panel (MAP-an external panel comprised of nationally recognized experts in technology assessment, clinical research and clinical practice).Identify, critically appraise, and summarize scientific literature and clinical practice guidelines for medical technologies (procedures, devices, diagnostic tests and drugs). Perform thorough and objective analysis of the research design and validity of conclusions of current literature and unpublished data. Prepare clear, documented and defensible reports that summarize this information as evidence summary reports for presentation to the MPP and MAP. Provide technical expertise to facilitate the Panel’s review processes. Contribute to the scientific quality, credibility and consistency of BCBSA Reference Medical Policies through participating in the peer review process and various learning activities (e.g., Learning Sessions, Journal Clubs, Medical Advisory Panel meetings, team meetings). Utilize expertise in designated clinical specialty to serve as resource to Medical Policy Services (MPS) staff and the MPP. Additional MPS project work contribution: Support MPS Leadership in managing/performing various MPP-related operations and other special projects as requested (e.g., Contribute to research needed for updating search strings, research on topics salient to the BCBSA external engagements and quality measure when requested, etc.)Education<ul><li>Required - Masters Degree; MPH, MHA, MS or equivalent in biomedical or biostatistical science or evaluation research.</li><li>Preferred - PhD; PhD. PharmD.</li></ul> Experience<ul><li>Research and/or clinical experience in researching, analyzing and presenting synthesis of clinical data</li></ul> Skills<ul><li>MPH, MHA, MS or equivalent in biomedical or biostatistical science or evaluation research.</li><li>Research and/or clinical experience in researching, analyzing and presenting synthesis of clinical data</li><li>Demonstrated methodological skills in evaluation of research design, statistics or critical appraisal of clinical studies.</li><li>Ability to work independently to generate, synthesize and analyze data, reports and tables.</li><li>Technical proficiency with information technologies (e.g. Microsoft Office) and literature-searching.</li><li>Excellent verbal and written communication skills, problem solving and organizational abilities.</li><li>Demonstrated ability to manage multiple projects with overlapping timetables.</li><li>Demonstrated presentation skills to facilitate the review and understanding of materials.</li><li>Experience in working collaboratively with physicians, clinical investigators and research scientists.</li><li>Ability to work effectively as a team member.</li></ul> People Management No#LI_HYBRID

Blue Cross Blue Shield Association

Sr Research Scientist

27-Jun-2024<h4>Lead Data Scientist, Generative AI Products, Digital Transformation</h4>Harvard Business School 66178BRPosition DescriptionAs our Lead Data Scientist, you will collaborate with and shepherd the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale, experimenting with everything from the latest AI algorithms and techniques to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies. You will be highly influential in advancing our LLM applications and guide teams towards impactful and ethical AI. We seek an expert who is eager to grow and disseminate GenAI model expertise across the organization. In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications that leverage NLP techniques and large language models (LLMs). As a Lead Data Scientist on our GenAI applications team, you will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross-functional partners to develop production-grade algorithms. Your innovations will drive value creation through personalized engagement, expanded reach, and experimental ways of learning that will continue the Harvard Business School leadership in education, business, and societal impact.<ul><li>Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. Develop and implement techniques to optimize model performance to meet specific product goals.</li><li>Collaborate closely with product management and engineering leads to align on technical roadmap. Guide engineering teams to effectively leverage LLM capabilities in product implementations.</li><li>Establish protocols and systems for building fair, accountable and transparent LLM-based applications. Lead efforts to proactively assess and mitigate risks due to model biases or failures.</li><li>Implement robust feedback pipelines, monitoring and corrections to ensure model safety</li><li>Design and oversee curation of high-quality datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.</li><li>Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in. Contribute novel research and analyses to leading academic conferences and journals.</li></ul> Additional responsibilities are listed in the Additional Qualifications section below. Basic Qualifications<ul><li>Minimum of seven years’ post-secondary education or relevant work experience</li></ul>Additional Qualifications and SkillsOther Required Qualifications:<ul><li>Bachelors/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 8+ years equivalent work experience</li><li>3-5 Years Experience in developing a variety of machine learning models and algorithms in a commercial environment with a track record of creating meaningful business impact</li><li>Experience with production RAG pipelines and agentic information retrieval and search systems, with the ability to write production level code.</li><li>Strong Python skills required</li><li>Minimum of three years' experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)</li><li>Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning</li><li>Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>Experience with cloud computing platforms - AWS</li><li>Prior experience in leading data science and machine learning focused on solving business problems and seizing business opportunities</li></ul> Desired/Preferred Qualifications:<ul><li>Proficiency in at least one open-source programming language (R, Java, C++ or another) and SQL desirable</li><li>Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications</li><li>Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews</li><li>Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas</li><li>Experience working in agile methodology</li></ul> Additional duties and responsibilities include, but are not limited to, the following:<ul><li>Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new data science, machine learning, and AI technologies and tools that can boost team performance, innovation and business value. Proactively analyze latest developments in large language models to deeply understand model capabilities, limitations, and best practices. Develop techniques to continually improve language understanding and model training</li><li>Mentor and develop junior data scientists in state-of-the-art GenAI methods</li><li>Set technical vision and lead initiatives to accelerate product impact through cutting-edge LLM innovations</li><li>Manage, coach and mentor a team of data scientists, serving at the predominant technical data science and machine learning expert</li><li>Actively contribute to and re-use community best practices</li><li>Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds</li><li>Promote data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable</li><li>This role is responsible for other duties as assigned</li></ul>Additional InformationThis role has the possibility of being remote or hybrid. We consider hybrid to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite 3 days per week and departments provide onsite coverage Monday – Friday. Remote work may be considered for individuals living at least 100-mile radius from campus and where all work will be completed within a state that Harvard is registered to do business in (CA - exempt roles only, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT or WA). Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role. Harvard Business School will not offer visa sponsorship for this opportunity. Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore more about HBS work culture here <a href="https://www.hbs.edu/employment" target="_blank">https://www.hbs.edu/employment</a>.About UsFounded in 1908 as part of Harvard University, Harvard Business School (<a href="http://www.hbs.edu" target="_blank">www.hbs.edu</a>) is located on a 40-acre campus in Boston. The School offers two full-time MBA and PhD programs, more than 175 Executive Education programs, and certificates and courses through Harvard Business School Online. For more than a century, Harvard Business School faculty have drawn on their research, connection to practice, global expertise, and passion for teaching to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will shape the practice of business and entrepreneurship around the globeBenefitsWe invite you to visit Harvard's Total Rewards website (<a href="https://hr.harvard.edu/totalrewards" target="_blank">https://hr.harvard.edu/totalrewards</a>) to learn more about our outstanding benefits package, which may include: <ul><li>Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.</li><li>Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.</li><li> Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.</li><li>Retirement: University-funded retirement plan with contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service.</li><li>Tuition Assistance Program: Competitive program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.</li><li>Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.</li><li> Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.</li><li>Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.</li><li> Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.</li></ul>Job FunctionInformation Technology Department Office LocationUSA - MA - Boston Job CodeI0760P Applications Professional VI Work FormatHybrid (partially on-site, partially remote) Sub-Unit------------ Salary Grade060DepartmentDigital TransformationUnion00 - Non Union, Exempt or Temporary Time StatusFull-time Pre-Employment ScreeningCriminal, Education, IdentityCommitment to Equity, Diversity, Inclusion, and BelongingHarvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.EEO StatementWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.LinkedIn Recruiter Tag (for internal use only)#LI-KR1

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