Job description

This position supports the key initiatives of OCCE HMS/school-wide projects. The Data Scientist will apply current and emerging analytical and problem-solving techniques in program evaluation and tracking. The position is actively involved in planning, designing, implementing, and analyzing data-driven projects such as the Pulse Survey. Collaborate with HMS and Harvard University data working groups related to policies, practices, and programs. Job-Specific Responsibilities: • Work with OCCE and other Harvard University offices in planning, designing, implementing, and analyzing data-driven projects such as the Pulse Survey. • Collaborate with HMS and Harvard University data working groups related to policies, practices, and programs, with a focus on establishing monitoring and accountability measures/metrics designed to progressively chart implementation activities and results produced over time. • Work internally with OCCE to create, pilot, and support metric-based data reporting templates through which the evidence and impact of its programmatic interventions can be demonstrated. Conceptually, templates will feature multiple-level system thinking. • Collaborate with HMS data-related groups to resolve conceptual, technical and operational issues related to databases. • Translate identified data problems into well-defined technical specifications and leverage workable elements as growth opportunities. • Design and build user-friendly database solutions and instrumentation. • Lead and manage the development of program-related-data capture and databases that include 1) multiple data sources, 2) mixed-methods data, and 3) data elements that represent the multidimensionality of the OCCE charge and mission. • Develop and maintain comprehensive Technical Notes that document process and procedures undertaken to complete all assigned tasks. • Work closely with stakeholders to understand data derived from both healthcare providers and computational methods. • Conduct data analysis for ad hoc reporting requests from the Dean of OCCE, constituents, stakeholders, and other sources. Basic Qualifications: • Minimum of 5 years of post secondary education or relevant work experience. Additional Qualifications and Skills: • Bachelor’s degree in data science, data analytics, or a related field preferred. • Excellent analytical and problem-solving skills. • Ability to write clearly for a broad audience and explain technical analysis to a non-technical audience. • Ability to visualize data and communicate complex data most effectively. • Excellent interpersonal skills. • Enthusiasm for collaborating closely with others. • Experience working with data and metrics. Certificates and Licenses: • Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred. • Term: This is a 1 year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.  • Standard Hours/Schedule: 22.75 hours per week. This position is considered to be essential personnel for the Office of Culture and Community Engagement. Weekend and holiday work may be required as well as attendance during school closures (due to inclement weather and/or other emergencies). • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position. • Pre-Employment Screening: Identity, Education. • Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal. • Interview Format: The interview process will include both virtual and in-person components (e.g., initial virtual screening followed by on-campus final interviews). #LI-DK1 Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts . Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 057. Please visit  Harvard's Salary Ranges   to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: • Generous paid time off including parental leave • Medical, dental, and vision health insurance coverage starting on day one • Retirement plans with university contributions • Wellbeing and mental health resources • Support for families and caregivers • Professional development opportunities including tuition assistance and reimbursement • Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page . EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination . We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy . Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Requirements

Must-haves

Work with OCCE and other Harvard University offices in planning, designing, implementing, and analyzing data-driven projects such as the Pulse Survey.
Collaborate with HMS data-related groups to resolve conceptual, technical and operational issues related to databases.
Translate identified data problems into well-defined technical specifications and leverage workable elements as growth opportunities.
Design and build user-friendly database solutions and instrumentation.
Develop and maintain comprehensive Technical Notes that document process and procedures undertaken to complete all assigned tasks.
Work closely with stakeholders to understand data derived from both healthcare providers and computational methods.
Conduct data analysis for ad hoc reporting requests from the Dean of OCCE, constituents, stakeholders, and other sources.
Minimum of 5 years of post secondary education or relevant work experience.
Excellent analytical and problem-solving skills.
Ability to write clearly for a broad audience and explain technical analysis to a non-technical audience.
Ability to visualize data and communicate complex data most effectively.
Excellent interpersonal skills.
Enthusiasm for collaborating closely with others.
Experience working with data and metrics.
Term: This is a 1 year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
Pre-Employment Screening: Identity, Education.
Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.
Interview Format: The interview process will include both virtual and in-person components (e.g., initial virtual screening followed by on-campus final interviews).
Work Format Details
Salary Grade and Ranges

Nice-to-haves

Bachelor’s degree in data science, data analytics, or a related field preferred.
Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

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Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

Paid Time Off

Parental Leave

Professional Development