Part-Time Data Scientist

About Harvard University This is the official LinkedIn page for the Division of Medical Sciences at Harvard Medical School. The Division of Medical Sciences (DMS) at Harvard Medical School with the Faculty of Arts and Sciences of Harvard University offers six interdisciplinary programs leading to the PhD degree in the biomedical sciences: 1) Bioinformatics and Integrative Genomics (BIG) 2) Biological and Biomedical Sciences (BBS) 3) Immunology 4) Neuroscience 5) Speech and Hearing Bioscience and Technology (SHBT) 6) Virology These six programs share a common purpose: to foster a stimulating and supportive environment for research training in the biomedical science

• 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.
• 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.

• Minimum of 5 years of post secondary education or relevant work experience.
• 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.
• Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred.

• Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.
• You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine.
• This position is salary grade level 057. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
• 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.