Data Scientist/Computational Biologist at Harvard University | Boston, MA, US | Rezi

Data Scientist/Computational Biologist at Harvard University

Data Scientist/Computational Biologist

Harvard University · Boston, MA, US

1 months ago

Data Scientist/Computational Biologist

Harvard University · Boston, MA, US

a month ago
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About the Role

The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) seeks an experienced Data Scientist/Computational Biologist to process, analyze, and integrate multi-omics datasets. This role involves developing tools and software to empower research labs, requiring methodological work, algorithm development, and technical innovation.

Responsibilities

  • Develop and maintain scalable, reproducible pipelines.
  • Design, implement, document, and maintain robust analysis workflows (e.g., QC, integration, statistical modeling, reporting).
  • Apply AI and computational research methods to evaluate and implement AI-assisted approaches.
  • Provide technical guidance and deliver hands-on workshops for HMS researchers.
  • Build and maintain open-source software and data resources.
  • Support releases and user documentation for open-source projects.
  • Engage with external developer communities to increase adoption and impact.

Requirements

  • Minimum of five years' post-secondary education or relevant work experience.
  • PhD in Bioinformatics, Biostatistics, Computer Science, Statistics or related field strongly preferred.
  • Substantial experience in analyzing genetic, genomic, or image data.
  • Ability to program at a high level in R or Python.
  • Ability to work independently.
  • Experience with analyzing single-cell and spatial omics data.
  • Working knowledge of git or similar tools for scientific software development.
  • Experience writing data publishing tools that support user interaction such as RStudio's Shiny or Connect applications.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Ability to work on teams.
  • Strong communication skills.

Skills

  • R
  • Python
  • AI
  • Computational research methods
  • Git
  • RStudio's Shiny
  • RStudio Connect
  • TensorFlow
  • PyTorch

Location

  • Non-Harvard location
  • Harvard registered state

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Experienced

Education Level

  • PhD preferred

Salary/Compensations

  • Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits

  • 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

About the Company

  • By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise.
  • We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
  • 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.

Equal Opportunity

  • 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.