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Manager Biomedical Data Scientist Jobs (NOW HIRING)

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Connect biomedical sensor data with medical, health, and fitness outcomes * Research and ... Collaborate with an interdisciplinary team of scientists, engineers, mathematicians for quick ...

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How much do manager biomedical data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager biomedical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a manager biomedical data scientist?

Manager Biomedical Data Scientists are professionals who oversee teams of data scientists and analysts working with biomedical data. They are responsible for directing research projects, managing data workflows, and ensuring the integrity and security of sensitive health information. In addition, they collaborate with clinicians, researchers, and IT professionals to develop data-driven solutions that improve healthcare outcomes. Their role combines technical expertise in data science and bioinformatics with leadership and project management skills.

How does a manager biomedical data scientist typically collaborate with cross-functional teams in a healthcare or research setting?

A Manager Biomedical Data Scientist works closely with a variety of professionals, including clinicians, laboratory scientists, software engineers, and regulatory specialists. Their role often involves translating complex biomedical data into actionable insights for both technical and non-technical stakeholders. They lead data science teams, coordinate project timelines, and ensure that data-driven solutions align with organizational goals. Effective communication and the ability to bridge gaps between research and practical application are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a manager biomedical data scientist, and why are they important?

To thrive as a Manager Biomedical Data Scientist, you need advanced knowledge of biostatistics, machine learning, data analysis, and a graduate degree in a relevant field such as bioinformatics or computational biology. Expertise in tools like Python, R, SQL, and platforms such as cloud computing, as well as experience with regulatory standards and data privacy, is typically required. Strong leadership, project management, and communication skills help drive team performance and facilitate collaboration across interdisciplinary groups. These skills ensure the effective translation of complex biomedical data into actionable insights that enhance research and clinical outcomes.

What is the difference between Manager Biomedical Data Scientist vs Biomedical Data Scientist?

AspectManager Biomedical Data ScientistBiomedical Data Scientist
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related field; experience in team leadershipMaster's or PhD in Bioinformatics, Data Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, develops models, supports research teams
Employer & Industry UsagePharmaceutical companies, biotech firms, healthcare organizationsResearch institutions, biotech companies, healthcare providers

The main difference is that a Manager Biomedical Data Scientist oversees teams and projects, while a Biomedical Data Scientist primarily focuses on data analysis and model development. The managerial role involves leadership responsibilities, whereas the data scientist role emphasizes technical expertise.

What cities are hiring for Manager Biomedical Data Scientist jobs?

Cities with the most Manager Biomedical Data Scientist job openings:

What are the most commonly searched types of Biomedical Data Scientist jobs?

The most popular types of Biomedical Data Scientist jobs are:

What states have the most Manager Biomedical Data Scientist jobs?

States with the most job openings for Manager Biomedical Data Scientist jobs include:

Manager Biomedical Data Scientist jobs near you

HMS - Associate in Biomedical Informatics (HIDIVE Lab)

Harvard University

Cambridge, MA • On-site

$65K - $75K/yr

Full-time

Re-posted 15 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

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Job description

Position
Details
Title
HMS - Associate in Biomedical Informatics (HIDIVE Lab)
School
Harvard Medical School
Department/Area
Position Description
Our Lab
Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!
The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar.
We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high impact data visualization tools and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!
Your Role
As an Associate in the lab, you will be part of our research team and contribute one or more of the following skills to HIDIVE Lab projects:
  • research and methods development
  • software engineering, and visualization, user interface, or user experience design
  • data collection, management, and analysis
  • academic writing

You will work under the mentorship of the PI, postdoctoral fellows, or other senior lab members.
Our Resources
The HIDIVE Lab participates in large-scale collaborative projects such as
  • NIH Human Biomolecular Atlas Program (HuBMAP)
  • NIH Cellular Senescence Network (SenNet)
  • NIH Kidney Precision Medicine Network (KPMP)
  • NIH Common Fund Data Ecosystem (CFDE)
  • APRA-H Biomedical Data Fabric (BDF)
  • Human Cell Atlas (HCA)
  • NIH 4D Nucleome Consortium (4DN).

Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects.
Our work also benefits from multiple research software products (e.g., HiGlass, Vitessce, Gosling, HuBMAP Data Portal User Interface, etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research.
Basic Qualifications
The minimum qualifications for this role are:
  • Bachelor or Masters degree in biomedical
    informatics, computer science, computational
    biology, data science or a related field.
  • Prior research experience (internships, research
    assistantships) and contributions to scientific
    projects involving computational work.

Additional Qualifications
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
With this appointment, you are represented by the Harvard Academic Workers (HAW) - UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Contact Information
George Bandek
695 Huntington Ave, STE 514
Boston, MA 02115
Contact Email
george_bandek@hms.harvard.edu
Salary Range
$65,000 - $75,000
Minimum Number of References Required
Maximum Number of References Allowed
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