ZipRecruiter

Log In

1

Manager Biomedical Data Scientist Jobs (NOW HIRING)

Ceribell, Inc

Data Scientist

Sunnyvale, CA

Position Overview : We are looking for a talented data scientist/algorithm engineer who is ... biomedical context * Proven ability to work independently, define scope and and manage complex ...

Sih

Manager, Biomedical Engineering

Carbondale, IL

$94K - $148K/yr

This position assists the Biomedical Engineering Director with all aspects of program management, including work history data analysis, staffing allocation, budget, equipment acquisition planning and ...

Stcharles

Manager Biomedical Services

Bend, OR

$103K - $155K/yr

Manager - Biomedical Services REPORTS TO POSITION: Sr. Director, EHS, Security, Facilities & Biomed ... Bachelor of Technology / Science degree preferred. LICENSURE/CERTIFICATION/REGISTRATION: Required:

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 ...

next page

Showing results 1-20

All JobsManager Biomedical Data Scientist Jobs

Manager Biomedical Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jun 18, 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.

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 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 are Manager Biomedical Data Scientists?

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.

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 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

Health Data Scientist

Valiant Harbor International, LLC

Washington, DC • On-site

Full-time

Posted 9 days ago

Job description

Valiant Harbor International is a CVE Service-Disabled Veteran Owned Small Business that specializes in technical, programmatic, acquisition, compliance, and financial services for Government science and technology, research and development, and technological programs. At Valiant Harbor International, we emphasize our intense focus on helping federal government agencies identify and address organizational challenges to tailor and integrate specific solutions to solve their most difficult problems. Success is defined by our ability to meet our customers’ needs quickly, efficiently, and effectively.
Valiant Harbor International is seeking a detail-oriented Health Data Scientist to provide technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases supporting the Advanced Research Projects Agency for Health (ARPA-H), Proactive Health Office (PHO). This is a Science and Engineering and Technical Advisor (SETA) role focused on ensuring that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use. 
In this role, you will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will help define what success means for AI diagnostics in rare disease contexts and ensure that technical progress translates into meaningful clinical insight and patient impact. This role is ideal for someone who combines deep experience with healthcare data and AI evaluation with the ability to critically assess methodologies, anticipate failure modes, and translate clinical realities into measurable technical criteria.
Key Responsibilities:
  • Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data.
  • Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage.
  • Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability.
  • Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts.
  • Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs.
  • Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions.
  • Serve as a technical bridge between AI developers, clinical experts, and program leadership.
  • Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation.
  • Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes.
  • Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences.

This position is suited for candidates who:
  • Think deeply about measurement, validity, and scientific rigor.
  • Are comfortable exercising judgment in ambiguous or under-specified evaluation contexts.
  • Maintain high standards for data quality and methodological integrity.
  • Communicate clearly across clinical, technical, and programmatic audiences.
  • Operate with ownership and accountability in high-stakes environments.
  • Are motivated by advancing AI systems that deliver real clinical and patient impact, not just strong metrics.

Required Qualifications:
  • PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field.
  • 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles.
  • Hands-on experience with EHR, genomic, or multimodal healthcare datasets.
  • Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage.
  • Demonstrated ability to critically review and assess technical work across health data and AI domains.
  • Strong understanding of data governance, privacy, and compliance in healthcare contexts.
  • Excellent written and verbal communication skills, with experience producing high-quality technical materials.

Preferred Qualifications:
  • Domain expertise in rare disease, diagnostics, or clinical decision support.
  • Prior experience in technical advisory, evaluation, or SETA-style roles.
  • Experience collaborating closely with clinicians and healthcare stakeholders.
  • Experience working in fast-paced, multi-stakeholder, or early-stage environments.

Clearance Requirements: Ability to obtain a Public Trust.
Salary Range: Negotiable.
 
EEO Statement: Valiant Harbor International, LLC is an Equal Opportunity/Affirmative Action employer. Valiant Harbor International prohibits discrimination with respect to the hiring or promotion of individuals, conditions of employment, disciplinary and discharge practices, or any other aspect of employment on the basis of sex, race, color, age, national origin, religion, disability, marital status, sexual orientation, gender identity, pregnancy, veteran status, or any other protected class.  If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact (202) 417-6705 for assistance.

Apply