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Senior Biomedical Data Scientist Jobs (NOW HIRING)

Hunter Healthcare

Be Seen First

Senior Data Scientist

Hazelwood, MO · On-site

$120K - $160K/yr

Senior Data Scientist Hazelwood, MO - Hybrid, on-site 3 days per week $130,000 - $160,000 + bonus ... Biomedical Engineering · 5 years of professional related experience with Machine Learning ...

Hunter Healthcare

Be Seen First

Senior Data Scientist

Hazelwood, MO · On-site

$120K - $160K/yr

Senior Data Scientist Hazelwood, MO - Hybrid, on-site 3 days per week $130,000 - $160,000 + bonus ... Biomedical Engineering · 5 years of professional related experience with Machine Learning ...

BullFrogAI

Principal Data Scientist

Gaithersburg, MD · On-site

$175K - $215K/yr

BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project ...

Hunter Healthcare

Be Seen First

Senior Data Scientist

Hazelwood, MO · On-site

$120K - $160K/yr

Senior Data Scientist Hazelwood, MO - Hybrid, on-site 3 days per week $130,000 - $160,000 + bonus ... Biomedical Engineering · 5 years of professional related experience with Machine Learning ...

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

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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Senior Biomedical Data Scientist information

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

As of Aug 20, 2026, the average yearly pay for senior biomedical data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a senior biomedical data scientist?

Senior Biomedical Data Scientists are experienced professionals who analyze and interpret complex biomedical data to advance research, healthcare, and medical innovation. They use statistical methods, machine learning, and computational tools to extract insights from large datasets such as genomic sequences, electronic health records, and clinical trial results. In addition to technical skills, they often lead projects, collaborate with interdisciplinary teams, and help translate data findings into actionable solutions for improving patient outcomes and advancing scientific knowledge.

How does a senior biomedical data scientist typically collaborate with clinical teams and researchers on interdisciplinary projects?

A Senior Biomedical Data Scientist often works closely with clinicians, biostatisticians, and researchers to translate complex biomedical problems into data-driven solutions. This collaboration usually involves participating in regular project meetings, understanding clinical objectives, and helping to design experiments or studies. The role also requires clear communication to interpret and present data findings to non-technical stakeholders, ensuring that analyses support clinical or research goals. Effective teamwork and adaptability are key, as projects frequently evolve based on new data or research directions.

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

To thrive as a Senior Biomedical Data Scientist, you need advanced expertise in data analysis, machine learning, and statistical modeling, typically backed by a graduate degree in bioinformatics, computer science, or a related field. Proficiency with programming languages like Python or R, experience with big data platforms, and familiarity with scientific computing tools are essential, along with certifications in data science or biomedical informatics being advantageous. Strong problem-solving abilities, communication skills, and the capacity to collaborate with interdisciplinary teams set top performers apart. These competencies are critical for translating complex biomedical data into actionable insights that drive research, clinical outcomes, and innovation.

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

AspectSenior Biomedical Data ScientistBiomedical Data Scientist
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with programming and statistical toolsBachelor's or Master's in relevant fields; foundational knowledge in data analysis and biology
Work EnvironmentResearch labs, healthcare companies, biotech firms; often involved in complex data projectsAcademic institutions, healthcare organizations, biotech companies; focused on data collection and analysis
Employer & Industry UsageUsed in biotech, pharma, healthcare research; roles often involve leadership in projectsCommon in research, clinical, and academic settings; entry to mid-level roles

The main difference between a Senior Biomedical Data Scientist and a Biomedical Data Scientist lies in experience, responsibilities, and expertise. Senior roles typically require advanced degrees and extensive experience, involving leadership and complex project management, whereas Biomedical Data Scientists are often entry to mid-level professionals focused on data analysis and research support.

What cities are hiring for Senior Biomedical Data Scientist jobs?

Cities with the most Senior 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 Senior Biomedical Data Scientist jobs?

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

Senior Biomedical Data Scientist jobs near you

Scientific Project Manager (Biomedical Data Coordination)

Digital Infuzion

Rockville, MD • On-site, Remote

$90K - $110K/yr

Full-time

Re-posted 4 days ago

Job description

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care.
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
Outcomes First: Focusing on what matters most and making timely, informed decisions.
Innovative: Embracing creativity and continuous improvement to drive novel solutions.
Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care.
Never Satisfied: Pursuing excellence and continuous growth beyond the status quo.
Resilient: Adapting and persevering through challenges, turning obstacles into opportunities.
If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.
Position Overview
Digital Infuzion delivers Data Coordination Services to large multi-center research networks through a comprehensive scientific data management, sharing, and analysis platform. We are looking for an exceptional individual to serve as the Scientific Project Manager for a Data Coordination Services program supporting the National Institute of Allergy and Infectious Diseases.
In this role, you will provide scientific and operational coordination for a multidisciplinary team supporting a mission-driven NIH program focused on infectious disease, vaccine development, translational research, and related scientific initiatives. The role will bring together expertise in biomedical research, data management, informatics, data quality, and scientific communications. Serving as a key liaison among program leadership, government stakeholders, investigators, data managers, and technical teams, the Coordinator will help ensure that scientific priorities and stakeholder needs are clearly understood and addressed. This individual will translate those priorities into coordinated activities, effective data management strategies, well-defined technical requirements, and high-quality program deliverables.
Who you are
  • The ideal candidate is a scientifically trained professional with experience coordinating complex biomedical, public health, clinical, translational, or research-focused programs.
  • You are a natural organizer, task manager, and action-oriented problem solver.
  • You have a desire to apply your scientific or research background to support programs that enable biomedical discovery and public health impact.
  • You are comfortable working with scientists, data analysts, informatics professionals, communications specialists, technical teams, and government stakeholders.
  • You are skilled at facilitating discussions, identifying areas of agreement, resolving ambiguity, and translating stakeholder needs into clear requirements and next steps.
  • You have a strong sense of quality and can help teams maintain clear processes, documentation, timelines, and expectations.
  • You are interested in scientific data sharing, research coordination, and the role of data quality in advancing translational and pre-clinical research.
  • You are collaborative, adaptable, and able to operate effectively in a fast-paced, matrixed environment.

Responsibilities
  • Serve as a primary scientific and programmatic liaison among government stakeholders, investigators, data managers, partner organizations, and internal scientific and technical teams.
  • Support the Principal Investigator and Program Manager in coordinating project activities, timelines, deliverables, priorities, risks, dependencies, and action items across scientific, data quality, communications, and technical workstreams.
  • Lead or facilitate recurring meetings, scientific working groups, requirements-gathering sessions, and stakeholder discussions, documenting decisions, action items, and follow-up activities.
  • Coordinate the development, implementation, and maintenance of data standards, metadata models, and data management approaches for exploratory, preclinical, translational, and related biomedical research data.
  • Develop and promote data management, access, and sharing practices consistent with FAIR data principles, NIH expectations, and applicable public repository requirements.
  • Translate scientific priorities and user needs into clear requirements and recommendations for data quality, informatics, software development, analytics, and AI-enabled tools.
  • Coordinate technical assistance and collaboration between scientific subject matter experts and technical teams to support investigators, data managers, and other members of the program's user community.
  • Support scientific communications, outreach, and program activities, including annual meetings, conferences, webinars, presentations, websites, and stakeholder-facing materials.
  • Coordinate with data quality and scientific staff to help track data submission review activities, recurring issues, process improvement opportunities, and related documentation needs.
  • Draft and review contract status reports, progress updates, meeting summaries, and other program deliverables that communicate project status, accomplishments, and upcoming priorities.

Requirements
  • Master's degree in a life science, biomedical science, or related scientific discipline; equivalent experience may be considered.
  • Background supporting biomedical, translational, infectious disease, vaccine, preclinical research, or scientific data-focused programs.
  • Proven ability to facilitate scientific meetings, working groups, requirements-gathering sessions, and stakeholder discussions.
  • Working knowledge of scientific research workflows, research documentation, data quality concepts, and biomedical or public health data environments.
  • Ability to translate scientific needs into data standards, data management processes, technical requirements, or program recommendations.
  • Demonstrated success coordinating complex projects, tracking action items and deliverables, maintaining documentation, and collaborating across scientific, technical, analytical, communications, and project management teams.
  • Excellent verbal and written communication skills, with the ability to summarize information clearly and professionally for different audiences.
  • Strong organizational skills, attention to detail, and ability to manage multiple priorities in a fast-paced environment.

Preferred Qualifications
  • PhD in a life or biomedical science discipline, particularly biology, microbiology, immunology, virology, infectious disease research, or a related field.
  • Prior work with NIH, HHS, NIAID, or another federal health agency.
  • Background supporting a Data Coordinating Center or a large multi-center scientific research consortium.
  • Advanced subject-matter knowledge in infectious disease, immunology, virology, vaccine development, translational science, or pre-clinical research.
  • Familiarity with biomedical data standards, data quality processes, research data management, FAIR data principles, and NIH data sharing expectations.
  • Experience coordinating scientific communications, outreach activities, conferences, or stakeholder engagement efforts.
  • Ability to provide scientific requirements or subject matter guidance for informatics, software, analytics, AI, or machine-learning initiatives.
  • Understanding of Agile practices within a software development or data management environment.

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.
We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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