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Senior Biomedical Data Scientist Jobs (NOW HIRING)

Co-ideate new claims and indications with Marketing, providing scientific justification and ... Familiarity with human anthropometry, population biomechanics data, and ergonomic design principles ...

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Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

About the Position As a Senior Data Scientist at Formation Bio, you will be at the forefront of ... Aid in the development and training of AI agents to automate and optimize biomedical workflows

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing ...

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 ...

Senior Data Scientist

Carlsbad, CA · On-site

$130K - $150K/yr

The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...

Senior Data Scientist

Carlsbad, CA · On-site

$130K - $150K/yr

The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...

Senior Data Scientist

Carlsbad, NM · On-site

$130K - $150K/yr

The Senior Data Scientist will lead the design, development, and integration of predictive ... Experience working with biomedical/health data is required. Applicants lacking this will not be ...

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Senior Biomedical Data Scientist information

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$41.5K

$142.5K

$201K

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

As of Jun 24, 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 are Senior Biomedical Data Scientists?

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 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 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 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:

Sr. Data Scientist, Translational Research

Tempus AI

Redwood City, CA

Full-time

Posted 14 days ago


Tempus AI rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

102nd of 191 rated software companies


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus\' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

With the advent of genomic sequencing, we can finally decode and process our genetic makeup; however, computer technology has had a limited impact in healthcare. With the expansion of multi-modal healthcare data and recent advancements in AI, that’s about to fundamentally change. Tempus is a healthcare technology company at the forefront of that change, leveraging data and technology to improve patient lives.

Lens, Tempus\' proprietary data and platform connect an entire ecosystem of real-world data to deliver real-time, actionable insights to researchers. Our data empowers researchers to better characterize and understand disease, and to drive better outcomes through precise, individualized care.

The Scientific and Technical Solutions team is seeking a driven, intellectually curious member to bridge the gap between our cutting-edge analytical platform and the complex research questions of our clients. This role is central to client success and adoption of the Tempus Data and the Lens Platform. You will serve as the primary technical and scientific resource, ensuring our clients can seamlessly integrate their research with our data and platform to derive meaningful, scientific answers.

Key Responsibilities:

  • Client Onboarding & Education: Lead the technical and scientific onboarding process for new clients, ensuring a smooth transition into the Tempus Data Ecosystem and our analytical platform,  Lens.

  • Scientific Problem Solving: Engage with clients (primarily researchers and scientists) to deeply understand their specific scientific hypotheses and questions (e.g., biomarker discovery, target identification, clinical trial design).

  • Platform Guidance & Solutioning: Translate the client\'s scientific needs into actionable steps on the Tempus analytical platform. This includes designing workflows, structuring queries, and guiding the analysis of complex datasets (genomic, clinical, imaging).  

  • AI-Assisted Optimization: Leverage LLMs and co-pilot tools to accelerate internal development and create specialized agents that help clients navigate and derive insights from large-scale biomedical data, and make the client experience on the platform as easy, efficient, and intuitive as possible.

  • Feedback Loop: Act as the voice of the client, collaborating closely with Tempus Product, Engineering, and Data Science teams to prioritize features and resolve technical challenges.

  • Documentation & Training: Create high-quality technical documentation, tutorials, and training materials for clients on platform features and best practices for scientific analysis.

Qualifications:

Required Skills & Experience

  • A Master’s or Ph.D. in a relevant scientific field (e.g., Computational Biology, Bioinformatics, Genomics, Data Science, or a related life science discipline).

  • Demonstrated experience working with and analyzing large-scale biomedical datasets (e.g., Next-Generation Sequencing data, clinical trial data, real-world data). 

  • Experience working with statistical modeling, data mining and/or machine learning methods.

  • Hands-on experience with analytical tools and languages relevant to biomedical research. Must be fluent in Python or R. If Python is the primary language,  having some R coding experience is required. Being comfortable in both languages is an added bonus.

  • Experience with software development and the AWS or GCP technical stack

  • Experience with engineering practices for research computing (Docker, Git, Github, Linux, cloud computing).

  • Demonstrated proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.

  • Experience building specialized AI agents or designing workflows that utilize LLMs to solve complex technical problems.

  • Experience putting data science workflows into production.

  • Proven ability to work collaboratively in a team environment and thrive in a fast-paced environment, willing to shift priorities seamlessly.

  • Demonstrated "power-user" proficiency with AI-assisted development tools (e.g., GitHub Copilot in VS Code) to optimize coding efficiency and troubleshooting.

  • Excellent written and verbal communication skills with a proven ability to explain complex technical and scientific concepts to both technical and non-technical audiences.

  • A strong track record of identifying inefficiencies or scientific roadblocks and developing pragmatic, user-friendly solutions.

Preferred (Bonus) Qualifications:

  • Experience in the biotech, pharma, or healthcare technology space.

  • Direct experience with oncology research.

  • Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development,  tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask

$100,000-175,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.