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Senior Biomedical Data Scientist Jobs (NOW HIRING)

Stanfordlivetickets

Biomedical Data Science

Palo Alto, CA · On-site

$110 - $170/hr

Stanford University is seeking a Research Data Analyst 2 - Biomedical Data Science to manage and ... senior biostatistician * Prioritize and extract data from a variety of sources such as notes ...

New

Axle

Data Scientist II

Rockville, MD

... and data science applications to research centers and healthcare organizations nationally and ... With experts in biomedical science, software engineering, and program management, we focus on ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

Elephas

Senior Data Scientist

Madison, WI · On-site

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

... Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative ... Provide input to biomedical research scientist presentations and publications regarding rigorous ...

QRC Group

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Juncos, Puerto Rico | Posted on 08/13/2026 We are seeking Sr Data Scientist, with knowledge of ... Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a related ...

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Senior Biomedical Data Scientist information

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$41.5K

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

As of Aug 29, 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

Research Data Scientist - Urology, Hung Lab

Cedars Sinai

West Hollywood, CA • On-site

Full-time

Posted 10 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,064 rated hospitals

Job description

Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!

The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Principal Responsibilities:
 

Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
 

Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
 

Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
 

Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
 

Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
 

Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
 

Tests and validates code to ensure robustness of data applications with version control through GitHub.
 

Performs all other duties as assigned.

Education:

Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required. 
 

Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:

2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data - Required.
 

2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable - Required.
 

2 years of Experience programming at a basic to intermediate proficiency level in SQL - Required.
 

No experience required Experience in biomedical machine learning is preferred

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