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Biomedical Data Scientist Jobs in Tennessee (NOW HIRING)

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

D. in Bioinformatics, Computational Biology, Computer Science, Data Science, Statistics, Genomics, Biomedical Informatics, or a related quantitative discipline. Education and Experience Preferred:

ORAU

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

D. preferred in Bioinformatics, Biomedical Informatics, Computational Biology, Molecular Biology, Data Science or a closely related field and 0 years of experience. An equivalent combination of ...

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$34K

$111.4K

$178.3K

How much do biomedical data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for biomedical data scientist in Tennessee is $111,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $123,400.00 per year, depending on experience, location, and employer.

What is a biomedical data scientist?

Biomedical data scientists are professionals who apply data science techniques to biomedical research and healthcare. They analyze large sets of biological and medical data to uncover patterns, make predictions, and support scientific discoveries or medical decisions. Their work involves using computational tools, statistical methods, and machine learning to interpret complex datasets, such as genomics, clinical trials, or electronic health records. Biomedical data scientists often collaborate with biologists, clinicians, and other researchers to improve healthcare outcomes and advance medical knowledge.

What does a biomedical data scientist do?

The job of a biomedical data scientist is to research and analyze biological data for use in medicine. As a biomedical data scientist, you perform analysis using industry-standard methodologies. Your responsibilities are to record information in a database. Other duties include using this data to produce a new product or peer-reviewed paper. As a biomedical data scientist, you may also develop new research methods or tools. It is your job to create coherent reports based on your research and analysis of raw data. This type of research is used to help develop advances in medicine.

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

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, biology, and computer science, often supported by an advanced degree in a related field. Proficiency with programming languages like Python or R, data analysis platforms, and experience using bioinformatics tools and machine learning frameworks are typically required. Exceptional problem-solving, collaboration, and communication skills help translate complex data into actionable biomedical insights. These skills ensure accurate analysis and interpretation of biomedical data, driving impactful research and innovation in healthcare.

What are some typical challenges faced by biomedical data scientists when working with healthcare data?

Biomedical Data Scientists often encounter challenges related to the complexity and variability of healthcare data, such as dealing with missing values, inconsistent formats, and integrating data from multiple sources like electronic health records, genomics, and imaging. Ensuring data privacy and compliance with regulations like HIPAA is also a critical consideration. Collaborating closely with clinicians and researchers to translate data findings into actionable insights can require strong communication skills and a good understanding of medical terminology. Overcoming these challenges is key to developing robust, impactful models that support healthcare advancements.

Can you become a biomedical data scientist with a biomedical science degree?

A biomedical data scientist can often have a biomedical science degree, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning can improve job prospects in this field. Advanced degrees or certifications in data science or bioinformatics may also be beneficial.
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For Biomedical Data Scientist jobs in Tennessee, the most frequently searched job titles are:

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Biomedical Data Scientist jobs near you
Infographic showing various Biomedical Data Scientist job openings in Tennessee as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,399 per year, or $53.6 per hour.

Faculty Position - Department of Epidemiology and Cancer Control, Data Science

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Re-posted 24 days ago

St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,060 rated hospitals

Job description

Job Summary:
St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. They are seeking an innovative data scientist to join their multidisciplinary team to advance research in childhood cancer survivorship by applying state-of-the-art computational methods to high-dimensional health data.
Responsibilities:
• Apply state-of-the-art computational methods to extract insights from high-dimensional, multimodal health data.
• Develop predictive and integrative models that transform survivorship care.
• Lead a vibrant research program at the intersection of data science and clinical/biological sciences.
• Collaborate across Cancer Center Programs, engaging with both clinic- and laboratory-based researchers to advance clinical care and knowledge of childhood cancer and associated late effects.
Qualifications:
Required:
• Successful applicants must hold a PhD or equivalent degree in the field of data science
• Have at least three years of relevant postgraduate experience
• Have a proven track record of productivity
Preferred:
• Advanced machine learning (deep learning, representation learning, probabilistic modeling)
• Natural language processing and large language models for extracting, structuring, and modeling high-dimensional, unstructured clinical notes, patient-reported narratives, and speech-derived phenotypes
• AI-driven approaches for multimodal data integration and predictive analytics
• Computational pipelines for large-scale biomedical datasets
• Interest in causal inference, risk stratification, and precision medicine
• Experience in transforming complex clinical/biological data into meaningful representations (including advanced feature engineering)
• Experience applying pretrained foundation models or self-supervised learning approaches to biomedical data
• AI agents for orchestrating multi-stream data integration, real-time analytics, and decision-support workflows in survivorship research
Company:
St. Founded in 1962, the company is headquartered in Memphis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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