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Biology Data Science Jobs in Tennessee (NOW HIRING)

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... This position is part of a team advancing biologics drug-substance modeling and the digitization of ...

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PhD in molecular biology, bioinformatics, computational biology, chemistry, physics, engineering, computer science, data science, or a related quantitative scientific discipline; or a Master's degree ...

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Biology Data Science information

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$34K

$111.4K

$178.3K

How much do biology data science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for biology data science 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 biology data science?

A Biology Data Science job involves applying data analysis, machine learning, and computational techniques to biological data. Professionals in this field work with large datasets from genomics, proteomics, ecology, or clinical studies to extract insights and drive scientific discoveries. They often use programming languages like Python or R, along with statistical and bioinformatics tools, to analyze complex biological systems. These roles exist in academia, pharmaceuticals, biotechnology, and healthcare.

What are the day-to-day responsibilities of a biology data science?

Professionals in Biology Data Science typically spend their days acquiring, cleaning, and analyzing large sets of biological data, such as genomic sequences or clinical trial results. They use coding and statistical methods to uncover patterns, develop predictive models, and generate insights to support scientific discoveries or healthcare decisions. Collaboration is frequent, often requiring close coordination with biologists, clinicians, and software engineers to interpret data and ensure research objectives are met. Additionally, clear and concise reporting of findings, often through visualizations or presentations, is a regular part of the job. This blend of data science and biology offers dynamic workdays that can have a direct impact on advancing scientific knowledge and improving patient outcomes.

What skills and qualifications are needed to thrive as a biology data science?

To excel in Biology Data Science, a strong background in biological sciences paired with expertise in statistical analysis, programming (commonly Python or R), and data interpretation is essential. Familiarity with tools such as bioinformatics platforms, machine learning libraries, and data visualization software, along with relevant certifications in data science or computational biology, is highly valuable. Strong problem-solving skills, attention to detail, and effective communication abilities help you collaborate with multidisciplinary teams and present complex findings clearly. These competencies allow professionals to manage and analyze large biological datasets, driving data-driven discoveries and innovation in research or industry settings.

Can I get into biology data science with a biology degree?

Biology data science roles often accept candidates with a biology degree, especially if they have skills in programming, statistics, and data analysis tools like Python or R. Gaining experience through coursework, projects, or certifications in data science can improve employability in this field.

What do biology data scientists do?

Biology data scientists analyze biological data using statistical methods, machine learning, and programming tools like Python or R. They work on projects such as genomics, drug discovery, and ecological modeling to extract meaningful insights from complex datasets, often collaborating with biologists and researchers.

What are the most commonly searched types of Biology Data Science jobs in Tennessee?

The most popular types of Biology Data Science jobs in Tennessee are:

What are popular job titles related to Biology Data Science jobs in Tennessee?

For Biology Data Science jobs in Tennessee, the most frequently searched job titles are:

Infographic showing various Biology Data Science job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote 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 6 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 1,064 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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