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Biology Data Science Jobs (NOW HIRING)

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

The focus of the core initially will be on spatial biology and multimodal omics integration to aid ... Data Scientists at Mayo Clinic perform detailed analysis of large bodies of scientific data in ...

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

You'll work at the intersection of computational biology, machine learning, and drug development ... Lead and execute complex data science projects that directly advance our drug development portfolio

D. in epidemiology, biostatistics, computational biology, bioinformatics, computer science ... Experience analyzing data using tools such as Python or R * Possess an interest in applying ...

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biology data science information

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How much do biology data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for biology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.
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What cities are hiring for Biology Data Science jobs?

Cities with the most Biology Data Science job openings:

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

The most popular types of Biology Data Science jobs are:

What states have the most Biology Data Science jobs?

States with the most job openings for Biology Data Science jobs include:

Infographic showing various Biology Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Science Analyst - CSiG

Mayo Clinic

Rochester, MN • On-site

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

128th of 887 rated healthcare providers


Job description

The Artificial Intelligence (AI) Core is a key component of the NIH funded P30 Digestive Diseases Research Core Center grant, which is entitled the Mayo Clinic Center for Cell Signaling in Gastroenterology. We are seeking a Senior Data Science Analyst to join our AI core to help develop, organize, and employ agentic AI based solutions powered by stacked frontier models. The focus of the core initially will be on spatial biology and multimodal omics integration to aid P30 members in discovery science. In this role, you will work for the AI Core along with a medical and scientific director (co-directors) and actively support members in the use of agentic AI models while simultaneously driving the rigorous experimental frameworks required to validate them. By bridging the gap between model training and statistical science, you will ensure our systems are not just performative, but biologically generalizable and ready to transform the future of digestive disease research.

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of scientific data in order to discover new patterns and insights having an impact ultimately upon patient health. The preferred candidate has advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, and data science methods and the mathematical theories underlying these tools used to analyze data. The individual should have advanced knowledge of computational biology data types, topics, and scientific challenges and approaches.

You may work with knowledge architects, informaticians, and clinicians at Mayo to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of omics data including transcriptomics, genetics, proteomics, and spatial biology. The core applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI, as required, by leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. You will provide consultative services at a scientific level to support scientific projects. You will be housed within a digital biology-focused team focused on advanced AI technology for Mayo Clinic Digital Pathology.

Note: Visa sponsorship is not available for this position. Must be a U.S. citizen, permanent resident, refugee, or asylee. Mayo Clinic does not support the OPT STEM program.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

A bachelor's degree in a relevant field such as engineering, mathematics, computer science, health science and at least 12 graduate level semester hours in domain-relevant sciences or seven years or more of data science and AI experience is required. The ideal candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, bioinformatics/biostatistics, biological sciences, or other analytical/quantitative field. Requisite technical expertise in AI, data science, and the use of scientific computing and data management packages in strongly preferred. In addition, the role requires experience with data modeling and data exploration tools, along with advanced computer applications skills, strong analytical skills, and the ability to identify and recommend effective technical solutions.
The incumbent must have proven leadership, project management, and time management skills, including the ability to prioritize, organize, delegate, and manage a varied workload of projects with multiple priorities while staying current on scientific trends. The role requires advanced written and oral communication skills, including the ability to provide AI-related text for publications and grants, to deliver clear presentations, and to impart effective education to learners with varying levels of expertise. The preferred candidate will have strong interpersonal and consulting skills, including a demonstrated ability to provide consultative services to scientists and co-workers from any Mayo entity requesting assistance, along with a commitment to customer service. 


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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919