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Biology Data Science Jobs (NOW HIRING)

D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent * 2+ years of industry experience * Demonstrated success applying AI/ML to biological datasets ...

Master's degree in Bioinformatics, Computational Biology, Data Science, Biostatistics, Computer Science, or a related quantitative field. * A minimum of ONE (1) year of experience in bioinformatics ...

Onsite The Oncology Data Science team in Biomedical Research supports the Oncology Disease Area with computational biology, Artificial Intelligence / Machine Learning (AI/ML), and data engineering ...

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Biology Data Science information

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$37.5K

$122.7K

$196.5K

How much do biology data science jobs pay per year?

As of Jul 3, 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 job?

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 key skills and qualifications needed to thrive in the Biology Data Science position, and why are they important?

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.

What are common day-to-day responsibilities for professionals in a Biology Data Science role?

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.

More about Biology Data Science jobs
What cities are hiring for Biology Data Science jobs? Cities with the most Biology Data Science job openings:
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What states have the most Biology Data Science jobs? States with the most job openings for Biology Data Science jobs include:
What job categories do people searching Biology Data Science jobs look for? The top searched job categories for Biology Data Science jobs are:
AI/ML Scientist

AI/ML Scientist

EpiVax

Providence, RI • On-site

Full-time

Posted 28 days ago


Job description

AI/ML Scientist
Company Overview:
EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell epitope identification and characterization, we employ a wide range of validated in silico and in vitro techniques. This comprehensive approach provides accurate and thorough insights into candidate immunogenicity, ensuring the effectiveness and safety of our clients' products.
Role Summary:
EpiVax is seeking an AI/ML Scientist to expand its technology team. The AI/ML Scientist will focus on analyzing large-scale biological datasets and on developing new models to advance our understanding of the adaptive immune system, as it relates to therapeutic development. The ideal candidate combines strong machine learning expertise with a background in immunology. This position reports directly to the CTO and has close working relationships with the technology, bioinformatics, and programming teams.
Key Responsibilities:
  • Play a leading role in sustaining EpiVax's competitiveness in the field of Computational Immunology
  • Design and implement cutting-edge machine learning and deep learning models to analyze large-scale immunological datasets
  • Design and implement generative AI frameworks to advance and streamline the analysis of protein and peptide sequences
  • Collaborate with the IT and programming teams to integrate new models into EpiVax's analysis platform
  • Collaborate with the scientific team to translate findings into publications or presentations
  • Maintain and improve professional knowledge of technological advancements in immunogenicity assessment, data manipulation, statistical analyses, machine learning, and AI

Qualifications:
  • M.S. or Ph.D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent
  • 2+ years of industry experience
  • Demonstrated success applying AI/ML to biological datasets, ideally in immunology related contexts
  • Experience with cloud computing and high-performance data infrastructure

Technical Skills:
  • Technical background in AI/ML techniques, including generative AI and Large Language Models
  • Strong understanding of statistical modeling, feature engineering, and model interpretability
  • Intermediate understanding of immunology, biology, or biochemistry
  • Proficiency in Python and R, and deep learning frameworks such as PyTorch or TensorFlow.
  • Advanced expertise in T cell biology is preferred
  • Proficiency with PL/SQL and Oracle databases is preferred
  • Experience with structural biology modeling techniques is a plus
  • Strong scientific curiosity and ability to translate biological questions into computational strategies
  • Excellent communication skills to convey complex analyses across interdisciplinary teams

EpiVax is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status

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About EpiVax

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Providence, RI, US

Year founded

1998

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