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Full Time Biology Data Science Jobs (NOW HIRING)

... science, engineering, or a related field, along with experience preparing biological data for AI ... Additional Information Requisition ID: 182148 Employment Status: Full-Time Employee Status: Regular ...

... science, engineering, or a related field, along with experience preparing biological data for AI ... Employment Status: Full-Time * Employee Status: Regular * Work Week: Days * Minimum Salary: US ...

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

The ideal candidate has preferred advanced education at the master's or doctoral level in science, engineering, or a related field, along with experience preparing biological data for AI models ...

... science, engineering, or a related field, along with experience preparing biological data for AI ... Employment Status: Full-Time * Employee Status: Regular * Work Week: Days * Minimum Salary: US ...

$194K - $305K/yr

Extensive experience applying computational methods in cancer biology.Extensive experience and ... Science, Genomic Data Analysis, Machine Learning (ML), Multimodal, Multimodal Analysis ...

$194K - $305K/yr

Experience in applying computational methods in cancer biology.Demonstrated expertise in the ... in scientific computation environments with adoption of best practices for reproducible data ...

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How much do full time biology data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full time 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.

How do biology data scientists typically collaborate with laboratory researchers and other scientific teams?

Biology Data Scientists often work closely with laboratory researchers, bioinformaticians, and other scientific teams to analyze complex biological datasets and translate findings into actionable insights. Collaboration usually involves regular meetings to discuss project goals, sharing data and preliminary results, and jointly interpreting findings to guide experimental design. Effective communication is essential, as data scientists must bridge the gap between computational methods and biological context, ensuring that analyses are relevant and impactful. This collaborative environment fosters innovation and often leads to multidisciplinary projects that advance both scientific discovery and organizational goals.

What is a full time biology data science job?

A Full Time Biology Data Science job involves applying data science techniques and tools to analyze biological data, such as genomics, proteomics, or clinical datasets. Professionals in this role use statistical analysis, machine learning, and programming to extract insights and solve problems in biology. They often work with large datasets, collaborate with biologists and clinicians, and help drive research or product development in biotechnology, pharmaceuticals, or healthcare. This is a full-time position, typically requiring at least a bachelor's or master's degree in biology, data science, bioinformatics, or a related field.

What are the key skills and qualifications needed to thrive as a full time biology data scientist?

To thrive as a Full Time Biology Data Scientist, you need a strong background in biology, statistics, and computational methods, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Bioconductor), and proficiency in data analysis platforms are essential. Effective communication, critical thinking, and problem-solving skills help translate complex data into actionable biological insights. These combined skills are crucial for accurately analyzing biological data and contributing to research or clinical advancements.
More about Full Time Biology Data Science jobs
What cities are hiring for Full Time Biology Data Science jobs? Cities with the most Full Time Biology Data Science job openings:
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What job categories do people searching Full Time Biology Data Science jobs look for? The top searched job categories for Full Time Biology Data Science jobs are:
Infographic showing various Full Time Biology Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Scientist I, Data Science

Sail Biomedicines

Cambridge, MA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Sail Biomedicines is building a new class of fully programmable medicines by integrating circular RNA (eRNA™), targeted nanoparticle delivery, and advanced computational approaches. The Senior Scientist I will operate at the interface of platform and program, applying data-driven approaches to analyze preclinical datasets and support therapeutic development efforts.
Responsibilities:
• Perform in-depth analysis of preclinical and platform datasets, including immunophenotyping, functional assays, and multi-omics data to support both therapeutic programs and platform development
• Integrate and interpret data across studies and contexts to generate biological insights that inform CAR activity, persistence, immune dynamics and platform-level understanding of our therapeutics
• Collaborate closely with immunology and platform teams to inform experimental design and interpret results
• Work resourcefully with internal/external datasets to contextualize findings and strengthen conclusions
• Apply statistical and systems modeling to develop deeper understanding of product and platform attributes and performance.
• Apply and promote best practices in data structuring, annotation, and metadata usage to enable reliable, scalable and reusable downstream analysis across programs and platform efforts
• Develop and maintain reproducible analysis workflows, with clear documentation and version control (Git) and contribute to a well-organized data environment by following FAIR-aligned practices in day-to-day work
• Communicate findings clearly with collaborators through visualizations, presentations, and written summaries
Qualifications:
Required:
• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, Biophysics or related field
• 3+ years of experience analyzing multifaceted biological datasets in biotech, pharma, or academia
• Firsthand experience working in CAR-T or RNA therapeutics.
• Demonstrated experience applying modeling (statistical, system) to biological data.
• Strong expertise in high-dimensional data analysis (e.g., RNA-seq, single-cell, in vivo studies) with the ability to transform raw data to refined downstream biological interpretations
• Proficiency in Python and/or R, with strong data analysis and visualization skills and a firm grasp of modern statistics (mixed models, Bayesian methods, etc.)
• Experience building reproducible and well-documented analysis workflows (Nextflow, Snakemake) and applying sound data organization and metadata practices
• Demonstrated ability to champion cross-functional efforts in close collaboration with experimental scientists, taking ownership and driving insights even in areas outside your core subject matter expertise
Preferred:
• Computational design of Antibody/VHH/scFv/CAR proteins
• Experience in immunology, cell therapy, or CAR biology, particularly in vivo systems
• Experience integrating complex datasets and cross-study meta-analysis
• Exposure to cloud-based or collaborative data environments
• Track record of impactful scientific contributions (publications or program support)
Company:
Sail Biomedicines is a flagship pioneering company that is developing tomorrow's medicines today using life's language. Founded in 2023, the company is headquartered in Somerville, USA, with a team of 51-200 employees. The company is currently Growth Stage.