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Remote Biology Data Science Jobs (NOW HIRING)

Biohub

Staff Data Scientist, Imaging

Redwood City, CA · On-site +1

Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations-defining priorities and appropriate structures for ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... coaching others to achieve high standards? Join us in shaping a more just world. About Us

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... of data science and molecular and cellular biology. The Center provides leadership in the ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

... Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week ... Biology , Electrical/Mechanical/Civil Engineering , Physics , Chemistry , Mathematics , Materials ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

Your day to day includes working with biology data scientists to harden their notebooks and ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Proficiency in computational and data science methods relevant to advancing NCEMS Working Group ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

A Bit About Us We are Arcadia Science, an evolutionary biology company founded and led by ... The Opportunity We're closing the gap between biological data and biological understanding. Our ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

A Bit About Us We are Arcadia Science, an evolutionary biology company founded and led by ... The Opportunity We're closing the gap between biological data and biological understanding. Our ...

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

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Remote Biology Data Science information

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$37.5K

$122.7K

$196.5K

How much do remote biology data science jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote 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 working remotely typically collaborate with laboratory or field research teams?

Remote biology data scientists often collaborate with laboratory or field research teams through regular virtual meetings, shared cloud-based data repositories, and project management tools. They play a key role in analyzing experimental data, developing models, and providing feedback to guide ongoing experiments. Clear communication and proactive engagement are essential, as remote scientists must bridge the gap between data analysis and hands-on research. Building strong relationships with team members and staying aligned on project goals help ensure smooth workflows and successful outcomes.

What is remote biology data science?

Remote biology data science is a specialized field where professionals apply data analysis, statistical methods, and computational tools to biological data, such as genomic sequences, ecological surveys, or clinical trial results, all while working outside of a traditional office setting. These roles often involve using programming languages like Python or R, collaborating virtually with research teams, and interpreting complex datasets to advance biological research or healthcare outcomes. Remote biology data scientists may work for academic institutions, biotech companies, healthcare organizations, or research labs, handling tasks such as data cleaning, modeling, and visualization from any location with internet access.

What are the key skills and qualifications needed to thrive as a Remote Biology Data Scientist, and why are they important?

To thrive as a Remote Biology Data Scientist, you need a strong background in biology, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with data analysis tools such as Python, R, bioinformatics platforms, and cloud-based data management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for collaborating remotely and interpreting complex biological data. These skills ensure accurate data-driven insights and effective teamwork in a virtual, interdisciplinary environment.
More about Remote Biology Data Science jobs
What cities are hiring for Remote Biology Data Science jobs? Cities with the most Remote 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 Remote Biology Data Science jobs? States with the most job openings for Remote Biology Data Science jobs include:
What job categories do people searching Remote Biology Data Science jobs look for? The top searched job categories for Remote Biology Data Science jobs are:
Remote Biology Data Science jobs near you
Infographic showing various Remote Biology Data Science job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, 15% Full Time, 69% Part Time, and 8% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Post Doctoral Scientist- Human Genomics and Translational Data Science

Xenon7

Boston, MA • Remote

Full-time

Posted 2 days ago

Job description

About us:

Shape the Future with AI, Ignite Your Potential

Xenon7 is an inferno where skill, dedication and passion run together.

About our client:

Global healthcare leader headquartered in Indianapolis, Indiana. The Cardiometabolic Research (CMR) Therapeutic Area of our client, focuses on the discovery of biologic, small molecule and genetic therapeutics for the treatment of cardiometabolic diseases and associated complications.

We are seeking a Statistical Geneticist with expertise in whole genome sequencing (WGS), proteomics, and clinical outcomes analysis to advance our research in identifying novel therapeutic targets. This role will involve analyzing large-scale biobank and population-cohort datasets to uncover genetic and molecular factors associated with disease risk, progression, and treatment response. You will operate as part of the CMR Data Science and Computational Biology (DSCB) team and partner with early discovery scientists and clinicians, translational scientists, bioinformaticians and geneticists.

Key Responsibilities

  • Apply statistical and computational approaches to analyze WGS/WES, proteomics, metabolomics, and clinical data for biomarker discovery.
  • Conduct rigorous analyses of large-scale population cohorts and biobank datasets to identify genetic variants and causal genes associated with disease outcomes.
  • Develop and implement machine learning and bioinformatics pipelines to integrate multi-omics data.
  • Collaborate with interdisciplinary teams, including geneticists, epidemiologists, and clinicians, to interpret findings and guide therapeutic development.
  • Prepare scientific reports, presentations, and publications detailing research outcomes.
  • Contribute to the development of novel statistical methods for analyzing high-dimensional biological data.

Requirements

Qualifications & Requirements

  • PhD in statistical genetics, bioinformatics, computational biology, biostatistics, or a related quantitative field
  • Qualified applicants must be authorized to work in the United States on a full-time basis.

Additional Skills/Preferences

  • Expertise in whole genome and whole exome sequencing analysis, proteomics, metabolomics and other molecular data analysis, and clinical outcomes research.
  • Strong proficiency in statistical modeling, machine learning, and high-dimensional data analysis.
  • Experience working with large biobank and cohort datasets (e.g., UK Biobank, All of Us, FinnGen).
  • Proficiency in programming languages such as R, Python, and SQL for data analysis.
  • Familiarity with genetic association studies, GWAS, and polygenic risk scores.
  • Excellent communication and collaboration skills to work effectively in cross-functional teams.
  • Experience in pharmaceutical or biotech industry settings.
  • Knowledge of functional genomics and multi-omics data integration.
  • Strong publication record demonstrating contributions to statistical genetics and biomarker discovery and analysis.
  • Prior experience in cardiometabolic research.
  • Prior experience with polygenic risk score models.

This is an exciting opportunity to advance precision medicine and therapeutic target identification through innovative statistical genetics approaches. If you are passionate about employing big data for scientific discovery, we encourage you to apply!

Benefits

  • Attractive, market-leading salary package.
  • Clear career advancement path with professional development opportunities.