2

Remote Biology Data Science Jobs (NOW HIRING)

Biology with a computational emphasis * Or a related quantitative life sciences discipline ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

Posted today

... science, engineering, or a related field, along with experience preparing biological data for AI ... Hybrid Onsite/Remote work schedule Why Us. At UT MD Anderson, this role provides the opportunity to ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... M.S. or PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science ...

As an integral member of the Data Science & Bioinformatics Team, you will tackle some of the most interesting biological and technical questions related to functional precision cancer therapeutics.

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... data science, molecular and cellular biology, and quantitative physical sciences. The Center ...

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

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

Research Associate 2

Oak Ridge, TN · On-site +1

$35.19 - $48.95/hr

Remote U.S. Based Locations) *SALARY RANGE: $35.19 - $48.95/per hour IMPORTANT NOTE: Please review ... Demonstrated research experience in computational biology, data science, bioinformatics, biomedical ...

S.-based remote role with periodic travel (quarterly or as needed) to GondolaBio's Palo Alto office ... PhD in Computational Biology, Bioinformatics, Genetics, or a related quantitative discipline with ...

This model allows science and small teams of experts to lead the way. We build bridges to ... S.-based remote role with periodic travel (quarterly or as needed) to GondolaBio's Palo Alto office ...

next page

Showing results 1-20

Remote Biology Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 12, 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 remote biology data scientists 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?

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.
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:
Infographic showing various Remote Biology Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Staff Data Scientist, Computational Biology

Valo Health

Lexington, MA • On-site, Remote

$195K - $230K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago


Job description

About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company's Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
About the Role
We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution.
As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams.
This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists.
What You'll Do...
  • Own the product roadmap for Target ID software.
  • Gather and prioritize scientific requirements from internal users.
  • Translate use cases into technical specifications for engineering teams.
  • Rapidly prototype computational solutions using Python.
  • Develop and maintain internal packages, reproducible workflows, and APIs.
  • Establish documentation, onboarding materials, and best practices for internal platform usage.
  • Lead cross-functional project execution (data engineering, software engineering).
  • Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.)

What You Bring...
  • Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience
  • 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years' experience in software engineering and data engineering teams
  • Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages
  • Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC
  • 1+ years' experience leading complex projects as product owner
  • Experience supporting target identification, prioritization, or multi-modal analysis.

Nice to have...
  • Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js).
  • Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).
  • Familiarity with the drug discovery and development process is a plus

Remote Salary Range
$165,750-$195,000 USD
CA Salary Range
$195,585-$230,100 USD
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who currentlyhave permanent US work authorization without the need for immediate or future sponsorship.