1

Computational Biologist Jobs (NOW HIRING)

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

The Computational Biologist I contributes to the early innovation of novel bioinformatics methods and genomic signatures in oncology. Leveraging Foundation Medicine's FoundationCORE dataset of 800 ...

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

About the Job The Computational Biologist I contributes to the early innovation of novel bioinformatics methods and genomic signatures in oncology. Leveraging Foundation Medicine's FoundationCORE ...

Showing results 41-60

Computational Biologist information

See salary details

$48.5K

$94K

$133.5K

How much do computational biologist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computational biologist in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What is a computational biologist?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

What are the key skills and qualifications needed to thrive as a computational biologist, and why are they important?

To thrive as a Computational Biologist, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.

What are some common interdisciplinary collaborations for a computational biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.

What cities are hiring for Computational Biologist jobs?

Cities with the most Computational Biologist job openings:

What are the most commonly searched types of Computational Biologist jobs?

The most popular types of Computational Biologist jobs are:

Who are the top companies hiring for Computational Biologist jobs?

The top employers for Computational Biologist jobs are:

What states have the most Computational Biologist jobs?

States with the most job openings for Computational Biologist jobs include:

What are popular job titles related to Computational Biologist jobs?

For Computational Biologist jobs, the most frequently searched job titles are:

Infographic showing various Computational Biologist job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 69% Physical, 2% Hybrid, and 29% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Member of Technical Staff - Computational Biologist

Valthos

New York, NY • On-site

Full-time

Re-posted 7 days ago


Job description

Computational Biologist
Valthos Inc.
Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.
The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape.
We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use.
We are seeking a highly skilled Computational Biologist to bridge machine learning and biology by building robust data and evaluation frameworks for assessing and responding to biological threats, and for rapidly designing precision biologics.
The Role
  • Contribute to shaping and executing the Valthos-wide research and development roadmap
  • Identify large-scale biological datasets appropriate for training frontier biological models, and build workflows and infrastructure for processing these datasets
  • Design, build, and apply evaluation frameworks for rigorously assessing model performance on real-world problems in biological security
  • Design wet-lab experiments to evaluate the efficacy and real-world utility of designed biologics
  • Collaborate closely with AI engineers to design and train models tailored to tasks in biological security and precision biologics
  • Collaborate closely with software engineers to build and deploy tools for data analysis, including proper documentation and testing
  • Visualize and communicate results clearly within Valthos and externally
  • Work with customers and external collaborators to understand their needs and effectively represent Valthos
  • Embrace continuous learning in both technical and non-technical areas across Valthos
  • Stay up-to-date on state-of-the-art methods at the intersection of AI and biology

Qualifications (required)
  • Experience analyzing biological datasets, ideally sequence-based modalities (e.g., genomic, protein, metagenomic)
  • Experience planning and running in silico computational biology experiments
  • High proficiency in Python and its scientific package ecosystem
  • Experience with bioinformatics sequence analysis tools (e.g., aligners)
  • Experience with cloud computing platforms (e.g., AWS)

Qualifications (preferred)
  • Proven ability to design, implement, and evaluate novel methods in computational biology
  • Experience working with experimental biologists to plan and interpret the results of wet-lab experiments
  • Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
  • Knowledge of biological databases (e.g., NCBI)
  • Experience with machine learning model training and evaluation
  • Contributions to open-source projects

If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.