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Computational Biologist Jobs (NOW HIRING)

URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused on Genetic Advancement and Trait Discovery. This role is suited for a creative and career motivated ...

URUS is seeking a Computational Biologist to join our Innovation group as part of the team focused on Genetic Advancement and Trait Discovery. This role is suited for a creative and career motivated ...

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

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 ...

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

Computational biologist role We're hiring a computational biologist to analyze our patients' omics data. This role sits at the intersection of cutting-edge science and real-world clinical impact: you ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

The Opportunity The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative ...

The Opportunity The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative ...

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Computational Biologist information

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$48.5K

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How much do computational biologist jobs pay per year?

As of Jun 13, 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 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 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 is a computational biologist?

A computational biologist is a scientist who uses mathematical models, computer algorithms, and data analysis techniques to study biological systems and processes. Their work often involves analyzing large datasets, such as genomic sequences or protein structures, to gain insights into biology and medicine. Computational biologists play a crucial role in fields like genomics, drug discovery, and personalized medicine by helping interpret complex biological data. They typically collaborate with experimental biologists and use programming languages and specialized software in their 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 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 June 2026, with employment types broken down into 14% Full Time, 85% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.
Computational Biologist II

Full-time

Posted 22 days ago


Dana-Farber Cancer Institute rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

The Hale Family Center for Pancreatic Cancer Research (https://labs.dana-farber.org/halecenter/) at the Dana-Farber Cancer Institute is dedicated to accelerating the translation of advancements from research to the clinic to improve pancreatic cancer detection, care, and outcomes. The Hale Center fosters collaboration between clinical, translational, and research experts both internally within the Hale Center and Dana-Farber as well as externally across the broader biomedical community through both academic and industry partnerships. The Hale Center currently consists of 20 investigators together with dedicated Hale Center staff with a collective breadth of expertise in clinical trials, data sciences, machine learning, epidemiology, immunology, medicinal chemistry, molecular & cellular biology, pathology, and radiology.
The Hale Center is seeking a highly motivated Computational Biologist II, who will be responsible for complex data analysis or processing of biological data, with a focus on spatial proteomic and transcriptomic technologies.
The Computational Biologist is a quantitative scientist who collaborates with scientific and clinical investigators as well as with other research staff in the analysis of high-throughput data, and dissemination of scientific results.
The Computational Biologist may work on many types of projects and areas of research including spatial technologies, cancer genomics, functional genomics, molecular imaging, data management and integration, and querying biological databases.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
 

  • Data Processing:  Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization. Adapts tools when necessary.
  • Data Analysis:  Performs routine analysis for which established tools exist and are considered reliable.
  • Keeps up with the computational biology literature to assure pipelines components are up to date. Adapts tools when necessary.
  • Data and Software Management:  Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates. Evaluates published tools and updates pipeline as necessary. Writes scripts that perform this automatically.
  • Manuscript Preparation:  Independently edits and drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures. 
  • Grant Preparation:  Helps to formulate specific aims, explains options for experimental design, and develops data analysis plans.   Minimal guidance is expected.
  • Research Portfolio Management:  Develops timelines and components for larger projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly.
  • Team interactions:  Share strategies for effective interaction with investigators, as well as for efficient task management.  Share analytic strategies with peers.  Suggest professional team initiatives.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

  • Computational Skills:  Expert Knowledge of UNIX/Linux. Strong knowledge of scripting in Python and statistical programming using R.
  • Data analysis Skills: Experience with principles of experimental design and the modern data analysis paradigms is required.
  • Collaboration: Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally.
  • Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts.
  • Excellent analytical, organizational and time management skills.

MINIMUM JOB QUALIFICATIONS:

Minimum Education:
Bachelor's degree required in a STEM field.  Master’s degree preferred in bioinformatics, computational biology, statistics, biostatistics, computer science and/or the life sciences.

Minimum Experience:
2 years with Bachelor’s degree or 1 year with Master’s degree; academic research experience or authorship in scientific publications experience may substitute for work experience.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.  

EEO Poster.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$85,000.00 - $105,000.00

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About Dana-Farber Cancer Institute

Sourced by ZipRecruiter

Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Boston, MA, US

Year founded

1947