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Mathematical Modeling Computational Biologist Jobs

$125 - $150/hr

Computational Biologist (Hybrid) Location San Francisco Bay Area Pay Range $120,000-$140,000, based ... Form Bio's proprietary patent protected AI models are the first of their kind, purpose-built to ...

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How much do mathematical modeling computational biologist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for mathematical modeling 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 does a mathematical modeling computational biologist do?

A Mathematical Modeling Computational Biologist uses mathematical equations, computational methods, and computer simulations to analyze and predict biological processes. They work with large datasets to model complex systems such as gene regulation, disease progression, or ecological dynamics. Their work helps translate biological questions into quantitative frameworks, which can be used to make scientific predictions, guide experiments, and develop new therapies or technologies.

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

To thrive as a Mathematical Modeling Computational Biologist, you need a solid background in biology, mathematics, and computational sciences, typically supported by an advanced degree in a relevant field. Experience with programming languages (such as Python, R, or MATLAB), modeling software, and data analysis tools is essential. Strong problem-solving abilities, interdisciplinary communication skills, and attention to detail distinguish top performers in this role. These skills enable accurate simulation of biological systems, effective collaboration with research teams, and impactful contributions to scientific discovery.

What are the typical challenges faced by mathematical modeling computational biologists when collaborating with experimental scientists?

Mathematical modeling computational biologists often encounter challenges in bridging the gap between theoretical models and experimental data. Effective collaboration requires clear communication to ensure that models accurately reflect biological processes and that experimentalists provide relevant, high-quality data. Differences in terminology, expectations, and timelines can create hurdles, but regular meetings and interdisciplinary teamwork help align objectives and facilitate productive outcomes. Strong collaboration enables iterative refinement of models and deeper biological insights.

What are popular job titles related to Mathematical Modeling Computational Biologist jobs?

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

Infographic showing various Mathematical Modeling Computational Biologist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Senior / Principal Computational Biologist

Somerville, MA • On-site

Flagship Pioneering, Inc.
Biotechnology Research and Development • 51 - 200 employees

Full-time

Medical, Retirement

Posted 13 days ago


Key responsibilities

  • Apply computational biology and machine learning tools to analyze high-dimensional molecular datasets, including large-scale scRNA-seq and snRNA-seq disease atlases.

  • Develop and lead data analysis strategies and collaborate with stakeholders across biological and clinical projects.

  • Act as the computational biology co-lead on drug programs, working with experimental scientists to ensure proper study design and data interrogation.


Job description

What if you could join a rapidly growing company and play a critical role in bringing new medicines to patients through looking at and treating disease in a revolutionary way.
What this position is all about:
Are you a highly motivated and detail-oriented computational biologist passionate about understanding complex biological systems and disease through single-cell omics and large-scale patient datasets? This role offers a unique opportunity to contribute to the development and application of Cellarity's platform for drug discovery.
You will be part of a small and dynamic computational team focused on generating high-impact insights. As the computational biology lead embedded in our cross-functional drug discovery programs, you will collaborate closely with world-class computational biologists, machine learning scientists, experimental biologists, chemists, clinicians, and technologists to co-develop hypotheses from cell atlases and advance programs from biological model development through hit identification and lead optimization. Specifically, you will identify disease-associated states in cell atlases, guide development of the in vitro and in vivo systems that model them, use our single-cell AI models to predict chemical entities that revert them to healthy, and build proprietary data assets along the way.
If you're excited about applying your skills to real-world therapeutic challenges, working with proprietary, high-quality datasets, and learning from leading experts across disciplines, we want to hear from you.
What you would be responsible for:
    • Act as the CompBio lead and core team representative on our cross-functional drug programs. Develop & lead data analysis strategies and ideation across diverse projects with internal and external stakeholders.
    • Apply computational biology and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with a focus on large-scale scRNA-seq & snRNA-seq disease atlases.
    • Use transcriptomic data across the program lifecycle to develop disease hypothesis, evaluate in vitro and in vivo models, analyze perturbation effects, validate hits and leads, and deconvolute targets and mechanism of actions.
    • Work with experimental scientists to ensure that study designs & data are properly interrogated to deliver high value readouts and actionable insights that directly prioritize next experimental steps.
    • Contribute to internal AI agent development for Cellarity's scientific use cases.

What experiences will you need:
    • Ph.D. or equivalent in biology, computational biology, or related scientific field.
    • 3+ years of relevant industry experience.
    • Extensive experience in analyzing and deriving hypotheses from single-cell and bulk transcriptomic data, preferably also with large-scale single-cell atlases.
    • Demonstrated understanding of molecular and systems biology, diverse molecular data types, and analysis tools. Proven ability to bridge wet lab and computational efforts and collaborate effectively across functions.
    • Practical programming and scripting skills, preferably in Python.
    • Fluency with AI tools to accelerate daily scientific work (incl. coding assistants, LLMs, and agentic workflows), while maintaining high scientific rigor over the outputs.
    • Fast learner, analytical thinker, independent, "hands-on", strong communication skills.

What sets you apart:
  • Background in metabolic or liver diseases, autoimmune disease, or hematology.
  • Experience with generating, analyzing, and deriving hypotheses from other single-cell omics data types or large-scale clinical datasets.
  • Experience driving an impactful and relevant project within industry.
  • Background in statistics or machine learning.
  • Experience with clinical or biological data.
  • Interested in learning any of the above.

What it's like to work at Cellarity
At Cellarity, we

  • Push Boundaries: We create a legacy with breakthrough science in service of patients.
  • Inject Energy: We build strengths from different perspectives and tell it like it is
  • Own it: We transcend our job descriptions and relentlessly follow through on our commitments.
  • Go all out: We work quickly and with conviction.

Company Summary: Cellarity's mission is to fundamentally redesign the way drugs are created for the sake of bringing new hope to patients. By shifting the focus from a single target to the underlying cellular dysfunction, we unravel the complexity of disease biology and create medicines that were never before possible. The company has developed unique capabilities that link biology and chemistry with high dimensional -omic data from which we design medicines against the cellular signature of disease. The Cellarity platform allows us to uncover new biology in diseases even in the absence of known causal targets. The company has drug discovery programs underway in several disease areas, including metabolic disease, hematology, and immunology. Cellarity's goal is to grow into a fully integrated next generation Biotech company driving a new age in drug creation.
Cellarity is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Recruitment & Staffing Agencies: Cellarity does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Cellarity or its employees is strictly prohibited unless contacted directly by Cellarity's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Cellarity, and Cellarity will not owe any referral or other fees with respect thereto.
The salary range for this role is $179,000 - $236,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Cellarity currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Cellarity's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.