Senior / Principal Computational Biologist

Cellarity
Location
Somerville, MA
Job Type
Full-time
Posted
October 24, 2026
Salary Range
$179k - $236k USD

Job Description

What ifyou 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-orientedcomputational biologistpassionate about understanding complex biological systems and disease throughsingle-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-classcomputational 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 ifyou 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-orientedcomputational biologistpassionate about understanding complex biological systems and disease throughsingle-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-classcomputational 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

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 iscommitted to equal employment opportunityregardless 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 Cellarity, a Flagship Pioneering portfolio company, 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.

Frequently Asked Questions

Where is this job located, and is remote work allowed?
The position is located in Somerville, MA. The provided text does not mention a remote or hybrid work-mode policy.
What qualifications and experience are required for this role?
Candidates need a Ph.D. or equivalent in biology, computational biology, or a related scientific field, plus 3+ years of relevant industry experience. Required skills include analyzing single-cell and bulk transcriptomic data, practical Python programming, systems biology knowledge, and fluency with AI tools.
What are the main responsibilities of the Senior / Principal Computational Biologist?
You will serve as the CompBio lead on cross-functional drug programs, applying computational biology and machine learning tools to single-cell molecular datasets. Responsibilities include analyzing disease atlases, evaluating models, validating hits and leads, collaborating with experimental scientists on study designs, and contributing to internal AI agent development.
What is the salary range for this position?
The salary range for this role is $179,000 - $236,000, depending on factors such as qualifications, skills, competencies, and experience.
What benefits are offered by Cellarity?
Cellarity offers healthcare coverage, an annual incentive program, retirement benefits, and a broad range of other benefits.
Who will I collaborate with in this role?
You will be part of a small computational team and collaborate closely with computational biologists, machine learning scientists, experimental biologists, chemists, clinicians, and technologists.

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
cellarity machine learning computational biology single-cell drug discovery immunology clinical LLM

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