# Senior / Principal Computational Biologist

**Company**: Cellarity
**Location**: Somerville, MA
**Experience**: senior
**Job type**: full-time
**Salary**: $179,000 - $236,000
**Category**: Research
**Industry**: Healthcare

**Apply**: https://job-boards.greenhouse.io/flagshippioneeringinc/jobs/8742220002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
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## Description

Join Cellarity, a rapidly growing biotech company, as a Senior / Principal Computational Biologist. You will play a critical role in bringing new medicines to patients by applying your skills to real-world therapeutic challenges. As a computational biology lead, you will collaborate with cross-functional teams to co-develop hypotheses from cell atlases and advance programs from biological model development through hit identification and lead optimization.

Responsibilities:

- Act as the CompBio lead and core team representative on cross-functional drug programs

- Develop and lead data analysis strategies and ideation across diverse projects

- Apply computational biology and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets

- Use transcriptomic data to develop disease hypotheses, evaluate models, analyze perturbation effects, and validate hits and leads

- Work with experimental scientists to ensure study designs and data deliver high-value readouts and actionable insights

- Contribute to internal AI agent development for Cellarity's scientific use cases

Requirements:

- 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

- Demonstrated understanding of molecular and systems biology, diverse molecular data types, and analysis tools

- Practical programming and scripting skills, preferably in Python

- Fluency with AI tools to accelerate daily scientific work

Nice to Have:

- 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

Benefits:

- Healthcare coverage

- Annual incentive program

- Retirement benefits

- Broad range of other benefits

## Skills

### Required
- Python
- computational biology
- machine learning
- single-cell omics
- transcriptomic data analysis

### Nice to have
- metabolic diseases
- liver diseases
- autoimmune disease
- hematology
- statistics
- clinical data analysis

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