Demo

Senior / Principal Computational Biologist

Somite AI
Boston, MA Full Time
POSTED ON 9/13/2025
AVAILABLE BEFORE 10/11/2025
About Somite

Somite.ai is a venture-backed company aiming to become the OpenAI of stem cell biology, developing AI foundation models for human stem cells to drive novel cell therapies at scale.

We take a full-stack approach - generating data at 1,000x lower cost, training large-scale models with unmatched predictive power, and using these models to discover, refine, and optimize high-impact applications in cell therapy.

Our founding team includes repeat AI entrepreneur Dr. Micha Breakstone (Chorus.ai, acquired for $575M), the Head of the Fundamental AI Group at MIT (pioneered the foundational research on scaling laws), and three Harvard Medical School professors and National Academy of Sciences/Medicine members, including the Chair of the Genetics Department at HMS. Based in Boston and launching operations in January 2024, Somite has raised close to $60M to date (Forbes).

Somite’s Core Values:

  • We show up – fully accountable, all-in, doing whatever it takes
  • We act with urgency – swift, decisive, proactive
  • We support one another – collaborative, helpful, empathetic

Location:

Boston, MA (onsite, full-time)

About the Role:

As a Senior Computational Biologist, you will play a key role in creating pipelines, models and performing research over large scale single cell datasets. This role is ideal for someone who is passionate about large-scale transcriptomic data that will be used to create groundbreaking cell replacement technologies. You will work at the intersection of developmental biological research, data science, and software development, contributing to single-cell and spatial transcriptomics analysis, translating scientific discoveries into cutting edge cell replacement therapies.

Responsibilities:

  • Drive new research directions at the interface of bioinformatics and AI-powered stem cell biology
  • Develop and optimize computational biology pipelines for preprocessing, analysis, modeling and interpretation of high-dimensional transcriptomic data
  • Stay at the forefront of computational biology, keeping up with state-of-the-art techniques in developmental biology, single-cell multi-modal analysis and spatial transcriptomics
  • Operate autonomously in a fast-moving startup, helping shape Somite’s computational biology roadmap
  • Mentor and provide technical guidance to team members, fostering collaboration and knowledge sharing across disciplines
  • Collaborate closely with other computational biologists, machine learning researchers, and software engineers to build robust, scalable solutions

Qualifications:

  • PhD in Computational Biology, Bioinformatics, Computer Science, or a related field
  • 3 years of experience analyzing large-scale genomic and transcriptomic datasets, such as single cell RNA-seq and spatial omics
  • Solid computational and statistical skills, with demonstrated experience in high-dimensional biological data analysis
  • Strong programming skills and experience developing robust products, preferably in Python
  • Passion for data-driven biology and its potential to transform healthcare

Preferred Qualifications:

  • Strong domain knowledge in developmental biology or stem cell research (highly advantageous)
  • 2 years of experience in non-academic industry setting
  • Prior experience in a startup or fast-paced environment
  • Experience in machine learning, and and developing models over biological data
  • Strong publication record in top journals

Benefits:

  • Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions
  • Work alongside a talented and passionate team at the forefront of AI and cellular biology
  • Contribute to the development of groundbreaking therapies that address significant unmet medical needs
  • Enjoy a competitive salary and benefits package, including flexible work options

Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.

Join us and help unlock the full potential of AI for the benefit of human health!

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