Senior​/Principal Computational Biologist

About

Somite.ai

Somite.ai
is a well-funded, venture-backed company transforming stem cell biology with AI. We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies.

Our platform, Delta Stem, accelerates therapy creation and continually improves through data-driven insights.

Founded by Dr. Micha Break stone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.

Location
: Boston

Click the following links to learn more about Somite
: (Use the "Apply for this Job" box below). Ai/status/1922284999891472808

Click the following link to Apply
:

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.

Click this link to Apply
:

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