Senior Computational Biologist - NGPS

Job Description

Senior Computational Biology - Next Generation Protein Sequencing.

Boston, MA - Hybrid

$150,000 - $175,000 + Equity

3 stage interview process

Help rewrite the rules of protein engineering. Our client is a next-generation biotech developing breakthrough Protein Sequencing technologies by uniting AI, structural biology and machine learning at scale. Their mission : decode and redesign proteins with unprecedented accuracy and you could help shape it.

You'll join a world-class Data Science & Algorithms group building computational pipelines that bring new proteins to life. As a Senior Scientist, you'll design, model and optimize high-affinity protein binders leveraging structural modeling, AI-driven design and experimental feedback loops that close the discovery cycle in real time.

This is your chance to apply state-of-the-art computational methods where they matter most : in transforming biology into designable, predictable technology.

You'll be doing :

Engineering and screening novel protein scaffolds for selective binding.

Building integrated design pipelines using ML , structure-based modeling , and generative tools .

Partnering with wet lab scientists to test, iterate and refine designs based on real-world data.

Push boundaries of protein engineering with high-throughput protein design technologies.

You must have :

Deep expertise in protein structure prediction and design (AlphaFold, ProteinMPNN or related).

Solid understanding of protein-peptide and protein-protein interactions.

Successful track record coding in Python and developing computational or ML-driven design methods.

PhD in Computational Biology, Bioengineering or Structural Biology (or MSc + industry experience).

Bonus points :

Published work in generative or ML assisted protein design.

Send your CV and join the team driving the next breakthrough.

Desired Skills and Experience

You must have :

Deep expertise in protein structure prediction and design (AlphaFold, ProteinMPNN or related).

Solid understanding of protein-peptide and protein-protein interactions.

successful track record coding in Python and developing computational or ML-driven design methods.

PhD in Computational Biology, Bioengineering or Structural Biology (or MSc + industry experience).