About the Company

Want to break barriers in gene therapy?

Join a trailblazing biotech startup as a Machine Learning Research Scientist and help us engineer viral capsids that deliver treatments with pinpoint precision. With our first capsid licensed to a pharma giant, we’re on the fast track, and your ML expertise will help drive the next leap forward.

Your Mission

Pioneer ML Models: Design and test cutting-edge ML methods to optimize capsid designs for game-changing gene therapies.
Team Up: Work closely with our experimental team to shape data collection and validate your models for real-world impact.
Innovate Boldly: Push the boundaries of protein engineering with structure-based models (think AlphaFold vibes) and biological sequence design.
Shape the Future: Lead method development in our ML-driven, lab-in-the-loop setup.

Qualifications

PhD in Computational Biology, Computer Science, or related field (or a Master’s with standout industry experience from a top institution).

Required Skills

Hands-on experience building ML models from the ground up, ideally in protein or biological sequence design.
Impressive publications in leading ML or computational biology journals.
Python and PyTorch wizard with a passion for solving tough biological puzzles.
Eager to work hybrid in New York or Boston (at least 1 day/week in-office).

Preferred Skills

Nice-to-Have: Background in protein engineering campaigns

Pay range and compensation package

Rewards: $180K–$210K base, 10% bonus, stock options, and visa sponsorship (H-1B or OPT with 1+ year remaining).

Equal Opportunity Statement

We’re an Equal Opportunity Employer, passionate about diversity and innovation.

Ready to Change Lives?

Send your resume (with publication links)

Key Technology

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Machine Learning Research Engineer