Machine Learning Research Engineer

Qualifications

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

Benefits

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

Responsibilities

• 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

Full Description

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)