Machine Learning Research Engineer

Key Technology; Boston (MA); Hybrid; USD 180,000 - 210,000; Full time

Job summary

Join a pioneering biotech startup as a Machine Learning Research Scientist where you will develop innovative ML models and push the frontiers of gene therapy. This role seeks an expert who is eager to collaborate closely with experimental teams and drive groundbreaking advancements in protein engineering.

Benefits

10% bonus

Stock options

Visa sponsorship (H-1B or OPT)

Qualifications

• PhD in Computational Biology, Computer Science or related field.
• Hands-on experience in building ML models.
• Publications in leading ML or computational biology journals.

Responsibilities

• Design and test cutting-edge ML methods for gene therapies.
• Collaborate with experimental teams for data collection and validation.
• Lead method development in ML-driven lab settings.

Skills

Machine Learning

Python

PyTorch

Protein Engineering

Education

PhD in Computational Biology, Computer Science

Master's with industry experience

Job description

This range is provided by Key Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $210,000.00/yr

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

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)

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Information Technology, and Science

• Industries

  Biotechnology Research, Research Services, and Technology, Information and Media

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