A Alpha BioHiring

Senior Scientist, Machine Learning Research

  • USD 164,000 to 206,000 per year
  • Seattle, WA
  • Senior
  • Posted 5 days ago
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In one line

Research role building AI and ML models that predict and engineer protein binding, using large experimental datasets; remote in the US with quarterly travel.

About the role

The team turns millions of protein interaction measurements into models for antibody and protein engineering. Good work means defensible benchmarks, reproducible results and code the rest of the company can use.

At a glance

Pay
USD 164,000 to 206,000 per year
Location
Seattle, WA
Work authorisation
The posting states that candidates must already live in the area.
Seniority
Senior
Skills
Machine learning, AI, Protein engineering, Benchmarking
Posted
30 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Design and implement AI/ML methods for predicting and engineering protein-protein interactions
  • Build benchmarks that test model performance, uncertainty and generalization
  • Produce data packages, model executables and technical reports on schedule
  • Contribute to the shared codebase and database, reviewing merge requests and documenting methods
  • Take technical lead on projects, mentor colleagues and publish results

What they look for

  • Experience developing machine learning methods for protein or drug discovery problems
  • Rigorous approach to evaluation, baselines and avoiding data leakage
  • Ability to work across departments and communicate science to partners
  • Comfort with protein sequences, structures and experimental measurements
  • Candidates must live in the United States

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Questions about this job

Where is this job based?

The posting lists Senior Scientist, Machine Learning Research as a role based in Seattle, WA, United States.

Does this job sponsor a work visa?

The posting states that candidates must already live in the area.

What does this job pay?

The posting states USD 164,000 to 206,000 per year.

What experience is needed?

It is a senior role. The posting asks for: experience developing machine learning methods for protein or drug discovery problems; rigorous approach to evaluation, baselines and avoiding data leakage; ability to work across departments and communicate science to partners. Skills it names include Machine learning, AI, Protein engineering, Benchmarking.

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