Remote Applied ML Scientist II - Protein Engineering

A-Alpha Bio; Seattle (WA); Híbrido; USD 139.000 - 175.000; Tempo integral

Resumo da vaga

A-Alpha Bio in Seattle, WA seeks a Scientist II to join our Applied Machine Learning team. You will turn large-scale protein interaction data into insights and models that advance antibody and protein engineering.

You’ll lead computational work from defining questions to developing models and communicating results, using AlphaSeq datasets. Ideal candidates have a PhD or equivalent with extensive data-analysis experience, strong Python skills, and a track record of delivering reproducible results

Qualificações

• PhD or equivalent with substantial data-analysis experience in biology.
• Strong Python for scientific computing, data analysis, visualization, and ML model development.
• Experience analyzing large experimental datasets and making defensible data-quality decisions.
• Clear communication of methods, results and limitations to both computational and experimental audiences.
• Experience contributing to a shared codebase with version control and documentation.

Responsabilidades

• Lead analyses of large-scale protein interaction datasets to evaluate binding affinity and design methods.
• Develop and evaluate ML models using experimental measurements, sequences, and structural information.
• Collaborate with experimental scientists to shape study designs and interpret results.
• Deliver results to internal teams and external partners with clear presentations and well-documented datasets.
• Build reusable analytical tools and maintainable Python workflows for others to use.
• Advance computational approaches to increase value of AlphaSeq data.

Conhecimentos

Python

Formação

PhD in a relevant field

Bachelor's degree in related field

Descrição da vaga

A-Alpha Bio in Seattle, WA seeks a Scientist II to join our Applied Machine Learning team. You will turn large-scale protein interaction data into insights and models that advance antibody and protein engineering.

You’ll lead computational work from defining questions to developing models and communicating results, using AlphaSeq datasets. Ideal candidates have a PhD or equivalent with extensive data-analysis experience, strong Python skills, and a track record of delivering reproducible results