Part-Time ML Engineer: Drug Discovery & Functional Modeling

Astrix Inc.; California (MO); Remote; USD 69,000 - 79,000; Part time

Job summary

Astrix Inc. is seeking a Machine Learning Engineer to join an AI for Drug Discovery team focusing on applying ML to large-molecule and antibody discovery. This is a highly collaborative, hands-on role supporting multiple biological pilot projects.

The position emphasizes translating computational concepts into ML solutions, building data pipelines, evaluating models, and delivering scalable foundations for longer-term functional modeling initiatives. 16 hours per week, remote in the U.S.

Qualifications

• 3+ years hands-on ML engineering with an advanced degree in CS/Bioinformatics/Computational Biology.
• 5+ years of practical experience building end-to-end ML pipelines may be considered in lieu of an advanced degree.
• Authorized to work in the United States without requiring visa sponsorship.
• Proficient in Python, Pandas, SQL; experience with Scikit-learn.
• Strong communication with technical and scientific stakeholders.

Responsibilities

• Build robust interim data pipelines using Python, Pandas, and SQL.
• Partner with Data Engineering to design scalable database workflows.
• Develop, train, tune, and evaluate ML baseline models across biological pilots.
• Build graph-based ML prototypes for functional modeling and drug discovery.
• Translate ML concepts into practical proofs-of-concept within 3–4 months.
• Iterate on models based on guidance from ML architects and scientific feedback.
• Package ML code into reusable tools for biologists to run models.

Skills

ML engineering

Communication

Problem solving

Education

M.S. or Ph.D. in CS/Bioinformatics/Computational Biology

Tools

Python

Pandas

SQL

Scikit-learn

PyTorch

PyTorch Geometric

Job description

Astrix Inc. is seeking a Machine Learning Engineer to join an AI for Drug Discovery team focusing on applying ML to large-molecule and antibody discovery. This is a highly collaborative, hands-on role supporting multiple biological pilot projects.

The position emphasizes translating computational concepts into ML solutions, building data pipelines, evaluating models, and delivering scalable foundations for longer-term functional modeling initiatives. 16 hours per week, remote in the U.S.