Senior ML Research Engineer - Bio Data, Equity & Flex Hours

Outpost Bio; Massachusetts; On-site; USD 145,000 - 170,000; Full time

Job summary

Outpost Bio seeks a Senior ML Research Engineer to design and scale models on multi-omic data, turning experiments into robust research infrastructure. You will own research questions from hypothesis to publication-quality evaluation, building reproducible training and inference systems for fast, trustworthy results in a small cross-disciplinary team.

Based in Boston or London, the role blends biology with engineering, and you’ll contribute to shaping Outpost Bio’s AI platform and scientific

Qualifications

• Proven track record building and shipping ML systems with a research component; PhD, publications, or equivalent evidence.
• Experience with software engineering best practices, preferably in Python.
• Foundation model work: pretraining, transfer learning or fine-tuning.
• Collaborative operator; can work with biologists and cross-functional teams.
• Comfort in a fast-moving, resource-constrained environment.
• Nice to have: omics, sequencing or molecular data; representation learning over sequences, graphs or chemical structures; cloud training infra.

Responsibilities

• Design and train novel machine-learning models for messy multi-omic data, grounded in biological systems.
• Own research questions end to end, from hypothesis and dataset design through training, evaluation and write-up.
• Set rigorous evaluation standards to distinguish real results from artifacts.
• Turn research into reproducible infrastructure with versioned training and inference pipelines.
• Collaborate across data and lab teams to shape experiments and communicate findings in journals and ML conferences.

Skills

ML systems

Python development

PyTorch / TensorFlow

PhD / publications

Cross-functional collaboration

Education

PhD or equivalent evidence

Tools

PyTorch

TensorFlow

Python

Job description

Outpost Bio seeks a Senior ML Research Engineer to design and scale models on multi-omic data, turning experiments into robust research infrastructure. You will own research questions from hypothesis to publication-quality evaluation, building reproducible training and inference systems for fast, trustworthy results in a small cross-disciplinary team.

Based in Boston or London, the role blends biology with engineering, and you’ll contribute to shaping Outpost Bio’s AI platform and scientific