Machine Learning Research Scientist

About the role

As an ML research scientist, you’ll design novel ML methods and develop benchmarks that reflect clinically relevant biology. You will analyze large-scale sequencing datasets (bulk RNA-seq, single-cell, long-read) to inform model development and evaluation.

Responsibilities

• Design and prototype new ML methods (representation learning, generative modeling, contrastive pretraining) for RNA biology.
• Develop benchmarks and evaluation frameworks for tasks spanning diagnostics, patient stratification, biomarker discovery, and more.
• Analyze large-scale sequencing datasets (bulk RNA-seq, single-cell, long-read) to inform model development and evaluation.

Requirements

• PhD (or equivalent experience) in Machine Learning, Computational Biology, or related fields.
• Demonstrated track record in ML research (publications, impactful projects, or deployed systems).
• Expertise in representation learning, and/or large-scale sequence modeling.
• Ability to independently design and execute research projects.

Qualifications

• Familiarity with transcriptomics, RNA biology, or other -omics data.
• Experience developing benchmarks for biological or clinical ML tasks.
• Prior collaboration with clinical researchers, diagnostic developers, or biomarker discovery teams.
• Previous work in an early-stage, fast-paced environment.

Skills

• Strong programming skills in Python/R/Java/C++.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of statistical methods and machine learning algorithms.
• Excellent communication and collaboration skills.

Benefits

• Competitive salary and meaningful early-stage equity.
• Comprehensive health, dental, and vision coverage.
• Generous vacation and parental leave policies.

Pay

$150K - $250K

Schedule

0.20% - 1.00%