Senior Machine Learning Scientist
Core
Build AI and machine learning systems to turn complex biological data into actionable scientific insight for target discovery and therapeutic decisions.
Role type
Senior Machine Learning Scientist (Biotech/Genomics)
Builds
Production ML models, agentic AI workflows, and AI-assisted analysis tools for genomics and target discovery.
Domain
Biotechnology / Genomics / Causal Biology
Deliverable
production ML models | product features
Required skills
Python, Deep Learning, training/fine-tuning foundation models, agentic AI workflows, causal inference, single-cell genomics, genotype-phenotype modeling, large-scale biological data analysis
Preferred skills
biomedical foundation models, Perturb-seq, representation learning, open-source research contributions
Technologies
Python, LLM-based workflows, agentic development tools
Responsibilities
Build ML models for genomic, single-cell, perturbation, and phenotype data; Develop agentic AI workflows to help scientists analyze data and test hypotheses; Train and fine-tune foundation models and language models for target discovery; Model relationships between genotype, cell state, perturbation response, and disease mechanism; Collaborate with computational scientists, experimental biologists, and software engineers; Communicate model assumptions, limitations, and next steps clearly.
