Research Scientist: Machine Learning for Drug Discovery and Genomic Data
Core
Design and implement AI research prototypes for life sciences, focusing on genomic medicine, computational chemistry, and de novo molecule generation.
Role type
Senior IC machine learning research scientist (drug discovery & genomics)
Builds
AI research prototypes for genomic medicine and computational chemistry
Domain
Life sciences, bioinformatics, computational chemistry
Deliverable
production ML models
Required skills
Machine learning and deep learning foundations, Python and Scientific Python (NumPy), PyTorch, parallel computing and GPU acceleration, data engineering and SQL, Linux OS and shell scripting, git
Preferred skills
LLMs (RAG, PEFT, agentic workflows), genomic data formats (FASTQ, VCF), EHR dataset processing, Knowledge Graph technologies, back-end development (Django, Flask), open-source contributions
Technologies
PyTorch, NumPy, Linux, SQL, SMILES, PDB, Neo4j
Responsibilities
Design and implement AI research prototypes for life sciences; Develop and implement machine learning models for de novo molecule generation and property prediction; Design and optimize deep learning architectures for molecular generation; Build data ingestion pipelines for large-scale biochemical and multi-omics datasets; Collaborate with subject matter experts to integrate domain knowledge into AI models
Seniority
Senior, hands-on IC
