Research Engineer
Core
Build a mature, integrated data & analytics engine for commercial use in Life Sciences by translating statistical genetics innovations into scalable tools.
Role type
Research Engineer (IC2/IC3)
Builds
In-house Life Sciences tools, pipelines, and SaaS analytics for drug discovery and predictive healthcare.
Domain
Life Sciences / Genomics / Data Science
Deliverable
production ML models | product features
Required skills
Python, large-scale data analysis, Linux/HPC/cloud environments, LLM programming assistants, algorithm implementation, codebase maintenance
Preferred skills
Bioinformatics/genomics tools, workflow design (WDL/CWL), containerization (Docker/Singularity), R/C++, statistics, machine learning
Technologies
Python, Linux, AWS, Docker, Singularity, WDL, CWL
Responsibilities
Expand and maintain in-house Life Sciences tools and pipelines; Implement algorithms to high standards of robustness and performance; Run high-quality analyses of large-scale biological datasets; Contribute to internal and external presentations and publications; Keep knowledge current on genomics and scientific computing; Lead projects requiring integrated updates across multiple tools (IC3)
Seniority
IC2 (Individual Contributor) or IC3 (Senior, greater autonomy and project leadership)