Senior Scientific Software Engineer, Analytics and Workflows
Core
Build innovative analytical tools and reproducible workflows to transform complex biological data (transcriptomics, epigenetics) into actionable insights for drug discovery and development.
Role type
Senior Scientific Software Engineer (Bioinformatics/Analytics)
Builds
Scalable analysis workflows, libraries, and standalone tools for bulk and single-cell data
Domain
Life Sciences / Drug Discovery / Computational Biology
Deliverable
production ML models | product features
Required skills
R package development, statistical methods for single-cell and bulk data, transcriptomic and epigenetic analysis, software development lifecycle, multimodal data formats (Parquet, tileDB, Zarr, H5), REST APIs, FAIR data management
Preferred skills
Bioconductor, Tidyverse, RMarkdown/Quarto, Shiny, Plumber, Python (Pandas, Polars, Streamlit, FastAPI), life science environment experience
Technologies
R, Posit, Parquet, tileDB, Zarr, H5, REST APIs, MCPs
Responsibilities
Establish and maintain workflows for transcriptomic and epigenetic data analysis, evaluate and productionize analytical tools, collaborate with computational scientists to define reusable components, develop scientific tools for data access via various interfaces
Seniority
Senior, hands-on IC
