Data Scientist

Benchling work flow design with Python or R and Familiarity with biological assay data is mandatory Role responsibilities: • Develop and optimize in vitro study design frameworks through Benchling, including assay templates, sample‑tracking structures, and standardized data schemas. • Create and maintain harmonized data storage solutions that ensure consistency across assay types and alignment with internal data standards. • Collaborate closely with biologists, computational scientists, and data stakeholders to ensure high‑quality, analysis‑ready datasets. • Support in vivo study data capture, ingestion, and standardization across the broader data ecosystem as needed. • Communicate project progress, challenges, and deliverables proactively with the manager and key stakeholders. Qualifications: • MS or BS in Biology, Computational Biology, Data Science, or a related field. • 1-2 years (MS) or 2-4 years (BS) post-graduate working experience in biotech/pharma industry. • Familiarity with biological assay data (cell‑based assays, plate‑based readouts, etc.). • Hands‑on experience with Benchling, including workflow design, build or assay configuration. • Strong experience developing data pipelines using R or python