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