US Equipment Sales and Rentals

Overview:

The candidates will join a multidisciplinary team focused on accelerating the digitalization of biological data and enabling data driven scientific innovation. The position will support the development of standardized in vitro/in vivo study workflows and the creation of scalable computational pipelines for multimodal data ingestion and harmonization across the research ecosystem.

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.

•⁠ ⁠0-2 years (MS) or 2-3 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

Job Types: Full-time, Contract

Pay: $40.00 - $45.00 per hour

Expected hours: 40 per week

Work Location: Remote