Scientist II, Assay Operations, Screening Platform Technologies

PhD in biological sciences, chemical biology, pharmacology, or bioengineering with 2–4 years of relevant experience; or MS with 5–8 years of experience in industry or biotech settings.

Demonstrated expertise in assay development and optimization for high-throughput and/or high-content screening platforms.

Working knowledge of assay performance metrics and screening QC parameters (Z’, signal/background, CVs, normalization strategies).

Proficiency with data analysis and visualization tools such as Genedata Screener, Spotfire, D360, Excel, or related platforms for large complex data sets

Robust experience with cell based assay development and cell based or phenotypic screening.

Hands-on experience using automation platforms (e.g., Hamilton, Dragonfly, Echo, Mosquito) and familiarity with scheduling software for walk-up and integrated systems.

We are seeking a Scientist II, Assay Operations, Screening Platform Technologies (SPT) to support and scale next-generation cellular screening capabilities for oncology drug discovery.

This role will focus on assay operations, screening execution, automation enablement, and assay scale-up to support high-throughput and high-content screening campaigns across early discovery and lead optimization programs.

The successful candidate will partner closely with cross-functional collaborators across Discovery Sciences, Cancer Biology, Automation, Data Science, and external partners to establish robust, scalable, and operationally efficient screening workflows.

This position is ideal for a scientist with strong experience executing and operationalizing cellular assays who enjoys working at the intersection of biology, automation, and screening infrastructure.

In this role, you will support the transfer, optimization, execution, and scaling of cellular assays across multiple screening platforms, helping ensure assays are automation-ready, reproducible, and fit for high-throughput applications.

You will contribute to the implementation of standardized workflows, assay quality control processes, instrumentation integration, and operational best practices that enable efficient data generation across internal and external screening activities.