Assay Operations Scientist II – High-Throughput Screening

Revolution Medicines; San Francisco (CA); On-site; USD 132,000 - 166,000; Full time

Job summary

Revolution Medicines seeks a Scientist II, Assay Operations, Screening Platform Technologies to scale cellular screening for oncology drug discovery. You will drive assay operations, automation enablement, and scale‑up for high‑throughput campaigns across discovery programs.

The role partners with Discovery Sciences, Cancer Biology, Automation, Data Science, and external partners to establish scalable, robust workflows, QC processes, and data generation across internal and external screening

Qualifications

• 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 optimisation for high‑throughput and/or high‑content screening platforms.
• Working knowledge of assay performance metrics and screening QC parameters (Z’, signal/background, CVs, normalisation strategies).
• Proficiency with data analysis and visualisation 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.
• Proven ability to manage and coordinate external CRO partnerships for assay execution and data delivery.
• Excellent organisational and project management skills with the ability to prioritise and balance multiple efforts concurrently.
• Experience supporting phenotypic, mechanistic, or oncology‑focused screening assays.
• Excellent communication skills with a collaborative, team‑oriented mindset and a strong sense of scientific ownership.

Responsibilities

• Optimize, productionalise, validate, and execute robust screening assays across various cellular screening formats (e.g., CellTiter‑Glo, NanoBRET, imaging‑based, and transcriptomic readouts).
• Lead and support execution of high‑throughput and medium‑throughput screening campaigns using automated liquid handling and integrated instrumentation platforms.
• Coordinate assay transfer activities internally and externally, including protocol standardisation, reagent qualification, documentation, and execution support.
• Develop and implement workflows for quantitative, scalable profiling in support of oncology programmes.
• Contribute to experimental design discussions and data review for projects involving molecular glue characterisation and protein interaction modulation.
• Apply advanced data analysis methods, integrating tools such as Genedata Screener, D360, Spotfire, and programming languages (Python, R) to derive actionable insights from complex assay outputs.
• Coordinate and manage tech transfer to external CROs, ensuring quality execution of high‑throughput screens and phenotypic assays.
• Collaborate within SPT and across functions, Med Chem, Cancer Biology, Bioinformatics, Automation, to ensure cohesive project execution and data flow.
• Manage timelines and deliverables for multiple projects simultaneously, maintaining high standards for scientific rigor and project communication.
• Support training and mentorship of junior team members while contributing to the collaborative and mission‑driven culture of SPT.

Skills

Assay operations

High-throughput screening

Data analysis

Automation

Communication

Education

PhD in biological sciences/chemical biology pharmacology or bioengineering

MS with 5–8 years experience

Tools

Genedata Screener

D360

Spotfire

Excel

Python/R

Job description

Revolution Medicines seeks a Scientist II, Assay Operations, Screening Platform Technologies to scale cellular screening for oncology drug discovery. You will drive assay operations, automation enablement, and scale‑up for high‑throughput campaigns across discovery programs.

The role partners with Discovery Sciences, Cancer Biology, Automation, Data Science, and external partners to establish scalable, robust workflows, QC processes, and data generation across internal and external screening