Scientist I, Synthetic Biology

The role

You will develop pooled screens to test protein variants in parallel using DNA library design, pooled in vitro protein display, and NGS-based enrichment analysis. You will work with Protein Sciences and Machine Learning teams to build screening approaches for protein function.

What you will do

• Build pooled screening workflows for protein binding and functional readouts.
• Establish reliable assay conditions, quantitative measures, and handoff plans.
• Identify opportunities to test unconventional hypotheses for drug program acceleration and IP filings.
• Synthesize findings into recommendations and present them to colleagues.
• Use quantitative reasoning, modeling, and literature review to inform experimental choices.
• Take ownership of applied biology projects from concept through delivery.

Required qualifications

• PhD in synthetic or systems biology, bioengineering or a related field with 0-1 year of experience; alternatively, a bachelor’s or master’s degree with at least 6 years of highly relevant experience.
• Hands-on experience designing and running pooled binding screens.
• Experience designing and building pooled DNA libraries.
• Experience using next-generation sequencing to track enrichment in selection campaigns.
• Ability to interpret complex screening data and write scripts in Python or a similar language.
• Applies quantitative reasoning and sound experimental judgment to assess data quality and troubleshoot assays.
• High level of cross-functional autonomy and self-motivation.

Nice to have

• Experience in mammalian cell engineering and membrane protein studies for one of the roles.
• Experience in computational modeling or statistical analysis.
• Use of both purified proteins and cell-based assays.
• Strong cell-culture skills including CRISPR, lentiviral transduction, or transposon-based integration.
• Experience working with membrane proteins.
• Familiarity with recombinant protein production, purification, and/or binding assays.
• Familiarity with AI-assisted coding tools such as Cursor or other LLM-based platforms.

Benefits

• Annual bonus
• Equity compensation
• Competitive benefits package

About the company

Generate Biomedicines is a clinical-stage generative biology company pioneering the AI revolution in drug design and development. The company integrates machine learning with large-scale experimentation to design proteins with defined biological intent.