inceptive
High-throughput data generation to advance ML design
$135K–$240K
Palo Alto, CA +1 · Full-time · Posted Oct 21, 2025
- Location
- Palo Alto, CA
Palo Alto, California, United States - Experience
- 4+ years of post-PhD experience (e.g., startup, industry, or research).
- Education
- PhD
About the job
Develop and deploy high-throughput assays that generate functional biological data to improve AI-based design of therapeutic molecules.
What you'll do
- Develop and execute pooled assays measuring sequence-to-function in vitro, in cells, and in vivo.
- Optimize assays and analyze, communicate, and maximize the utility of generated data.
- Collaborate across biology, machine learning, data engineering, and translational disciplines to apply data to molecular design.
What they ask for
- PhD and 4+ years of post-PhD experience.
- Strong foundation in molecular and cellular biology and experimental methods.
- History of building highly multiplexed mammalian-cell assays, such as large functional screens or single-cell ‘omics.
- Scientific programming, preferably in Python, including analysis and visualization of complex data.
Nice to have
- Experience with mammalian synthetic biology, particularly cell therapy applications; knowledge of RNA biology, biochemistry, and biologics drug development.
- Understanding of next-generation sequencing platforms, or experience generating and analyzing large ‘omics datasets via sequencing and/or mass spectrometry.
Pay
$135K – $240K (base salary)
Tools
Python, Illumina, Oxford Nanopore, Pac Bio
AI focus
Generate and analyze data to improve AI-based molecular design; assays measure sequence-to-function properties of large sequence libraries.
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