Inceptive aims to develop biological software to create novel medicines and biotechnologies by generating therapeutic molecules with improved properties. The company is focused on acquiring relevant data at scale to enhance AI model performance and improve molecular design.
Requirements
- PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)
- Solid foundation in theory and techniques of molecular and cellular biology
- History of building highly multiplexed assays to generate rich datasets from mammalian cells, such as large functional screens or single-cell ‘omics
- Scientific programming (preferably in Python), including analysis and visualization of complex data
- Experience with mammalian synthetic biology, particularly for cell therapy applications
- Knowledge of RNA biology, biochemistry, and biologics drug development
- Strong understanding of next-generation sequencing platforms (Illumina, Oxford Nanopore, Pac Bio), including library preparation and data analysis
Responsibilities
- Develop and deploy novel high-throughput assays to measure various properties of large sequence libraries.
- Use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected.
- Apply data to efficiently improve the design of therapeutic molecules in collaboration with biologists, ML and data engineers, and translational experts.
- Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo.
- Generate, analyze, and communicate data that maximally impacts AI-based molecular design.
- Provide technical leadership and mentorship, helping to set experimental strategy, guiding team members, and drive projects from conception through execution.
- Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation.
Other
- Availability to work with team members across US and Europe, with meetings starting at 8am PT
- Readiness to travel several times a year for company retreats and business events
- Expectation to work at our lab location (in-person collaboration is valued)
- Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art
- Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
