Inceptive
High-throughput data generation to advance ML design
Palo Alto, CA
Sponsorship not specified$135k-$240kDetected 14 days ago
PythonMachine LearningDeep LearningData AnalysisMolecular BiologyResearchMass SpectrometryAnimal StudiesCollaboration
About the role
- Our AI models learn to generate therapeutic molecules with improved by training on natural and experimentally-derived data.
- Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models.
- We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data.
Responsibilities
- At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach.
Requirements
- PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)
- Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art
- 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
- Experience generating and analyzing large 'omics datasets, via sequencing and/or mass spectrometry
- 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
- 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
- We value in-person collaboration and expect candidates to work at our lab location
Nice to have
- Preferred skills
Compensation
- A competitive compensation package
- 30 days paid vacation per year
- Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
Benefits
- 30 days paid vacation per year
- Comprehensive health insurance for US based Beginners
- Monthly wellness benefit
- Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone
Visa & Work Authorization
- asis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law
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