Inceptive
Data Generation for ML-based molecule design
Palo Alto, CA
Sponsorship not specified$135k-$240kDetected 5 days ago
PythonMachine LearningDeep LearningStatisticsBioinformaticsMolecular BiologyExperimental DesignCommunicationCollaborationBiostatistics
About the role
- Those models depend on rich, high-quality experimental data that captures biological function.
- You will help determine what data should be generated, how experiments should be structured, how measurement artifacts can be identified, and how biological insights can be translated into scalable data generation strategies.
- We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.
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 in computational biology, systems biology, genomics, bioengineering, biostatistics, biophysics, or a related quantitative discipline, or equivalent practical experience
- Demonstrated track record of analyzing complex biological datasets and translating computational insights into experimental validation or new data collection
- Excellent written and verbal communication skills, including the ability to communicate effectively across computational and experimental disciplines
- 3+ years of post-PhD experience in computational biology, biostatistics, or a related field
- Strong foundation in experimental design, statistical analysis, and quantitative reasoning
- Deep understanding of sources of experimental variability, batch effects, and assay artifacts in biological data
- Capable programmer in Python and common scientific computing libraries
- Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
- Readiness to travel several times a year for company retreats and business events
- We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations
- Experience connecting experimental outcomes to machine learning model development and evaluation
Nice to have
- Preferred technical 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
Apply directly at Inceptive →Create a free account for alerts like thisView Inceptive immigration profile
This listing is sourced directly from Inceptive's careers page and normalized into a canonical job model.