Computational design of biological experiments for model development

Qualifications

• PhD in computational biology, statistics, physics, machine learning, or a related quantitative discipline, or equivalent practical experience, with record of publications or open source tooling in these fields
• Strong quantitative reasoning and statistical intuition
• Demonstrated ability to identify important scientific questions, design rigorous investigations, and draw reliable conclusions from complex biological data.
• Experience analyzing high throughput sequencing data (e.g. RNA-seq, functional genomics / transcriptomics, MPRA), with a focus on robust statistical analysis
• Experience collaborating closely with AI/machine learning researchers or applying machine learning or generative AI tools to scientific problems
• Familiarity with current AI/machine learning methods, including generative foundation models, representation learning, and model evaluation
• Familiarity with publicly available biological datasets and data derived from high throughput assays
• Capable programmer in Python and common scientific computing libraries
• Excellent written and verbal communication skills, including the ability to explain complex findings to audiences with diverse technical backgrounds
• 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

Preferred technical skills

• 3+ years of post-PhD experience in computational biology, biostatistics, machine learning research, or a related field

Compensation

$135K – $240K + Bonus + Equity

What we offer

• A competitive compensation package
• 30 days paid vacation per year
• Comprehensive health insurance for US based Beginners
• 401K with company match for US based Beginners and Direktversicherung for German Beginners
• Quarterly company-wide retreats
• Monthly wellness benefit
• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth
• A buddy to help you get settled
• Varies by country and does not apply to internships

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. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.

It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis 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. Inceptive prohibits any such discrimination or harassment.

Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

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Posted Nov 01, 2026

Posted Nov 01, 2026

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