Inceptive
Inceptive1d ago
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Building the Experimental Engine for Models of Life

United StatesUnited States·Palo Altomid
Other
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Quick Summary

Overview

Inceptive builds foundation models of life to enable medicines otherwise out of reach. We are seeking an exceptional scientific leader to build the experimental engine that trains, tests,

Technical Tools
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Inceptive builds foundation models of life to enable medicines otherwise out of reach. We are seeking an exceptional scientific leader to build the experimental engine that trains, tests, and improves models that design medicines.

You will integrate molecular and cellular biology, functional genomics, screening, automation, and therapeutic development into a coherent experimental platform. Working closely with ML and translational biology experts, you will design and pioneer experiments to most effectively expand our models’ understanding of life and ability to design better medicines. This is a role for a scientific builder: someone who can identify transformative experimental opportunities, rapidly onboard and, where necessary, invent the required technologies, and assemble outstanding teams to turn ambitious ideas into scalable systems.

Responsibilities

~1 min read
  • Define experimental strategy to close gaps in model understanding and therapeutic design performance
  • Design experiments specifically to train and evaluate generative and predictive models, in close collaboration with biologists and ML experts
  • Generate high-quality, model-ready data using scalable methods such as functional genomics, high-throughput screening, multi-omics, and phenotypic profiling
  • Integrate assay development, automation, data generation, analysis, and interpretation in a fast-paced, collaborative environment
  • Recruit and lead a multidisciplinary team of experimental scientists and technology builders

Requirements

~1 min read
  • An outstanding record of innovation in highly scalable biological assays that advance the state-of-the-art in therapeutic discovery, molecular design, or functional genomics
  • Deep understanding of how experimental design, measurement quality, and biological context determine what models can learn from data
  • Excellent communication across discipline boundaries, including fluency in analyzing and visualizing complex biological data
  • Availability to work with team members across US and Europe, with meetings starting at 7am 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

~1 min read
  • Leadership of a research team of 10+ scientists
  • Hands-on experience in mammalian cell engineering, RNA biology, and biochemistry
  • Hands-on experience using laboratory automation to scale up data generation
  • Development of data-rich in vivo assays, eg, incorporating pooled libraries, single-cell analysis, or spatial profiling

What We Offer

~2 min read

$245K – $305K + 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, as well as access to the Learning & Development platform EdX and Hone
A buddy to help you get settled

Location & Eligibility

Where is the job
Palo Alto, United States
On-site at the office
Who can apply
US

Listing Details

Posted
August 13, 2026
First seen
August 13, 2026
Last seen
August 14, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
60%
Scored at
August 13, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Inceptive
Inceptive
greenhouse
Employees
5
Founded
2017
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InceptiveBuilding the Experimental Engine for Models of Life