Data selection and quality evaluation for biological foundation models
Inceptive · Berlin, Germany or Palo Alto, CA or Zurich, Switzerland
Posted about 2 months ago · $135K – $240K
or apply directly on Inceptive's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 63 days Inceptive's roles stay open a median of 63 days
- Reposted
- No
- Salary listed
- Yes 91% of Inceptive's roles list one
- Ghost-job risk at Inceptive
- high 10 stale, 0 reposted of 11 open
- Hiring momentum
- 11 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-05
Measured from postings appearing on and disappearing from Inceptive's own greenhouse board since 2026-08-03. Full hiring picture for Inceptive.
About this role
In this role at Inceptive, you will work on developing and evaluating biological foundation models for AI-designed drugs by collaborating with biologists and machine learning researchers. Your responsibilities will include designing experiments, analyzing biological datasets, and improving data collection strategies to enhance model training. You will also communicate findings to support decision-making across teams and contribute to a collaborative, antedisciplinary environment.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Inceptive as an employer.
What you need
- 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
- 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
- Excellent written and verbal communication skills, including the ability to communicate effectively across computational and experimental disciplines
Nice to have
- 3+ years of post-PhD experience in computational biology, biostatistics, or a related field
- Experience connecting experimental outcomes to machine learning model development and evaluation
What you get
- $135K – $240K + Bonus + Equity
- 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
Worth weighing
- No salary listed for non-US locations
- Expectations for in-person collaboration may limit remote work options
- Role requires interdisciplinary collaboration, which may require learning outside of traditional expertise
Summarised from Inceptive's posting. Read the full original.
Listed by Inceptive on their greenhouse job board, last confirmed open on 2026-10-05. PitchMeAI is not the employer.
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