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Data selection and quality evaluation for biological foundation models (m/w/x)
Selecting and evaluating biological data for foundation models, characterizing assay quality, and identifying bias. PhD or equivalent experience in a quantitative discipline with Python programming skills required. 30 days vacation, company match 401K, and quarterly retreats.
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Anforderungen
- PhD in computational biology, systems biology, genomics, bioengineering, biostatistics, biophysics, or related quantitative discipline, or equivalent practical experience
- Track record 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, effective across computational and experimental disciplines
- Availability to work with team members across US and Europe, with flexible meeting times
- Readiness to travel several times a year for company retreats and business events
- Primarily work from office locations for in-person collaboration
- 3+ years of post-PhD experience in computational biology, biostatistics, or related field
- Experience connecting experimental outcomes to machine learning model development and evaluation
Aufgaben
- Select and evaluate data for biological foundation models
- Develop statistical and computational approaches to characterize assay quality and reproducibility
- Identify and investigate sources of bias and measurement artifacts in biological datasets
- Design and analyze large-scale biological experiments for ML training and evaluation data
- Partner with experimental scientists to improve assay design, controls, and data collection
- Collaborate with machine learning researchers on experimental design impacts
- Analyze, visualize, and communicate findings to scientific and engineering teams
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- 30 days paid vacation
- Comprehensive health insurance
- Monthly wellness benefit
- 401K with company match
- Direktversicherung
- Quarterly company-wide retreats
- Budget for office visits
- Learning & Development budget
- Buddy system
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Zur Originalanzeige bei InceptiveÜber das Unternehmen
The company is creating tools for the rational design of novel, broadly accessible medicines and biotechnologies.
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