Data Architect for AI-Designed Molecules

Inceptive; Palo Alto (CA); On-site; USD 135,000 - 240,000; Full time

Benefits offered by this job

30 days paid vacation per year

Comprehensive health insurance for US

401K with company match

Quarterly company-wide retreats

Learning & Development budget

Job summary

Inceptive seeks a PhD-level Biological Data Scientist to pioneer AI-guided drug design. You will partner with biologists and ML researchers to shape experiments, analyze data quality, and mitigate artifacts across complex biological datasets.

You will design large-scale experiments that generate training data for models, translate insights into scalable data strategies, and travel occasionally to collaborate with teams in the US, Europe, and beyond.

Qualifications

• 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 across computational and experimental disciplines.

Responsibilities

• Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise.
• Develop statistical and computational approaches to characterize assay quality, reproducibility, and sources of experimental variation.
• Identify and investigate sources of bias and measurement artifacts in biological datasets.
• Design and analyze large-scale biological experiments that generate training and evaluation data for machine learning models.
• Partner with experimental scientists to improve assay design, controls, and data collection strategies.
• Collaborate with machine learning researchers to understand how experimental design decisions impact model training and evaluation.
• Analyze, visualize, and communicate findings to support decision-making across scientific and engineering teams.

Skills

Statistical analysis

Experimental design

Data analysis

Communication skills

Python programming

Education

PhD in computational biology / related quantitative discipline

Tools

Python

Job description

Inceptive seeks a PhD-level Biological Data Scientist to pioneer AI-guided drug design. You will partner with biologists and ML researchers to shape experiments, analyze data quality, and mitigate artifacts across complex biological datasets.

You will design large-scale experiments that generate training data for models, translate insights into scalable data strategies, and travel occasionally to collaborate with teams in the US, Europe, and beyond.