Computational Genomics Data Scientist (PhD)

Obsidian; San Francisco (CA); Remote; USD 150,000 - 190,000; Full time

Job summary

Obsidian is seeking a highly skilled computational biologist to perform realistic, multi-step data-analysis tasks across computational genomics, quantitative biology, and translational biomedicine. You will independently inspect datasets, apply QC, choose statistical methods, and run analyses in R and Python to generate reproducible results.

You will interpret findings in the context of biological questions, document methods and assumptions precisely, and communicate uncertainty clearly.

Qualifications

• PhD in computational biology, bioinformatics, or related field.
• Deep hands-on experience analyzing biological or biomedical data.
• Fluent in R and Python; ability to write and explain code.
• Strong statistical modelling, experimental design, QC, and inference.
• Experience with multi-step computational workflows from raw data to interpretation.
• Clear scientific writing documenting methods and results.
• Familiarity with reproducible research practices (notebooks, version control).

Responsibilities

• Complete realistic, multi-step scientific data-analysis tasks in computational genomics, quantitative biology, and translational biomedicine
• Independently inspect datasets, perform quality control and exploratory analysis, select appropriate statistical methods, and execute analyses in R and Python
• Navigate ambiguous research workflows by identifying key analytical decisions, potential confounders, and limitations in the available data
• Use scientific software, code, and command-line tools to generate reproducible analyses and structured final outputs
• Interpret results in the context of the underlying biological or translational question, clearly communicating assumptions, uncertainty, and conclusions
• Work with a multidisciplinary team of scientists and AI research specialists

Skills

R

Python

Statistical modelling

Data analysis

Education

PhD in computational biology

Tools

Git

Jupyter

Job description

Obsidian is seeking a highly skilled computational biologist to perform realistic, multi-step data-analysis tasks across computational genomics, quantitative biology, and translational biomedicine. You will independently inspect datasets, apply QC, choose statistical methods, and run analyses in R and Python to generate reproducible results.

You will interpret findings in the context of biological questions, document methods and assumptions precisely, and communicate uncertainty clearly.