Genomic Data Scientist - GWAS & Multimodal Analytics

Triune Infomatics Inc; South San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Triune Infomatics Inc. in South San Francisco, CA, seeks a highly independent Computational Scientist with deep expertise in genetic epidemiology, statistical genetics, and computational biology.

You will develop and apply analytical methods to integrate genetic, genomic, and clinical data across multimodal modalities. The role requires experience with GWAS, RNA-Seq and single-cell sequencing data, strong R/Python skills, and HPC experience (SLURM).

Qualifications

• Extensive experience in large-scale genetic/genomic data analysis including GWAS and RNA-Seq analyses.
• Fluent in R, Python, and shell scripting; familiarity with C++ a plus.
• Experience with Git and SLURM HPC environments.
• PhD (or MSc with significant experience) in related field.
• Strong communication and ability to work in a team.

Responsibilities

• Collaborate with scientists in Human Genetics to analyze large datasets from internal studies, collaborations, and public datasets.
• Develop analytical approaches to integrate and interpret data, delivering insights into disease biology.
• Implement client machine learning algorithms to understand associations between imaging and omics data.
• Coordinate the intake and preparation of new datasets for analysis.
• Document processes, findings, and code for reproducibility.
• Present findings to the department and cross-functional collaborators and contribute to publications.

Skills

Genetic Epidemiology

GWAS

RNA-Seq

scRNA-Seq

scATAC-Seq

Multimodal Data Integration

R

Python

Shell scripting

C++

High-Performance Computing

Education

PhD or MSc in Statistical Genetics / Computational Biology / Bioinformatics / Genetic Epidemiology

Tools

Git

SLURM

Job description

Triune Infomatics Inc. in South San Francisco, CA, seeks a highly independent Computational Scientist with deep expertise in genetic epidemiology, statistical genetics, and computational biology.

You will develop and apply analytical methods to integrate genetic, genomic, and clinical data across multimodal modalities. The role requires experience with GWAS, RNA-Seq and single-cell sequencing data, strong R/Python skills, and HPC experience (SLURM).