Genomic Data Scientist, Multimodal Translational Research

Tailored Management; United States; Hybrid; USD 72,294,000 - 157,454,000; Full time

Benefits offered by this job

Weekly Pay

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

Tailored Management seeks a highly independent Computational Scientist in the Human Genetics Department. You will analyze large-scale genetic, genomic, and clinical data from diverse sources, including WGS, scRNA-Seq, scATAC-Seq, and other multimodal datasets, to derive insights for disease biology and translational research.

The role requires strong programming in R, Python, shell scripting, and experience with high-performance computing and Git.

Qualifications

• PhD in Statistical Genetics, Computational Biology, Bioinformatics, Genetic Epidemiology or related field, or a Master’s with substantial relevant experience.
• Experience with large-scale genetic and genomic data analysis is required.

Responsibilities

• Collaborate with Human Genetics scientists to analyze large-scale genetic, genomic, and clinical datasets from internal studies, clinical trials, high-throughput screening programs and collaborations.
• Develop analytical approaches to integrate and interpret complex biological datasets and generate insights into disease biology and translational research.
• Apply machine learning to identify associations between imaging and omics data and document methodologies and results.

Skills

R

Python

Shell scripting

Git

SLURM

HPC

Education

PhD in Statistical Genetics or related

Master's with significant relevant experience

Tools

RStudio

Job description

Tailored Management seeks a highly independent Computational Scientist in the Human Genetics Department. You will analyze large-scale genetic, genomic, and clinical data from diverse sources, including WGS, scRNA-Seq, scATAC-Seq, and other multimodal datasets, to derive insights for disease biology and translational research.

The role requires strong programming in R, Python, shell scripting, and experience with high-performance computing and Git.