Position Details
About this role
This role involves supporting the analysis of genomic, proteomic, and metabolomic data to identify biomarkers and therapeutic targets, leveraging clinical and biobank datasets to inform drug development.
Key Responsibilities
- Analyze multi-omics datasets
- Identify genetic and molecular biomarkers
- Support clinical research with genomic data
- Develop bioinformatics pipelines
- Collaborate with interdisciplinary teams
Technical Overview
The technical environment includes genomics and multi-omics data analysis, bioinformatics pipelines, statistical genetics, and cloud-based platforms for large-scale data processing.
Ideal Candidate
The ideal candidate is a researcher with expertise in human genomics and translational data sciences, experienced in analyzing large-scale multi-omics datasets including WGS, proteomics, and metabolomics, with a strong background in bioinformatics and statistical genetics.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in genomics or bioinformatics, No familiarity with WGS or multi-omics analysis, Inability to work with large-scale datasets
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile