Postdoctoral Associate - Human Genetics
Core
Conducts scientific research applying bioinformatics and statistical genomics to investigate cancer susceptibility, genotype–phenotype correlations, and biomarkers for early detection.
Role type
Postdoctoral Associate (Human Genetics/Bioinformatics)
Builds
Reproducible pipelines for DNA/RNA sequencing, polygenic risk scores, and genomic biomarker assays.
Domain
Oncology, Human Genetics, Bioinformatics
Deliverable
production ML models
Required skills
Python, R, Linux shell scripting, variant calling, structural variant detection, statistical modeling, reproducible workflow development
Preferred skills
Long-read sequencing analysis, tumor-normal somatic variant analysis, germline variant interpretation, cloud-based analysis of controlled-access datasets, DNA methylation analysis
Technologies
FASTQ, BAM/CRAM, VCF, BED, workflow managers, containerization
Responsibilities
Develop and validate pipelines for short-read and long-read DNA/RNA sequencing; Integrate germline and tumor sequencing to investigate cancer susceptibility; Analyze RNA data to evaluate gene expression and functional consequences of variants; Construct and evaluate polygenic risk scores; Contribute to studies of cancer early detection assays; Collaborate with clinical investigators to interpret findings and prepare manuscripts.
Seniority
Postdoctoral Researcher