Remote Genomics Postdoc: High-Impact Research

Placements24; United States; Remote; USD 60,000 - 85,000; Full time

Benefits offered by this job

Competitive salary

Flexible remote work

Professional development opportunities

Job summary

Placements24 is seeking a highly motivated Postdoctoral Researcher in Genomics for a fully remote role. You will design and execute high-throughput genomic experiments, analyze large datasets, and contribute to publications.

The role emphasizes independence, collaboration with a global team, and cutting-edge sequencing technologies. The ideal candidate holds a PhD in a relevant field and demonstrates proficiency in Python/R, bioinformatics, and statistics, with experience in NGS platforms.

Qualifications

• PhD in genetics, genomics, molecular biology, bioinformatics or related field.
• Experience with experimental genomics and next-generation sequencing technologies.
• Strong programming skills (Python, R) and bioinformatics tools.
• Good grasp of statistics and data analysis for biological datasets.

Responsibilities

• Conduct independent genomics research focusing on disease areas defined by project goals.
• Design and perform experiments across multiple NGS platforms.
• Analyze large-scale genomic data (WGS, exome, RNA-seq) and develop analysis pipelines.
• Interpret results and contribute to manuscript preparation for high-impact journals.
• Collaborate with researchers, technicians, and clinicians across the globe.

Skills

Python

R

bioinformatics

statistics

written communication

remote collaboration

Education

PhD in Genetics/Genomics/Molecular Biology/Bioinformatics

Tools

NGS platforms

bioinformatics pipelines

Job description

Placements24 is seeking a highly motivated Postdoctoral Researcher in Genomics for a fully remote role. You will design and execute high-throughput genomic experiments, analyze large datasets, and contribute to publications.

The role emphasizes independence, collaboration with a global team, and cutting-edge sequencing technologies. The ideal candidate holds a PhD in a relevant field and demonstrates proficiency in Python/R, bioinformatics, and statistics, with experience in NGS platforms.