Lead Genomics Bioinformatician — Drive Innovative Research

Placements24

United States

Remote

USD 150,000 - 230,000

Full time

29 hours ago
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Benefits offered by this job

Competitive salary
Annual leave and flexible hours
Conference attendance
Access to cutting-edge resources
Collaborative work environment

Job summary

Placements24 is seeking a Lead Bioinformatician to drive genomics research strategies in the United States. You will design analyses for large-scale sequencing data, develop pipelines, and lead a team of bioinformaticians, working alongside experimental biologists and clinicians.

The ideal candidate will have a PhD in a quantitative field with 7+ years in genomics, expert Python/R skills, and experience with HPC and cloud platforms.

Qualifications

  • PhD in a quantitative field is required with genomics emphasis.
  • 7+ years progressive experience in bioinformatics focusing on genomics.
  • Strong programming skills in Python and R with shell scripting.
  • Experience with HPC clusters and cloud platforms is essential.

Responsibilities

  • Lead design and execution of analyses for high-throughput sequencing data.
  • Develop robust bioinformatics pipelines and annotation tools.
  • Mentor and manage a team of bioinformaticians; foster collaboration.
  • Collaborate with experimental scientists to integrate data types.
  • Contribute to grant writing and publications; present findings.
  • Ensure data integrity and scalable storage for large datasets.

Skills

Leadership
Communication
Problem solving

Education

Ph.D. in Bioinformatics, Computer Science, Computational Biology, or related field
7+ years experience in bioinformatics/genomics

Tools

Python
R
Shell scripting
HPC
Cloud computing
Statistical software

Job description

Placements24 is seeking a Lead Bioinformatician to drive genomics research strategies in the United States. You will design analyses for large-scale sequencing data, develop pipelines, and lead a team of bioinformaticians, working alongside experimental biologists and clinicians.

The ideal candidate will have a PhD in a quantitative field with 7+ years in genomics, expert Python/R skills, and experience with HPC and cloud platforms.

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