Remote Lead Computational Biologist - Genomics Expert

Placements24

Kimberley

Hybrid

CAD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Executive-level salary
Remote work flexibility
Health, dental, and vision insurance
Home office stipend
Professional development funds

Job summary

Placements24 is seeking a Lead Computational Biologist to drive insights from genomics, transcriptomics, and proteomics in a fully remote research setting. You will guide a team, define strategic directions, and collaborate across functions to translate data into therapeutic strategies.

The role requires a PhD and 8+ years of leadership in computational biology, with strong Python/R skills and ML expertise. Expect executive-level compensation and extensive remote collaboration.

Qualifications

  • PhD in computational biology, bioinformatics, CS, statistics or a related quantitative field.
  • 8+ years leading computational biology or bioinformatics projects.
  • Experience analyzing genomics, transcriptomics, and proteomics data with Python/R.

Responsibilities

  • Lead design and execution of computation biology projects on large-scale omics data.
  • Develop algorithms and statistical models for data analysis.
  • Mentor and manage a team of computational biologists.
  • Collaborate with experimental scientists to define objectives and strategies.
  • Communicate complex findings to leadership and scientific teams.
  • Stay at the forefront of computational biology and integrate new tech.

Skills

Leadership
Python
R
Statistical methods
Machine learning

Education

Ph.D. in Computational Biology or related field

Tools

Bioconductor

Job description

Placements24 is seeking a Lead Computational Biologist to drive insights from genomics, transcriptomics, and proteomics in a fully remote research setting. You will guide a team, define strategic directions, and collaborate across functions to translate data into therapeutic strategies.

The role requires a PhD and 8+ years of leadership in computational biology, with strong Python/R skills and ML expertise. Expect executive-level compensation and extensive remote collaboration.

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