Remote Bioinformatics Scientist — Genomics & Statistical Genetics

24 Mag

United States

Remote

USD 62,000 - 103,000

Part time

6 days ago
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Job summary

24-MAG LLC is offering a part-time remote engagement for PhD-level computational genomics and bioinformatics professionals with expertise in statistical modelling, R, Python, and reproducible research. You will work on realistic analysis workflows across computational genomics and translational biomedicine, delivering structured scientific reporting.

Ideal candidates will perform QC, apply statistical methods to complex datasets, and develop reusable workflows in R and Python, with strong

Qualifications

  • PhD required in computational biology, bioinformatics, statistical genetics, or related field.
  • Deep hands-on experience analysing biological datasets.
  • Strong experience with genomics, sequencing, single-cell, population genetics, QTL/GWAS.
  • Professional fluency in R and Python.
  • Ability to write, debug, and explain scientific analysis code.

Responsibilities

  • Perform multi-step computational genomics analyses on complex datasets.
  • Develop and validate statistical models for genomic data.
  • Inspect data quality, QC, and exploratory analyses.
  • Design reproducible R and Python workflows and notebooks.
  • Communicate results clearly with scientific context.

Skills

Statistical modelling
Biological data analysis
R
Python
Reproducible research

Education

PhD in computational biology / bioinformatics

Tools

R
Python
Notebooks
Version control
Workflow tools

Job description

24-MAG LLC is offering a part-time remote engagement for PhD-level computational genomics and bioinformatics professionals with expertise in statistical modelling, R, Python, and reproducible research. You will work on realistic analysis workflows across computational genomics and translational biomedicine, delivering structured scientific reporting.

Ideal candidates will perform QC, apply statistical methods to complex datasets, and develop reusable workflows in R and Python, with strong

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