Lead Multi-Omic Bioinformatics Scientist

University of Colorado System

Aurora (CO)

Hybride

USD 90 000 - 105 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Excellent benefits
Tuition benefit
ECO Pass

Résumé du poste

University of Colorado Anschutz is seeking a Research Instructor to lead bioinformatic analyses for a translational biorepository. The role focuses on integrating PhIP-Seq, CYTOF, proteomics, and clinical data with WGS results, shaping data strategy, and building reusable infrastructure.

You will mentor 1–3 analysts, collaborate with clinicians and computational scientists, and contribute to publications and grant applications while advancing multi-omic analyses and reproducible research

Qualifications

  • PhD in bioinformatics, computational biology, biostatistics, or data science.
  • Four years of professional or research experience conducting bioinformatic analyses.
  • Demonstrated experience with multi-omics data modalities.

Responsabilités

  • Lead analysis and integration of PhIP-Seq, CYTOF, proteomics, clinical data, and WGS results.
  • Develop analysis plans for biomarkers of disease subtype, prognosis, and treatment response.
  • Design reproducible pipelines and data infrastructure for expanding biorepository.
  • Provide technical leadership, code review, and mentorship to junior analysts.

Connaissances

Bioinformatics
R
Python
Omics data integration

Formation

PhD in bioinformatics or related field

Outils

Nextflow
Snakemake
Docker/Singularity
HPC/Cloud computing
Git/VCS

Description du poste

University of Colorado Anschutz is seeking a Research Instructor to lead bioinformatic analyses for a translational biorepository. The role focuses on integrating PhIP-Seq, CYTOF, proteomics, and clinical data with WGS results, shaping data strategy, and building reusable infrastructure.

You will mentor 1–3 analysts, collaborate with clinicians and computational scientists, and contribute to publications and grant applications while advancing multi-omic analyses and reproducible research

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