Demo

Bioinformatician (Junior / Mid-Level) Genomic Data Science

Laureate Institute for Brain Research
Tulsa, OK Full Time
POSTED ON 3/4/2025
AVAILABLE BEFORE 6/3/2025

Overview

We are seeking a motivated bioinformatician with a strong foundation in genomics to join our academic research team. The ideal candidate will work with large-scale GWAS data, genomic annotations (including spatial transcriptomics), and associated summary data to build streamlined analysis pipelines and databases.

Key Responsibilities

  • GWAS Data Management : Locate, download, and curate summary statistics from large-scale GWAS repositories.
  • Annotation Integration : Identify and retrieve relevant genome annotations (e.g., gene models, epigenomic maps, spatial transcriptomics) to support post-GWAS analyses.
  • Database Development : Develop a consistent, queryable database for GWAS and annotation data.
  • Genomic Data Analysis : Process genotype and sequencing data, perform quality control, and derive polygenic inferences.
  • Pipeline Automation : Collaborate in building and maintaining automated workflows for downstream analyses.

Required Qualifications

  • Education : Ph.D. in Bioinformatics, Computational Biology, Human Genetics, or related field, or a Masters degree with 4 years of relevant experience.
  • Genomics Expertise : Solid understanding of GWAS, variant QC, imputation, and polygenic risk scoe.
  • Programming Skills : Proficiency in Python, R, and Linux shell scripting.
  • Data Handling : Experience with large genomic datasets using tools such as PLINK, BCFtools / VCFtools, and public databases (e.g., Ensembl, GWAS Catalog).
  • Computing : Experience with HPC or cluster computing environments.
  • Preferred Skills

  • Experience with workflow management systems (Nextflow, Snakemake).
  • Familiarity with SQL or noSQL database systems.
  • Knowledge of cloud computing environments and containerization (Docker / Singularity).
  • Exposure to single-cell and spatial transcriptomics data analysis.
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