HIV Genomics Bioinformatician & Pipeline Scientist

Axle

Oregon

Hybrid

USD 105,000 - 130,000

Full time

13 days ago

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Benefits offered by this job

Medical coverage for employees
Paid time off and holidays
401K match up to 5%
Educational benefits
Referral bonus
Flexible Spending Accounts

Job summary

Axle, a bioscience and information technology company, is seeking a Bioinformatics Scientist to support HIV research within the NIAID DIR/IDSS. You will analyze genomic and clinical data, develop production pipelines, and contribute to scalable tools that empower NIH investigators.

You should have strong skills in sequencing analysis, scripting, and data interpretation, with 4+ years in bioinformatics. A bachelor’s degree is required; advanced degrees are preferred.

Qualifications

  • Bachelor's degree in a related field; master's or PhD preferred.
  • 4+ years of experience in bioinformatics and production pipelines.
  • Expert-level proficiency in Python or R and at least one of C/C++, sh/bash.
  • Experience with NGS data analyses (RNA-seq, WGS, ChIP-seq) and single-cell data.
  • Ability to obtain a Public Trust clearance.

Responsibilities

  • Provide bioinformatics analysis for HIV-related datasets.
  • Develop and maintain high-throughput data pipelines.
  • Offer programming support to disseminate research data.
  • Collaborate with researchers and publication teams.
  • Contribute to scalable resources for NIH investigators.

Skills

Statistical modeling
Scripting
Biological interpretation
Pipeline development
Collaboration

Education

Bachelor's degree in related field
Master's or PhD preferred

Tools

Docker
Nextflow
Snakemake
CWL/WDL
AWS / Cloud

Job description

Axle, a bioscience and information technology company, is seeking a Bioinformatics Scientist to support HIV research within the NIAID DIR/IDSS. You will analyze genomic and clinical data, develop production pipelines, and contribute to scalable tools that empower NIH investigators.

You should have strong skills in sequencing analysis, scripting, and data interpretation, with 4+ years in bioinformatics. A bachelor’s degree is required; advanced degrees are preferred.

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