TL;DR

Scientist II, Bioinformatics (Genomics): Developing and applying long-read sequencing methods and building bioinformatic software and pipelines for cancer research and human genomics. Focus on large-scale genomic workflows, interpreting diverse datasets, and collaborating with external partners.

Location: Hybrid (onsite Monday-Thursday, Friday work from home). Candidates must have current authorization to work in the United States without the need for present or future sponsorship.

Salary: $128,800.00 – $193,200.00

Company

%hirify_global% is a premier life science technology company that designs, develops, and manufactures advanced sequencing solutions to help scientists and clinical researchers resolve genetically complex problems and better human health.

What you will do

Build reliable, well-tested bioinformatic software and end-to-end analysis pipelines.
Apply bioinformatic tools to answer biological questions related to human health, including cancer and rare disease.
Collaborate with external partners in both academia and industry, supporting and leading projects.
Benchmark and evaluate bioinformatic methods.
Communicate scientific findings through oral and written formats, including papers, posters, and talks at national and international scientific conferences.

Requirements

Ph.D. in a computational or biological field (e.g., bioinformatics, genetics, genomics, computer science).
Strong programming skills in Rust, Python, or C++.
Proficiency in analyzing large-scale sequencing datasets (e.g., genomics, transcriptomics, epigenomics, genome assemblies).
Foundational understanding of cancer genetics, human genomics, or RNA biology, with interest in developing deep expertise.
Basic statistical skills for analyzing large datasets, including visualization, modeling, and quality control.
Track record of scientific publishing, including first-author manuscripts.
Excellent interpersonal, written, and verbal communication skills.
Current authorization to work in the United States without the need for present or future sponsorship.

Nice to have

Experience working within large scientific consortia and collaborating closely with both wet-lab and computational teams.
Demonstrated ability to develop and maintain analysis pipelines using WDL or Snakemake.
Experience building and deploying containerized software (e.g., Docker or Singularity).
Familiarity with modern software development practices.

Culture & Benefits

Hybrid work schedule (Monday-Thursday onsite, Friday work from home for non-field based roles).
Opportunity to contribute to a scientific mission in genomics to better human health.
Commitment to equal opportunity employment for all qualified applicants.
Support for individuals with disabilities requiring reasonable accommodation.