Bioinformatics Scientist, Genomics & Data Science

Axle; Bethesda (MD); Presencial; USD 120.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid Time Off and Paid Holidays

401K match up to 5%

Educational Benefits for Career Growth

Employee Referral Bonus

Flexible Spending Accounts

Healthcare (FSA)

Parking Reimbursement Account (PRK)

Dependent Care Assistant Program (DCAP

Transportation Reimbursement Account (

Descripción de la vacante

Axle is seeking a highly ambitious Bioinformatics Scientist to join our NIH-based team in Bethesda, MD. The role focuses on bioinformatics, statistical design for high-throughput genome-scale data, and development of scalable pipelines to support NIAID DIR/RTB initiatives.

The candidate will contribute to somatic/germline variant analyses, single-cell and bulk expression work, and cross-institutional data dissemination. Strong scripting, cloud, and documentation skills are essential.

Formación

• 4+ years in bioinformatics with production pipelines.
• Expertise in Python or R and at least one other language.
• Experience with HPC/cloud and workflow frameworks.

Responsabilidades

• Address bioinformatics needs and design experiments for DIR/NIAID.
• Develop high-throughput data analysis pipelines and workflows.
• Support somatic/germline variant calling and RNA-seq analyses.
• Publish results and contribute to scientific publications.
• Collaborate with RTB and external institutes on data dissemination.

Conocimientos

Python

R

C/C++

Shell scripting

Bioinformatics

Data analysis

NGS analysis

Cloud computing

Educación

Bachelor’s degree in related field

Master’s or Ph.D. preferred

Herramientas

Docker

Snakemake

Nextflow

CWL/WDL

AWS/GCP/Azure

Git

Descripción del empleo

Axle is seeking a highly ambitious Bioinformatics Scientist to join our NIH-based team in Bethesda, MD. The role focuses on bioinformatics, statistical design for high-throughput genome-scale data, and development of scalable pipelines to support NIAID DIR/RTB initiatives.

The candidate will contribute to somatic/germline variant analyses, single-cell and bulk expression work, and cross-institutional data dissemination. Strong scripting, cloud, and documentation skills are essential.