Bioinformatics Scientist – HIV-SOMAL

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Bioinformatics ScientistData & AI

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Quick Summary

Key Responsibilities

Next-generation sequencing analysis (whole-exome, whole-genome, RNA-seq, ChIP-seq, using both long- and short-read technologies) Statistical modeling Scripting Biological interpretation Required

Requirements Summary

Python, R, C/C++, sh/bash. Containerization. Experience building images using

Technical Tools

Bioinformatics ScientistData & AI

(ID: 2026-3884)

What We Offer

~3 min read

✓100% Medical, Dental & Vision Coverage for Employees

✓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 (TRN)

✓Scientific consultation. Address the bioinformatics, scientific computing, and data analysis needs of users within the NIAID Division of Intramural Research and their collaborators, providing expertise in the statistical design of biological experiments involving high-throughput genome-scale technologies, data mining and knowledge discovery techniques, automated workflow development, and experimental design consultation.

✓Bioinformatics support. Provide support spanning somatic and germline variant calling and analysis, single-cell and bulk gene expression analysis, de novo assembly of genomes and transcriptomes, comparative genomics of model and non-model organisms, proteomics, ChIP-seq, and ATAC-seq, including development of high-throughput pipelines for these data modalities.

✓Programming support. Provide programming and troubleshooting support to the Research Technologies Branch and collaborating Institutes in the dissemination of research data.

✓Data analysis. Perform computational data analysis on genomic and clinical research data, and provide statistical support and analysis on research data.

✓Collaboration. Work with staff on scientific programming and experimental design.

✓Publication. Contribute to and co-author scientific publications in leading peer-reviewed journals.

✓Resource development. Contribute to the development of a scalable and flexible resource providing next-generation sequencing bioinformatics, structural and computational biology, and machine learning data support to NIAID scientists and investigators.

✓Next-generation sequencing analysis (whole-exome, whole-genome, RNA-seq, ChIP-seq, using both long- and short-read technologies)

✓Statistical modeling

✓Scripting

✓Biological interpretation

✓Clearance. Ability to obtain and maintain a Public Trust security clearance.

✓Education. Minimum of a bachelor’s degree in a related field; master’s degree or doctorate preferred.

✓Experience. Four or more years of experience in bioinformatics, including two or more years developing and maintaining production bioinformatics pipelines.

✓Programming languages. Expert-level proficiency in two of the following: Python, R, C/C++, sh/bash.

✓Containerization. Experience building images using one of the following: Docker, Podman, Singularity/Apptainer.

✓Pipeline frameworks. Expert-level proficiency in one pipeline framework: Snakemake, Nextflow, or CWL/WDL.

✓Documentation. Demonstrated expertise building technical and user documentation for tools, pipelines, and applications.

✓Infrastructure. Experience building pipelines on-premises using available high-performance computing infrastructure.

✓Experience supporting HIV research, including the analysis of HIV sequence data — for example viral genome assembly, phylogenetic and quasi-species analysis, drug-resistance profiling, or characterization of the latent reservoir.

✓Familiarity with HIV and infectious disease data resources and host–pathogen study designs, including integration of viral sequence data with host genomic, transcriptomic, or immunologic datasets.

✓Experience building pipelines or applications in the cloud using AWS, GCP, or Azure.

✓Experience building applications using one of the following frameworks: Django, Flask, RShiny, Electron, Flutter, or React.

✓Experience working in a laboratory setting.

What experience do you have working with large datasets and compute clusters?
Describe your experience of building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
What programing languages are you comfortable using for bioinformatics data analysis?
What are the bioinformatics areas you are familiar with? E.g. Single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.
What life science disciplines do you have experience in? E.g. Immunology, infectious disease, cancer research, etc.
Provide examples of basic concepts in machine learning/AI and/or applying them in bioinformatics data analysis?
Have you worked with organoid data sets in the past and if so, please explain the experience you have.
Have you worked with HIV data sets in the past and if so, please explain the experience you have.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

Salary Range

$105,000—$130,000 USD