Assistant Computational Biologist

About the job

We are seeking an experienced bioinformatician to join our team developing and maintaining large-scale, web-based bioinformatics resources for the infectious disease and public health research communities, including BV-BRC and MAAGE. These NIH- and CDC-funded resources provide integrated access to genomic and metagenomic data, analysis services, and visualization tools supporting infectious disease research, genomic surveillance, and outbreak investigation. This position is located at Argonne National Laboratory.

The successful candidate will develop, implement, validate, and maintain computational methods and scalable analysis workflows for bacterial, viral, and metagenomic data. Areas of emphasis include comparative and population genomics, genomic epidemiology, metagenomics, sequence analysis, pathogen characterization, and structural bioinformatics, with applications to infectious disease research, antimicrobial resistance, public health surveillance, and outbreak investigation.

The candidate will work with interdisciplinary teams to evaluate and integrate new computational approaches, analyze and interpret complex biological datasets, and translate scientific requirements into accessible and robust analysis capabilities for the research community. The candidate will also contribute to education and outreach through the development of tutorials, documentation, webinars, and hands-on workshops. Additional responsibilities include contributing to scientific publications, conference presentations, project reports, and funding proposals.

• Position Requirements
• Required Qualifications
• Master’s degree in bioinformatics, computational biology, biology, computer science, or a related field.
• Strong knowledge of bioinformatics methods and genomic and metagenomic data analysis.
• Experience developing computational workflows for next-generation sequencing and other biological data.
• Proficiency in Python and/or Perl, with strong experience in Unix/Linux environments.
• Familiarity with JavaScript, Node.js/Express, REST APIs, JSON/RPC, Apache Solr, and web-based scientific applications.
• Experience integrating bioinformatics tools, data resources, APIs, and computational pipelines.
• Strong analytical, problem-solving, organizational, and scientific communication skills.
• Ability to work independently and collaboratively with multidisciplinary teams.
• Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

• Preferred Qualifications
• PhD in bioinformatics, computational biology, biology, computer science, or a related field.
• Experience in bacterial or viral genomics, comparative genomics, genomic epidemiology, metagenomics, and/or structural bioinformatics.
• Experience developing and maintaining production bioinformatics analysis services.
• Experience with containerized and distributed computational environments and integration of command-line scientific software.
• Knowledge of statistical or machine-learning approaches for biological data analysis.
• Experience developing scientific documentation and training materials and conducting workshops or webinars.
• Experience contributing to scientific publications, presentations, technical reports, and research proposals.

Job Family
Research Development (RD)

Job Profile
Computational Science 2

Worker Type
Regular

Time Type
Full time

The expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

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