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Argonne National Laboratory Data Scientist - Life Sciences in United States

In this exciting area of research, you will be applying machine learning techniques to problems in the life sciences with an emphasis on using computational approaches for detecting patterns in a variety of contexts including cancer, brain injury, infectious disease and microbial community datasets. Problems typically involve the construction of computational models for phenotype prediction from data that includes genomic data and other omics data. This role will develop and apply computational models on new experimental data, provide measures of uncertainty, and participate in interdisciplinary discussions aimed at the design of new experiments. You will report on results of research including publishing scholarly papers in scientific journals, give presentations at symposia, conferences, meetings, and seminars. You will also participate in the preparation of reports and proposals required by funding agencies to obtain and continue funding support.

We are seeking outstanding people to join us in the Data Science and Learning Division and the Bioscience Division at all career levels. As a multidisciplinary national laboratory, Argonne offers an exciting campus atmosphere in which to collaborate on interdisciplinary projects developing solutions to complex scientific and engineering problems on the world’s largest parallel supercomputers.

Please note, this is an “Evergreen” job posting which is used to build a pool of candidates for anticipated critical positions within the division. We do not interview or hire from an evergreen posting; however, you may be invited by a Talent Acquisition Specialist to apply to a specific job posting in the near future.

Position Requirements

  • Minimum bachelor’s degree in Bioinformatics, CS, or Biology

  • Fluency in scientific programming languages

  • Experience with bioinformatics analysis techniques and tools

  • Familiarity working in a Unix environment

  • Experience on high performance computing platforms and newer GPU systems

  • Experience processing NGS sequence data, familiarity with bacterial genomics, or demonstrated work in microbiology

  • Knowledge of artificial intelligence across machine learning, deep learning and statistics

  • Strong analytical and problem-solving skills

  • Understanding of computational algorithms to support DNA sequence alignment, small nucleotide polymorphism detection, gene expression quantification and/or small molecule (drug) structure

  • Ability to write research publications

  • Considerable collaborative skills, including the ability to interact well with external and internal collaborators

  • United States citizenship is a requirement on some projects

  • Ability to think independently and innovatively to develop exceptional technical solutions required

Job Family

Research Development (RD)

Job Profile

Computer Science 1

Worker Type


Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other 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.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.