Assistant Computational Biologist

: We are seeking an experienced bioinformatician to join our team that develops and maintains a large web-based analysis resource for the infectious disease research community, such as the Bacterial and Viral Bioinformatics Resource Center (BV-BRC), for NIH and CDC funded projects. In this role, you will provide integrated access to genomic data, analysis services, and visualization tools to the public health research community focusing on bacterial and viral infectious diseases, including SARS-CoV-2. In this role you can expect to:

• Apply bioinformatics and machine learning techniques to research problems in the life sciences with an emphasis on using computational approaches for analyzing bioinformatics data and detecting sequence patterns in a variety of contexts, including bacterial and viral genomic and metagenomic datasets.
• Develop and apply computational models for experimental data, provide measures of uncertainty, and participates in interdisciplinary discussions aimed at the design of new experiments. (Problems typically involve the construction of computational models for phenotype and/or class prediction from genomic sequence data and other omics data).
• Report on results of research including publishing scholarly papers in scientific journals, giving presentations at conferences, meetings, and seminars, and participates in the preparation of reports and proposals required by funding agencies to obtain and continue funding support.

This position is located onsite at Argonne National Laboratory; 9700 S. Cass Ave., Lemont, IL Position Requirements

• Master's or PhD in in bioinformatics, computational biology, computer science, biology, or a similar field. Advanced degree preferred.
• Strong knowledge of bioinformatics analysis techniques and tools.
• Experience with NGS data analysis workflows, including genome assembly, annotation, sequence alignment, small nucleotide polymorphism detection, and transcriptomic analysis.
• Experience with bacterial and viral genomics, metagenomics, and comparative genomics analysis.
• Fluency in Perl or Python.
• Experience with building complex web application using Dojo or ReactJS.
• Experience with JavaScript based visualization frameworks, such as D3, cytoscape, or dojo.gfx
• Familiarity with the Unix command line environment and commands.
• Strong analytical and problem-solving skills.
• Ability to think independently and innovatively to develop exceptional technical solutions.
• Effective verbal and written communication skills.
• Ability to write research reports and publications.
• Good organizational skills and attention to detail.
• Ability to work independently and as part of a team.
• Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
• RD2: Masters degree and 3+ years of experience or a PhD and 0+ years of experience, or equivalent.

Preferred skills:

• Strong knowledge of machine learning and/or statistics is preferred.
• Considerable collaborative skills, including the ability to interact well with external collaborators.

Job Family Research Development (RD) Job Profile Software Engineering 2 Worker Type Regular 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.