Argonne National Laboratory Bioinformatics Analyst in Lemont, Illinois
Applies machine learning techniques to research problems in the life sciences with an emphasis on using computational approaches for detecting sequence patterns in a variety of contexts including complex microbial community (metagenomic) datasets. Develops and applies computational models on new experimental data, provides 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 genomics data. Reports on results of research including publishing scholarly papers in scientific journals, giving presentations at conferences, meetings, and seminars. Participates in the preparation of reports and proposals required by funding agencies to obtain and continue funding support.
Education and Experience Requirements
Minimum bachelor’s degree in bioinformatics, computer science, or biology
Strong knowledge of machine learning and/or statistics required
Bioinformatics analysis techniques and tools (fluency in python or perl preferred)
Experience processing NGS sequence data
Understanding of computational algorithms to support DNA sequence alignment, small nucleotide polymorphism detection
Familiar with bacterial genomics (demonstrated work in microbiology preferred)
Familiarity with the Unix command line environment and controls
Strong analytical and problem-solving skills required
Ability to think independently and innovatively to develop exceptional technical solutions required
Good verbal and written communication skills required
Ability to write research reports and publications required
Organizational skills and attention to detail required
Ability to work independently and as part of a team required
Considerable collaborative skills, including the ability to interact well with external collaborators preferred
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
United States citizenship is a requirement
This role can be hired at one of two levels, and the requirements for each are as follows:
RD1: Bachelor’s degree or Master’s degree, or equivalent
RD2: Bachelor’s degree + 5 years of experience or a Master’s + 3 years of experience, or a PhD, or equivalent
Research Development (RD)
Computational Science 1
Long-Term (Fixed Term)
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