Assistant Computational Biologist

Argonne National Laboratory

Lemont, IL

Job posting number: #7107209 (Ref:413881)

Posted: August 4, 2022

Application Deadline: Open Until Filled

Job Description

The Computational Biology Group within the Data Science and Learning Division participates in development of the KBase platform as well as projects studying chemistry occurring within microbiome systems. The DOE Systems Biology Knowledgebase (KBase) aims to provide a computational environment to meet the key challenges of systems biology: predicting and ultimately designing biological function. KBase enables secure sharing of data, tools, methods, and conclusions in a unified, extensible system that allows researchers to collaboratively generate, test, and share hypotheses about biological functions; perform large-scale analyses on scalable computing infrastructure; and combine multiple lines of evidence to accurately model plant and microbial physiology and community dynamics.

We seek someone to provide the following functions:

• Participate in development of new KBase scientific applications

• Development of dynamic metabolic models of microbiome systems

• Communication and coordination of new application, pipeline, and method development.

• Documentation of issues, procedures, and practices; publication of research

Position Requirements

Required Skills and Experience:

• Extensive experience with Python programming language

• Experience with web services (REST, JSON)

• Experience in metabolic modeling

• Experience in community metabolic modeling, particularly dynamic modeling

• Experience with Git/GitHub

• Ability to communicate well with people of diverse backgrounds and computer knowledge.

• Ability to work effectively as a member of a team.

• Flexibility in dealing with assignments and in working on several projects simultaneously.

Preferred Skills and Experience:

• Experience with iPython notebook/Jupyter frameworks

• Experience working in an academic or research environment

• Knowledge of computational biology

• Knowledge of microbiome omics data analysis

• Experience with cheminformatics and computational chemistry

• Experience with dynamic metabolic modeling of microbial communities

Job Family

Research Development (RD)

Job Profile

Computational Science 1

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

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Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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