Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
The Research Computing Center and the Institute for Molecular Engineeringâ™s Center for Immunoengineering are looking for a highly motivated Computational Scientist to work closely with faculty and researchers at the University of Chicago. The successful candidate will play a key role in characterizing and engineering the immune system in health and disease by working with the Faculty labs at the Center for Immunoengineering. Emphasis will be to generate new biological insights by developing new approaches to analyzing large-scale and high-throughput data (e.g., next-generation sequencing, high-throughput screening) generated in the lab and in collaboration with researchers and clinicians at the University of Chicago and beyond.
Develop, apply, document, and maintain computational tools, both for own use and to support analysis by biologist colleagues without formal computational training. Critically evaluate computational solutions.
Develop customized computational solutions supporting new kinds of assays and experiments. Understand the analytical needs of new experiments, working closely with wet-lab experimental biologists.
Implement and optimize successful algorithms and methods to be shared for use by the broader community.
Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports as routine components of computational analysis pipelines.
Reports data to supervisor and team, attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals.
Maintain and organize computational infrastructure and resources.
Contribute to generation of protocols, publications, and intellectual property.
Other related tasks as required.
Ability to understand and translate researchers' scientific goals into computational requirements.
Ability to work well with faculty and researchers.
Ability to identify and gain expertise in appropriate new technologies and/or software tools.
Ability to function as part of an interactive team while demonstrating self-initiative to achieve project's goals and Research Computing Center's mission.
Strong analytical skills and problem-solving ability.
Education, Experience and Certifications:
PhD degree in computer science, computational biology, bioinformatics, quantitative science or related field required.
Must possess practical experience in data analysis, preferably in an independent project in an academic research laboratory setting.
Technical Knowledge or Skills:
Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java) required.
Background in statistics and machine learning preferred.
Knowledge of SLURM or other job scheduler, and/or bioinformatics tools preferred.
Excellent communication skills and the ability to interact professionally with all levels of staff and with external contacts in a fast-paced environment required.
Excellent organization and time management skills required.
Knowledge of biology or immunology is preferred. Inclination to acquire such knowledge is required.
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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Internal Number: JR04669
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