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The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.
Our Vision
We pursue large scientific challenges that cannot be pursued in conventional environments
We enable individual investigators to pursue their riskiest and most innovative ideas
The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.
The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform.
Develop data analysis workflows for spatiotemporal and multi-omics datasets.
Build visualization tools that enable exploration and interpretation of complex biological data across space and time.
Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer learning approaches to support biological discovery.
Collaborate closely with experimental scientists, communicate findings clearly, and contribute to publications, presentations, and open-source software as appropriate.
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PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering or a related quantitative discipline.
Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using appropriate programming language.
Minimum of 1 year of experience in at least one of the following areas: spatial data analysis, multi-omics integration, or machine learning for biological applications.
A strong record of research productivity, including publications, open-source contributions, or both.
A collaborative mindset, strong communication skills, and enthusiasm for working closely with wet-lab teams.
(Preferred)
1+ year of experience with imaging mass spec (e.g., MALDI)
1+ year of experience with single-cell proteomics and/or metabolomics
1+ year of experience building visualization tools, or scientific software.
As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
Verified company details for this employer are not available yet.
USD 130000-163000 yearly / year
Full-time
Mid · 2+ years experience
Hybrid
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