Our Mission
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.
The Team
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 Opportunity
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.
What You'll Do
- Workflow Development: Develop data analysis workflows for spatiotemporal and multi-omics datasets.
- Data Visualization: Build visualization tools that enable exploration and interpretation of complex biological data across space and time.
- AI & Data Integration: Integrate proteomics, metabolomics, and related datasets, and explore machine learning or transfer learning approaches to support biological discovery.
- Cross-Functional Collaboration: Collaborate closely with experimental scientists, communicate findings clearly, and contribute to publications, presentations, and open-source software as appropriate.
What You'll Bring
Minimum Qualifications
- Education: PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering, or a related quantitative discipline.
- Core Experience: Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using an appropriate programming language.
- Domain Focus: 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.
- Track Record: A strong record of research productivity, including publications, open-source contributions, or both.
- Soft Skills: A collaborative mindset, strong communication skills, and enthusiasm for working closely with wet-lab teams.
Preferred Qualifications
- 1+ year of experience with imaging mass spectrometry (e.g., MALDI).
- 1+ year of experience with single-cell proteomics and/or metabolomics.
- 1+ year of experience building visualization tools or scientific software.
Compensation & Work Environment
Salary Range
The base pay range for a new hire in this Chicago, IL role is $130,000 - $163,000.
- New hires are typically started in the lower portion of the range to allow for growth over time.
- Actual placement is based on job-related skills and experience evaluated during the interview process.
- This position may be eligible to participate in our discretionary annual performance bonus program.
Hybrid Work Structure
To strengthen in-person connections and cultivate a 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). Specific in-office days are determined at the hiring manager's discretion.
Benefits for the Whole You
We offer a wide range of benefits to support the incredible people behind our work:
- Future Planning: Generous employer match on employee 401(k) contributions.
- Giving Back: Paid time off to volunteer at an organization of your choice.
- Family Support: Funding for select family-forming benefits.
- Mobility: Relocation support for employees who need assistance moving.
Our Application Philosophy: If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
