Computational Biologist

Biohub

$130K — $163K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in bioinformatics, computer science, statistics, computational biology, biomedical engineering, or a related quantitative discipline.
  • Minimum 2 years of experience developing bioinformatic methods or analysis pipelines for biological data.
  • At least 1 year of experience in spatial data analysis, multi-omics integration, or machine learning for biological applications.
  • Strong record of research productivity, including publications or open-source contributions.
  • Collaborative mindset with strong communication skills, enthusiastic about working with wet-lab teams.

Responsibilities

  • Develop data analysis workflows for spatiotemporal and multi-omics datasets.
  • Build visualization tools for exploring complex biological data over time and space.
  • Integrate proteomics, metabolomics, and related datasets into analyzable formats.
  • Explore machine learning approaches to enhance biological discovery.
  • Collaborate with experimental scientists and communicate findings effectively to various audiences.

Benefits

  • Generous employer match on employee 401(k) contributions for future planning.
  • Paid time off to volunteer at an organization of choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees needing assistance with moving.
Full Job Description
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
  • 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.
What You'll Bring
  • 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.
Compensation

The Chicago, IL base pay range for a new hire in this role is $130,000 - $163,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
Better Together

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.
Benefits for the Whole You

We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

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.

#LI-Onsite

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