Spatiotemporal Multi-Omics Computational Biologist (Hybrid)

Biohub; Chicago (IL); Hybrid; USD 130,000 - 163,000; Full time

Benefits offered by this job

Generous employer match on 401(k) contributions

Paid time off for volunteering

Relocation support

Job summary

Biohub in Chicago is seeking an exceptional Computational Biologist for spatiotemporal multi-omics technology. Candidates should possess a PhD in bioinformatics or a related field and have experience in developing bioinformatic methods and analysis pipelines.

This hybrid position requires collaboration with experimental scientists and development of data workflows and visualization tools. The role offers a competitive salary and engaging work culture focused on innovation.

Qualifications

• PhD in bioinformatics, computer science, statistics, or a related quantitative discipline.
• Minimum 2 years of experience in developing bioinformatic methods or software tools.
• Minimum of 1 year of experience in spatial data analysis or multi-omics integration.

Responsibilities

• Develop data analysis workflows for spatiotemporal and multi-omics datasets.
• Build visualization tools for complex biological data.
• Integrate proteomics, metabolomics, and related datasets.

Skills

Bioinformatics methods development

Spatial data analysis

Machine learning for biological applications

Collaboration with wet-lab teams

Education

PhD in bioinformatics or related field

Tools

Programming languages (for bioinformatics)

Job description

Biohub in Chicago is seeking an exceptional Computational Biologist for spatiotemporal multi-omics technology. Candidates should possess a PhD in bioinformatics or a related field and have experience in developing bioinformatic methods and analysis pipelines.

This hybrid position requires collaboration with experimental scientists and development of data workflows and visualization tools. The role offers a competitive salary and engaging work culture focused on innovation.