Faculty (Assistant, Associate, or Full Professor)

Isbscience; Seattle, Northern (WA, KY); Hybrid; USD 155,000 - 300,000; Full time

Benefits offered by this job

Collaborative environment

Access to clinical trials

Interdisciplinary collaboration

Job summary

The Institute for Systems Biology (ISB) in Seattle seeks a dynamic Assistant, Associate, or Full Professor to lead AI, machine learning, and computational biology efforts bridging basic science and medicine.

Ph.D. or equivalent with a record of independent, transformative research is required; applicants should plan to secure funding from NIH/NSF and philanthropies and mentor students at all levels.

Qualifications

• Ph.D. or equivalent with a strong publication record.
• Ability to conduct independent, transformative research.
• Vision bridging computational innovation with translational applications.

Responsibilities

• Establish and lead a research program in computational biology and data science.
• Develop frameworks to integrate multimodal biological and clinical data.
• Secure external funding from federal and philanthropic sources.
• Mentor students and postdocs and collaborate with ISB teams.
• Contribute to ISB's research and educational mission.

Skills

Computational biology

Machine learning

Artificial intelligence

Statistics

Deep learning

Biomedical research

Education

Ph.D.

Tools

Genomics tools

Bioinformatics tools

Biostatistics software

Job description

The Institute for Systems Biology (ISB) seeks a highly motivated and talented Assistant, Associate, or Full Professor to join our faculty and lead transformative efforts in AI, machine learning, and computational biology to bridge the gap between basic science and next-generation medicine. The successful candidate will have a strong background in computational biology, statistics, machine learning/AI or a related field, and a passion for applying these techniques to address complex biological or medical problems.

Biomedical research pioneer Dr. Leroy Hood founded ISB in 2000 as the first-of-its-kind institute dedicated to systems biology. Unlike traditional academic departments, our faculty are cross-disciplinary, which enables us to take on big, complex problems. ISB is deeply committed to sharing our knowledge with society: we participate in the formation of companies, and strategically collaborate with healthcare systems and industry to improve human health and accelerate science.

ISB’s computational capabilities are in biological modeling and simulation, machine learning, biostatistical methods, bioinformatics, medical informatics, applied to: genomics, phenomics and exposomics. ISB's technical capacities include genomics, transcriptomics, metagenomics, proteomics, metabolomics, imaging, and single-cell omics. Accordingly, ISB faculty develop novel measurement technologies, formal theories and computational tools to support all aspects of systems biology and systems medicine, and these unique resources are shared across the institute. ISB’s affiliation with Providence, one of the largest not-for-profit health care systems in the United States, gives ISB access to unique resources including clinical trials, patient samples, 30 million electronic health records (EHRs), imaging, and the ability to translate discoveries into clinical applications that benefit patients.

Qualifications

Candidates should have a Ph.D. or equivalent and have demonstrated the ability or potential to conduct independent, transformative research, and have a strong publication record to attract external research funding. The candidate should have a compelling research vision and a program that bridges computational innovation with translational applications, a plan for fundraising from federal (NIH, NSF, etc.) and other sources (philanthropy, foundations, etc.), and a mentoring plan for postdocs and students at all levels.

Responsibilities

• Establish and maintain a research program in applied mathematics, statistics, computer science or data science to investigate fundamental biological processes and their relevance to human health.
• Pioneer innovative computational frameworks to integrate multimodal biological and clinical data, such as genomics, proteomics, phenomics, or specialized domains, such as deep immunophenotyping, imaging, health dynamics, and spatiotemporalomics data that can drive new scientific paradigms or personalized medicine with actionable insights for patient care.
• Develop and apply innovative methods to integrate data-driven and knowledge-based approaches for discovery of mechanisms and clinical decision support.
• Collaborate with other researchers within the institute, external partners to translate computational discoveries into real-world applications in health care, from prevention to detection to treatment of diseases.
• Secure external funding to support research activities and expand the scope of the research program.
• Mentor graduate students, postdoctoral fellows, and undergraduate students.
• Contribute to ISB's research and educational mission.

Expected Salary

Compensation for this role will be based on skills, experience, and rank upon hire in the expected range of $155,000 to $300,000 per year.

ISB is a D/V/EOE employer .