Faculty (Assistant, Associate, Or Full Professor)

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.

Application Instructions: Interested applicants should apply on ISB's Careers page

https://isbscience.org/careers/. Required materials include curriculum vitae, a 1-2-page

cover letter, a 3-4-page research statement, and a 1-page statement on mentoring

philosophy.

Benefits: https://isbscience.org/careers/benefit-summary/

ISB is a D/V/EOE employer .