Postdoctoral Fellow

Institute for Systems Biology; Seattle (WA); On-site; USD 68,000 - 92,000; Full time

Job summary

The Institute for Systems Biology in Seattle, WA invites applications for a Postdoctoral Fellow to join the Hadlock Lab, focusing on explainable models for clinical decision support and disease mechanisms.

You will own biomedical informatics experiments, develop and validate machine learning and statistical processes, and work with collaborators on multimodal longitudinal genomic, phenomic and exposome data.

Qualifications

• PhD in a relevant field (see qualifications) with first authorship on a published paper.
• Expertise in developing and validating machine learning models on biomedical data.
• Experience with multimodal modeling for clinical decision support or disease mechanisms.

Responsibilities

• Own biomedical informatics experiments from design through first-authorship publications.
• Develop and validate machine learning and statistical processes for clinical decision support or disease insights.
• Conduct multimodal modeling on high-dimensional longitudinal data (genomic, phenomic, exposome).
• Collaborate on cross-institutional research projects with ISB and partners.

Skills

Biomedical informatics

Machine learning

Multimodal modeling

Communication

Collaborative skills

Education

PhD in Biomedical Informatics/Computational Biology/Data Science/AI

Job description

As an employee at the Institute for Systems Biology, you have a unique opportunity to engage in transformative research, from basic science to translational applications. ISB staff enjoy outstanding benefits, professional growth opportunities and unique resources in a collaborative interdisciplinary environment.

The Hadlock Lab at the Institute for Systems Biology (ISB) in Seattle, WA is seeking a Postdoctoral Fellow to join our multidisciplinary team. We focus on methods for accelerating the development and validation of explainable models for both clinical decision support and insights into mechanisms of disease. Our research includes developing models with multimodal longitudinal data from large prospective population studies (multiomics, imaging, and spatiotemporally-linked exposures), as well as retrospective clinical data (tabular and free text from electronic health records, imaging, and wave-form data). We aim to advance prevention of disease across the lifespan, and are currently conducting research on immune-related medical conditions, maternal-fetal health, and aging. Our team collaborates on NIH-funded research with computer scientists, mathematicians, physicians and biologists nationwide, acting as a catalyst for high-impact projects. We offer the data, tools, support and flexibility needed for a postdoctoral fellow to make rapid progress on novel research.

Responsibilities include:

• Owning biomedical informatics experiments, from initial design through first-authorship publications.
• Developing and validating machine learning and statistical processes to improve clinical decision support or for gaining insights into mechanisms of disease.
• Conducting multimodal modeling on high-dimensional longitudinal genomic, phenomic and exposome data.
• Participating on collaborative research projects with colleagues at ISB and nationwide.

Qualifications:

• Applicants should hold (or shortly be awarded) a PhD in Biomedical Informatics, Computational Biology, Information Science, Mathematics, Statistics, Data Science, Artificial Intelligence or a related field.
• First authorship on one published, peer-reviewed article
• Expertise in developing and validating machine learning models on biomedical data, from data preparation through validation.
• Experience with multimodal modeling for clinical decision support or for gaining insights into mechanisms of disease.
• Strong verbal and written communication
• Ability to collaborate effectively in an interdisciplinary environment

Preferred candidates will also have at one or more of the following:

• Experience with generative models
• Experience developing or validating new methods for modeling and analysis
• Insights into the temporal nature of disease and healthcare delivery: screening, diagnosis and treatment.
• Experience with integrating semantic knowledge from databases, trees, graphs, ontologies or free text

Applicants should include a CV, cover letter and two letters of recommendation.

https://isbscience.org/careers/postdoctoral-fellowships

This position is currently funded for one year, and will be renewable annually contingent upon funding and performance.

Benefits information: https://isbscience.org/careers/benefits/

Expected annual pay is $80,169

ISB is a D/V/EOE.