Assistant Specialist- Center Precision Medicine - Clancy Lab

Position: Assistant Specialist- Center for Precision Medicine - Clancy Lab

Position Overview

Salary range: $63,

Application Window

Open date: December 29, 2025
Next review date: Monday, Jan 19, 2026 at 11:59pm (Pacific Time)
Final date: Friday, Feb 6, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position Description

Dr. Colleen Clancy’s laboratory at the University of California, Davis School of Medicine seeks a full‑time Assistant Specialist to focus on the development and application of advanced AI/ML analytic tools and data‑driven strategies for research projects within the Department of Physiology and Membrane Biology and the Center for Precision Medicine and Data Sciences.

Responsibilities

Research in Specialized Areas (90% effort)

• Collaborate with research personnel on AI/ML projects such as Clinical Decision Support Systems, AI‑driven tools, chatbots, and large language models for healthcare.
• Plan and execute research projects, contribute to publications, author original research, present at conferences, and disseminate findings through workshops and technical sessions.
• Serve as a research coordinator for multidisciplinary projects, manage data workflows, facilitate communication between laboratories, and prepare comprehensive reports.

Professional Competence and Activity (5% effort)

• Actively participate in professional societies, review research proposals, journal manuscripts, and publications related to the applicant’s area of expertise.

University and Public Service (5% effort)

• Contribute to laboratory and group meetings, participate in department, school, campus, and university committees as appropriate.

Qualifications Basic Qualifications (required at time of application)

• Minimum of three (3) years of combined training and/or experience in AI/ML, biomedical data science, computational modeling, or health informatics.
• Demonstrated experience applying machine learning or advanced data analytics to research or applied research problems.
• Experience working with large‑scale datasets, including preprocessing, quality control, analysis, and documentation.
• Proficiency in at least one programming or analytical language used in AI/ML research (e.g., Python, R, Julia).
• Evidence of scholarly or research productivity, such as authorship or co‑authorship on peer‑reviewed publications, conference papers, technical reports, or presentations.
• Demonstrated ability to work independently and collaboratively in a multidisciplinary research environment and to communicate technical findings clearly in written and oral form.

Additional Qualifications (required at time of start)

• Assistant Specialist candidates must possess a Bachelor’s degree in Computer Science, Health Informatics, Data Science, Biomedical Engineering, Computational Biology, Applied Mathematics, Statistics, Electrical Engineering, or a related quantitative field, plus three (3) or more years of relevant research experience, OR a Master’s degree in one of the above fields or a closely related discipline. Degree must be completed by the start date.

Preferred Qualifications (not required)

• Master’s degree preferred in Computer Science, Data Science, Biomedical Engineering, Health Informatics, Computational Biology, Statistics, or a closely related field.
• Experience developing, implementing, or evaluating AI/ML methods in biomedical, healthcare, or precision medicine contexts, including predictive modeling, clinical decision support systems, or translational analytics.
• Familiarity with deep learning frameworks (e.g., PyTorch, Tensor Flow) and/or large language models (LLMs).
• Experience working with clinical, population health, genomic, imaging, or electronic health record data, including data standards, data governance, privacy, and reproducible research practices.
• Demonstrated experience coordinating or supporting collaborative, multi-investigator research projects, including management of data workflows and preparation of technical or scientific reports.
• Evidence of leading technical components of research projects or contributing substantively to grant‑funded research.
• Experience disseminating…