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Assistant Project Scientist-Grandi

Job in Davis, Yolo County, California, 95617, USA
Listing for: University of California - Davis
Full Time position
Listed on 2026-05-30
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 76700 - 97600 USD Yearly USD 76700.00 97600.00 YEAR
Job Description & How to Apply Below
Position: Assistant Project Scientist-Grandi 2026

Position Overview

The University of California, Davis, School of Medicine, Department of Pharmacology invites applications for a full‑time academic position in the "Assistant Project Scientist" series. The role focuses on computational research to define the signaling mechanisms underlying atrial fibrogenesis and atrial fibrillation.

Salary estimate: $76,700–$97,600.

Responsibilities
  • Develop and refine computational models of cardiac fibroblast and atrial signaling networks.
  • Integrate literature‑derived mechanisms with experimental and transcriptomic datasets.
  • Perform parameter estimation, model validation, predictive analyses, sensitivity analysis, clustering, and quantitative data integration.
  • Identify key regulatory nodes and pathways related to atrial fibrosis and arrhythmogenesis.
  • Prepare figures, analyses, and written summaries for manuscripts, presentations, and grant applications.
  • Design collaborative validation studies with experimental partners.
  • Pursue independent funding opportunities aligned with the research program.
  • Maintain scientific rigor, reproducibility, and laboratory safety standards.
  • Supervise graduate and undergraduate students and mentor them through research activities.
Qualifications
  • PhD in Computer Science, Computational Biology, Bioengineering, Biomedical Sciences, Physiology, or a related quantitative field.
  • At least 3 years of postdoctoral research with a strong record of scholarship in computational modeling of biological systems and cardiovascular disease mechanisms.
  • Expertise in ordinary differential equation–based network and signaling models, algorithm development, and quantitative analysis of complex biological systems.
  • Experience with quantitative analysis of biological data, including model fitting, validation, sensitivity analysis, clustering, and integration of transcriptomic or single‑cell datasets.
  • Demonstrated ability to design, plan, and execute independent research projects; proficiency in writing research papers and grant applications.
  • Strong communication and interpersonal skills and the ability to work independently and collaboratively.
EEO Statement

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Application Information

Application window is currently open. Submit a Cover Letter, Curriculum Vitae, Statement of Research, and Authorization to Release Information Form. For full instructions and  (Use the "Apply for this Job" box below)./JPF
07597. Contact: dicrunk.

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