354 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Department of Political Science" uni jobs at Nature Careers in United States
Sort by
Refine Your Search
-
pharmacology, or chemoprevention. We have a special interest in candidates focused on the development of novel agents for cancer-associated pain, a major unmet need and strength within the Department
-
Job Description The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical
-
. Knowledge of the principles of growth and development for all ages served. Ability to assess and interpret age specific data about the patient's status. Proven performance in earlier role. Licensure
-
. Opportunity to be a core part of a highly collegial, collaborative, dynamic team doing mission-driven fundamental research. Opportunities for professional development and growth. What you’ll do: Analyze and
-
recommendations, and integrate solutions. Lead the development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation, and usage and any hardware and
-
reviews work, gives positive and constructive feedback, and completes evaluations. Always coaches and supports the development efforts of each team member. Leverages knowledge of project management tools
-
for a physician who will provide strategic direction and business development with a strong vision to develop and grow the Fred Hutch Sarcoma Clinical Research Program. This leader will contribute to our
-
Compliance plays a vital part in safeguarding the integrity of our global collaborations and research. This position leads to the development, implementation, and oversight of international compliance programs
-
events, including the development of presentation materials and visual aids. Skills and Abilities: Understands the task at hand, seeks out information, and draws conclusions from available data to deliver
-
to model chronic disease outcomes progression and management, development of AI-based predictive models for genetic kidney diagnosis, study of genetic risk factors for melanoma, integration of AI-driven