Neuro-Memory and Aging

Full Time

73947BR

Job Summary

The Research Analyst uses skills as a seasoned, experienced research professional with a full understanding of in-depth statistical analyses and/or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
The analyst will participate on a multi-disciplinary research team focused on preparing for clinical trials in neurodegenerative disorders by validating endpoints and modeling disease progression. This position will have a particular focus on cognitive, language, motor, and passive (e.g., GPS) data collected using a smartphone application in patients with frontotemporal dementia (FTD) and Alzheimer’s disease (AD). The data analyst will help to build a queryable database that integrates with existing data systems and conduct statistical analyses.

The analyst will participate on a multi-disciplinary research team focused on preparing for clinical trials in neurodegenerative disorders by validating endpoints and modeling disease progression. This role will have a particular focus on managing and analyzing cognitive, language, motor, and passive (e.g., GPS, actigraphy) data collected using a smartphone application in patients with frontotemporal dementia (FTD) and Alzheimer’s disease (AD). The data analyst will also have the opportunity to delve into multimodal data that includes additional cognitive testing, neuroimaging, and fluid biomarkers. Job functions involve gathering, analyzing, and interpreting a wide variety of research data, which may include maintaining and extending the capabilities of an existing database and data management pipeline, generating datasets and reports, writing and troubleshooting R code, analyzing collected information, preparing reports, charts, tables, and other visual aids to interpret and communicate data and results.

To see the salary range for this position (we recommend that you make a note of the job code and use that to look up):TCS Non-Academic Titles Search (ucop.edu)

Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.

For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.

To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Department Description

Throughout the Department of Neurology at UCSF, our mission is to deliver superb patient care, to apply state-of-the-art translational research methods to discover the causes of and treatments for human nervous system disorders, and to educate each generation of medical students, neurology residents and postdoctoral fellows. By fostering cross-disciplinary interactions among scientists around the world, we accelerate the pace of discovery and champion the University's global health initiatives.

Required Qualifications

Thorough knowledge of research function. Thorough skills associated with statistical analysis and systems programming. Thorough skills in analysis and consultation. Skills to communicate complex information in a clear and concise manner both verbally and in writing. Skills in project management. Research skills at a level to evaluate alternate solutions and develop recommendations.

Preferred Qualifications

• Bachelor's degree in related area and minimum three years of experience / or equivalent experience / training.
• Thorough knowledge of research function.
• Thorough skills associated with statistical analysis and systems programming
• Thorough skills in analysis and consultation
• Skills to communicate complex information in a clear and concise manner both verbally and in writing
• Research skills at a level to evaluate alternate solutions and develop recommendations.
  

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Job Code and Payroll Title

006257 RSCH DATA ANL 3

Job Category

Professional (Non-Clinical), Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Location

Hybrid, Mission Bay (SF)

Additional Shift Details

M-F 9am-5pm