Research Data Analyst 1

Psych-Core-Rsch

Full Time

80702BR

Job Summary

We are seeking a highly motivated Research Data Analyst to join our team focused on investigating sleep and cardiovascular risk factors for Alzheimer's Disease and Alzheimer's Disease-Related Dementias (AD/ADRD). This position will involve managing, analyzing, and interpreting a wide variety of research data, including data from longitudinal population-based studies, clinical polysomnography, and electronic health records. Experience with multi-cohort data analyses, data harmonization, and machine learning is not required but is highly desirable. The analyst will collaborate closely with our research team, helping to prepare presentations and manuscripts focused on the link between sleep, other modifiable risk factors, and risk of AD/ADRD.

The final salary and offer components are subject to additional approvals based on UC policy.

Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.

The salary range for this position is $61,200 - $77,700 (Annual Rate).

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

The Moon (sleep) Lab for Artificial Intelligence Technology (MoonLAIT) is led by Dr. Yue Leng, an Associate Professor in the Department of Psychiatry and Behavioral Sciences at UCSF. MoonLAIT is not just another research lab; it is where data, sleep science, and innovation come together to redefine our understanding of neurodegenerative diseases like Alzheimer's and Parkinson's. We explore the untapped frontiers of sleep research, employing big data and machine learning, and aim to be the trailblazers in early detection and intervention strategies for neurodegenerative diseases.

Please visit https://moonlait.ucsf.edu to learn more about our research.

Required Qualifications

• Bachelor's degree in related area and / or equivalent experience / training.
• Proficiency in statistical or coding software (e.g., R, Python).
• Demonstrable intrinsic curiosity, self-driven attitude, and the ability to be a fast learner.
• Exceptional communication skills.
• Excellent time management and organizational skills, with the ability to prioritize tasks efficiently.
• Ability to effectively manage time and see assigned parts of projects through to completion on deadline.
• Ability to work independently and collaborate within a team-oriented environment.

Preferred Qualifications

• Experience working with machine learning and/or artificial intelligence techniques.
• Prior research experience in sleep and neurodegenerative diseases.
• Data harmonization.

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.

Organization

Campus

Job Code and Payroll Title

006255 RSCH DATA ANL 1

Job Category

Professional (Non-Clinical), Professional and Managerial, Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

San Francisco, CA

Campus

Pritzker Psychiatry Building (SF)

Work Style

Fully On-Site

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Mon-Fri, 40 hours per week