ObGyn-MFM-Core-MFM
Full Time
77670BR
Job Summary
Note: This is a 1 year contract.
Under the direction of the Principal Investigator and co-investigators, the Data Manager will provide data management and analytic expertise for a study to compare the effectiveness of two different models of enhanced prenatal care available to low-income (Medicaid-eligible) women in Fresno County: “Glow! Group Prenatal Care and Support” (Glow!/GC) and the California Department of Public Health’s Comprehensive Perinatal Services Program with individual prenatal care (CPSP/IC). The study will be carried out in partnership between the California Preterm Birth Initiative at UCSF and the Central Valley Health Policy Institute at California
State University, Fresno. Specifically, we will compare preterm birth rates, changes in depressive and anxiety symptom severity, and perception of respectful care and satisfaction with prenatal care. Clinical practices primarily serving low-income, racially/ethnically diverse patients will be randomly assigned to one of two recruitment tracks which will alternate between recruitment for Glow!/GC and recruitment for CPSP/IC. Led by Principal Investigator Miriam Kuppermann, this position is part of a multidisciplinary research team that oversees all data management and analyses. The California State University Fresno team will be responsible for patient
recruitment and data collection activities in Fresno.
This position requires an employee with excellent communication and organizational skills. Job responsibilities will include developing data collection instruments and protocols, designing and executing study databases, preparing datasets for specific analytic activities, training study personnel, managing data collection from collaborating sites, creating automated error checking systems and data reports for review by study personnel and investigators, and coordinating error resolution. The Data Manager will extract and clean datasets; plan and execute statistical analysis using their own judgment and experience with guidance from the study statistician; prepare data for presentation; prepare summary reports, charts, tables, and figures; and contribute to publications and presentations. They may also assist with statistical analysis for other research studies led by the Principal Investigator.
The final salary and offer components are subject to additional approvals based on UC policy.
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 (https://tcs.ucop.edu/non-academic-titles)
Please note: 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
The Department of Obstetrics, Gynecology and Reproductive Sciences (Ob, Gyn & RS) is a major academic Department in the School of Medicine, engaged in clinical, research and training activities at the Parnassus, Mt. Zion and Zuckerberg San Francisco General Hospital campuses, the new Betty Irene Moore Women’s Hospital at Mission Bay, as well as satellite locations throughout the Bay Area, with an annual operating budget of $149 million. The Department has 100 full-time faculty, 117 other academic appointees, 13 post-doctoral fellows, 20 clinical fellows, 32 residents, 138 voluntary clinical faculty and 270 staff.
The mission of the Department of Obstetrics, Gynecology & Reproductive Sciences is to improve the lives and health of all women through excellence, innovation and leadership in patient care, scientific discovery, education, advocacy, and diversity, equity and inclusion. We are committed to providing quality health care services; educating health care providers and investigators; and conducting research to advance knowledge in our field. Please take a look at some of our important and innovative work.
Required Qualifications
- Bachelor's degree in related area and / or equivalent experience / training
- 3-5 years of professional experience which can include data analysis, data management, research project management
- Minimum 3+ years of related experience
- Experience with data cleaning and data quality control
- Experience in data analyses using a variety of statistical modeling techniques, including linear, logistic and Poisson regression model
- 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
- Proficient Skills in project management
- Research skills at a level to evaluate alternate solutions and develop recommendations
- Knowledge of study database creation and management using REDCap or another similar database software
- Demonstrated proficiency with statistical software packages (SAS, STATA, and/or R). SAS proficiency preferred
- Ability to provide custom-designed and automated reports and graphical presentation of data
- Ability to work both independently and as part of a diverse team
- Ability to set priorities, meet deadlines, and manage multiple tasks simultaneously
- Strong interpersonal and organizational skills
- Expertise in Microsoft Word, PowerPoint, and Excel
- Ability to import, export, merge and create final analytic data sets
Preferred Qualifications
- Familiarity with medical terminology and epidemiologic research in the areas of perinataland maternal and child health
- Understanding of HIPAA and Institutional Review Board approval process
- Experience with UCSF policies and procedures and research administration, including UCSF
- IRB, MyResearch,Qualtrics, and REDCap
- Familiarity with the framework of health equity and reproductive justice
- Ability to accurately create summary variables from a variety of psychological scales
- Appropriately handle missing data
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)
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