DiabCtr-ITN

Full Time

78524BR

Job Summary

The RDM will work with multiple complex computerized systems to manage data from numerous sources, oversee data standards, collaborate on data quality improvement, and assimilate data into analytic datasets. The individual must possess the knowledge and analytic skill, as well as understanding of databases and data management techniques to set-up study databases, merge datasets, create and design evaluation processes, write reports and translational documents; perform quality assurance and operational redesign; and provide technical documentation and analytic expertise to address data inquiries and work directly with a variety of ITN and non-ITN staff to coordinate data management initiatives.

The RDM is responsible for instituting data cleaning activities and managing the timeline for data review and analysis. This requires an in-depth understanding of the various methodologies and strategies involved with highly complex quantitative and qualitative data analysis and the ability to interpret sophisticated data sets.

The RDM must be able to prioritize work in line with organizational decisions and timelines. Decisions made by the RDM have the potential to have significant long-lasting operational and fiscal ramifications for projects, network collaborations, the ITN, and the University. Errors, oversights, or lack of planning at this level may result in loss of funding to the ITN, University and other collaborating academic institutions. Mistakes can result in critical delays and increased costs which can jeopardize the project.

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 Immune Tolerance Network (ITN) is a National Institutes of Health funded international consortium to facilitate the advancement of clinical trials at all phases to determine the safety, toxicity and efficacy of promising tolerogenic strategies in islet, kidney and liver transplantation, autoimmune diseases and allergy & asthma. The ITN develops and conducts collaborative research projects between academic, governmental and industry researchers which are based on cutting edge immune tolerance research that could not otherwise be conducted. Projects overarch all phases of research and development, are complex (novel assessments/ interventions), include many stakeholders, and require multiple- sub-contracts which comprise multi-million dollar budgets for a single project. The ITN CTG acts as a fully functioning Clinical Research Organization (CRO) and is centrally responsible for the development, implementation, and management of all research projects conducted by the ITN. The CTG supports scientific, technical, operational, and administrative functions, including project development, project management, regulatory support, implementation, oversight, and data analysis for the network.

Required Qualifications

• Bachelor's degree in computer sciences, social sciences with statistical training, or related field equivalent combination of education and experience
• Minimum 3+ years of related experience
• Excellent technical skills are required, both in data management and analysis; and a high degree of proficiency with MS Access and MS Excel is needed to manage database creation and data cleaning chores, and for conducting analyses
• Experience providing database management on research datasets
• Proficiency with T- SQL, SQL Server Reporting services (SSRS) and Microsoft Report Builder.
• Knowledge of regulatory guidelines and Directives involving human subject research and data security policies and procedures.
• Excellent oral and written communication including the ability to clearly communicate in English, both orally and in writing.
• Proven ability to extract data from relational databases using SQL
• Experience leading data quality improvement activities
• Ability to operate independently with minimal guidance in the areas of immediate responsibility. The ability to exercise sound timely judgment and take relevant responsible action as required, with considerable attention to detail and accuracy.
• Ability to interact effectively with a wide range of team members, including clinical officers, scientists, laboratory managers, research coordinators and assistants, and IT members.
• Demonstrated ability to work on multiple projects with competing deadlines
• Excellent analytical skills, Able to review and synthesize and interpret complex data.
• Exceptional problem solving skills and independent learning capacity
• At least two (2) years data management and/or related work experience in an academic or pharmaceutical setting.
• High degree of proficiency with MS Excel and Access
• Proficiency with T- SQL, SQL Server Reporting services (SSRS) and Microsoft Report Builder.
• Working knowledge of Good Clinical Practices, Human Subjects Protections, clinical trial process and related regulatory requirements and terminology.
• Demonstrated ability to set and keep timelines, and coordinate large numbers of people or projects across different locations.
• Strong organization, analytical, critical, and innovative problem solving skills; demonstrated ability to conduct analyses and develop recommendations.
• Experience working effectively via telecommunication with external constituents and sites, without disruption to flow of work, and using established, approved, and secure communication procedures.
• Expert proficiency of MS Office Suite (Word, Excel, PowerPoint, Visio, Endnote, Outlook)
• Significant experience in planning, implementing, tracking, and managing complex multi-center clinical trials.
• Demonstrated ability to direct others within a matrix environment.

Preferred Qualifications

• Proficiency with SAS
• Knowledge and experience in the creation of Microsoft Access databases, and entry forms.
• More than two (2) years experience working on Phase 1-IV research studies within the academic or pharmaceutical industry.
• Applicable knowledge working with other clinical databases such as Oracle Clinical, SAS, and others

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

007199 DATA SYS ANL 3

Job Category

Clinical Systems / IT Professionals

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Flexible (combination of onsite and remote work), Mission Bay (SF)

Shift

Days

Shift Length

8 Hours

Additional Shift Details

9am - 5pm