Data Manager Analyst

University of California, San Francisco; San Francisco (CA); On-site; USD 90,000 - 160,000; Full time

Job summary

An established institution in healthcare seeks a Data Manager Analyst to lead the development and management of data systems. In this pivotal role, you will ensure the integrity and accessibility of critical data while collaborating with diverse teams. Your expertise in data management and analysis will contribute to groundbreaking research in neurology and aging. This position offers an exciting opportunity to be at the forefront of innovative healthcare solutions, where your contributions will have a lasting impact on patient care and scientific discovery. Join a dynamic team dedicated to advancing health worldwide.

Qualifications

• 5 years of experience in related fields.
• Proven modeling and information design skills.
• Advanced knowledge of data management systems.

Responsibilities

• Plan, design, and implement data-based systems.
• Ensure integrity and completeness of data and workflow.
• Design systems and data products focusing on data curation.

Skills

Data Management

Data Analysis

Information Design

Statistical Software (e.g., R)

Problem-Solving

Education

Bachelor's degree in related area

Doctorate in educational measurement or related field

Tools

GitHub

Open-source statistical software (e.g., R)

Job description

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Job Summary

Involves technical acumen for planning, designing, developing, implementing and administering data-based systems that acquire, prepare, store and provide access to data and metadata. Maintains and optimizes systems and migrates data and systems as needed. Ensures integrity and completeness of data and workflow, manages and / or develops data practices, databases and information systems as well as guidelines, dictionaries, registries and / or services. May include interpretation of scientific research data artifacts as well as mediation across science and technology domains and long-term data care. As information architect and data steward, designs systems, data products and / or data production processes while focusing on data curation, data exchange, data security, data integrity and information environments. (Re)evaluates frameworks, strategies, standards and standards-making activities. May involve work with a project-level data repository, a center or an archive.

Neuro-Memory and Aging

Full Time

84660BR

Job Summary

Involves technical acumen for planning, designing, developing, implementing and administering data-based systems that acquire, prepare, store and provide access to data and metadata. Maintains and optimizes systems and migrates data and systems as needed. Ensures integrity and completeness of data and workflow, manages and / or develops data practices, databases and information systems as well as guidelines, dictionaries, registries and / or services. May include interpretation of scientific research data artifacts as well as mediation across science and technology domains and long-term data care. As information architect and data steward, designs systems, data products and / or data production processes while focusing on data curation, data exchange, data security, data integrity and information environments. (Re)evaluates frameworks, strategies, standards and standards-making activities. May involve work with a project-level data repository, a center or an archive.

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 $90,000-$160,000 (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 Memory and Aging Center (MAC) is a clinical research unit within the UCSF Department of Neurology that investigates the clinical (neurological, cognitive, behavioral, neuroanatomic) characteristics of various neurodegenerative diseases. The Primary Investigator’s (PI) research within the MAC focuses on the decision-making processes in patients with frontotemporal dementia (FTD), Alzheimer's Disease (AD), primary progressive aphasia (PPA), and other neurodegenerative disorders. The Multitudes Project is part of the Memory and Aging Center (MAC) is the largest division within the Department of Neurology with a diverse workforce of over 260 employees. The Department of Neurology is a teaching, research and clinical care unit within the School of Medicine (SOM). The Department of Neurology is a large, multi-site department, with locations including Mission Bay, Parnassus, Mt. Zion, ZSFG, VAMC and the Gladstone Institutes, and is affiliated with the UCSF Weill Institute for Neurosciences. The department is constructed of 14 administrative divisions with 11 clinical specialties. The department has over 230 faculty and academic employees, 290 staff positions, and 170 trainees including: residents, clinical fellows and postdoctoral scholars.

The Department has an annual operating budget in excess of $120M and has been the #1 recipient of NIH funding across all U.S. Departments of Neurology for the past 6 consecutive years, in addition to being the #1 recipient of philanthropic dollars across all departments at UCSF.

Our department’s mission includes delivering the most exceptional clinical care to our patients, leading transformative cutting-edge research, and training the leaders of tomorrow in both neurology and neuroscience. Our department’s faculty, trainees, and staff work at a university and in a community that values and embraces diversity and strives to make an impact worldwide through our global and public health effort s.

Required Qualifications

• Bachelor's degree in related area and / or equivalent experience / training.
• 5 years of experience in the related fields.
• Applicants must possess either a doctorate (or near completion) in educational measurement, psychometrics, industrial/organizational psychology, or a closely related field
• Proven modeling and information design skills.
• Familiarity with highly complex logical data design and data mapping or data conversion.
• Advanced knowledge of data management systems, practices and standards.
• Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated service orientation skills.
• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.
• Self-motivated and works independently and as part of a team. Strong organizational skills.
• Demonstrated advanced problem-solving skills. Able to learn effectively and meet deadlines.
• Advanced analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems.
• Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail.
• Conduct psychometric analyses in support of a testing program
• Ability to analyze and research applied measurement problems, and, to propose solutions to those problems
• Understanding of concepts central to psychometrics: classical test theory, equating, and item response theory
• Experience using open-source statistical analysis software (e.g., R) and version control (e.g. GitHub)
• Good presentation, organizational, problem-solving, communication and customer service skills with attention to details and deadlines
  
  

Preferred Qualifications

• Ability to prepare and understand and model complex knowledge-intensive processes such as scholarly and research processes.
• Experience in data integration and the specification of data services.
• Good negotiation and influencing skills.
• Familiarity with highly complex data quality and governance issues and requirements.
• Thorough knowledge of relevant rules and regulations.
  
  

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 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Organization

Campus

Job Code and Payroll Title

000599 DATA SYS ANL 4

Job Category

Clinical Systems / IT Professionals, Professional (Non-Clinical)

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

San Francisco, CA

Campus

China Basin (SF)

Work Style

Fully On-Site

Shift

Days

Shift Length

8 Hours

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Higher Education

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