DATA MANAGER

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The Division of Metabolism, Endocrinology and Nutrition (MET) has an outstanding opportunity for a Data Manager to join their team.

POSITION PURPOSE

Position Purpose: The Division of Metabolism, Endocrinology and Nutrition (MET) has an outstanding opportunity for a part-time (50% FTE) Data Manager to join Dr. Laura Pyle and Dr. Petter Bjornstad's collaborative medical research team. Housed within the University of Washington Medicine Diabetes Institute at the South Lake Union campus, the Pyle laboratory applies translational data science to bridge complex biostatistics and bioinformatics findings into medical insights. The Bjornstad and Pyle laboratories focus on metabolic and hemodynamic mechanisms underlying the development of diabetic kidney disease (DKD) and cardiovascular disease (CVD) in Type 1 (T1D) and Type 2 (T2D) diabetes and obesity.

Position Complexities: This position requires expertise in data management, regulatory compliance, and cross-institutional collaboration.

Position Dimensions and Impact to the University: The successful candidate will oversee data collection, quality assurance, and database management across multiple clinical and translational research studies while ensuring adherence to regulatory and institutional guidelines.

DUTIES AND RESPONSIBILITIES

Data Management 40%

Collaborate with and support Principal Investigators (PI) and other stakeholders in data management in a scientifically rigorous manner

Creatively and effectively integrate data from multiple sources to accelerate discoveries

Maintain compliance with Google Cloud Platform guidelines, HIPAA requirements, etc.

Prepare and update data management documentation including data dictionaries, training manuals and SOPs

Independently and creatively identify bioinformatic and data management solutions

Participate in study team meetings and provide data management expertise for protocol development

Ensure data integrity through validation checks and audit trail maintenance

Manage database user access, permissions, and security protocols

Perform database locks, data exports, and dataset preparation for statistical analysis

Troubleshoot technical issues and coordinate with IT support as needed

Maintain backup procedures and disaster recovery protocols

Data Quality Assurance 40%

Establish data validation rules and quality control procedures

Perform regular data reviews, identify discrepancies, and coordinate resolution with study teams

Generate and distribute data quality reports to study teams

Assist Team Leads, Supervisors and/or management with creation and implementation of processes and procedures and quality improvement initiatives

Assist and train team members in data entry, database navigation, and data quality standards

Assist with identifying issues related to operational efficiency and share results with leadership

Data Summarization and Reporting 20%

Develop and disseminate a variety of tools designed to access relevant clinical and sample data

Write custom scripts to access databases

Write custom web tools for PIs and other stakeholders

Perform basic data analysis including descriptive statistics, tabulations, and visualizations

Assist with the development of bioinformatics-related programming projects

MINIMUM REQUIREMENTS

Bachelor's Degree in Computer Science, Information Systems, Biostatistics, Bioinformatics, Computational Biology, Genetics/Genomics, Data Science, Systems Biology or a related field

and

2 years in academic or pharmaceutical research settings (or equivalent experience).

Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.

ADDITIONAL REQUIREMENTS

Ability to analyze and solve complex problems and apply quantitative analytical approaches

Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary

Experience with Linux operating systems, high performance computing

Proficiency with REDCap

Familiarity with statistical analytical concepts and methods

Ability to communicate effectively, both in writing and orally

Ability to establish and maintain effective working relationships with employees at all levels throughout the institution

Outstanding customer service skills

Demonstrated commitment and leadership ability to advance diversity and inclusion

Knowledge of basic human anatomy, physiology medical terminology

Ability to interpret and master complex research protocol information

Ability to handle multiple projects simultaneously within rigorous timelines

Potential to work independently with minimal supervision and in a team atmosphere

DESIRED QUALIFICATIONS

Master's degree in Computer Science, Biostatistics, Bioinformatics, Computational Biology, Genetics/Genomics, Data Science, Systems Biology or a related field (or equivalent experience)

Experience with EPIC EHR software

Application Process: The application process may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select "Apply to this position". Once you begin an assessment, it must be completed at that time; if you do not complete the assessment, you will be prompted to do so the next time you access your "My Jobs" page. If you select to take it later, it will appear on your "My Jobs" page to take when you are access ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.

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Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.

The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

To request disability accommodation in the application process, contact the Disability Services Office at or

Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.