Research Data Manager at Stanford University in STANFORD, California

Job Description:

Research Data Manager🔍School of Medicine, Stanford, California, United StatesNew📁Information Analytics📅2 days ago Post Date📅104244 Requisition #

The Stanford Department of Pediatrics, Division of Rheumatology is seeking a skilled, detail-oriented, motivated, and tech-savy Research Data Manager to join the Immune Behavioral Health/ PANS Research Team. The ideal candidate will be an enthusiastic, bright, and organized "do-er" and teamplayer. Successful candidates will perform complex technical work associated with Data collection, database management, data cleaning, and data integrity. This candidate will discover areas that would benefit from systematic/automatic processes to increase operational effectiveness and implement accurate and achievable solutions, ensure data collection accuracy, optimization, and integrity with the utilization/implementation of smart tools, dashboards, and workflows. They will create queries and devise plans to backfill missing data and conduct ongoing audits to ensure data reliability. The ideal incumbent will understand the big picture of our clinical research program, implement tools to achieve program goals, and fully appreciate downsteam effects of change. They will be a capable problem solver, confident decision maker, diligent change manager, and possess precise documentation skills.

Learn more about our team: https://med.stanford.edu/pans.html

Duties to include:

·Leah data collection processes/instrument design, implementation, ongoing audit

• Lead the implementation of data standards across lifecycle and common data elements for data collection- maintain detailed records; regularly report to PI and other team members.
  
  


• Maintain existing databases and develop guidelines to ensure data integrity.


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  Establish complex record-keeping methods for research studies, including cross-indexing by several factors as well as designing and revising forms needed for tracking and data analysis (e.g. REDCap or other research record system)- design and customize reports
  
  

·Work under consultative or self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Distribute and disseminate reports to applicable agencies, researchers/collaborators, management, and other internal end-users.

·Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques.Determine and recommend additional data collection and reporting requirements. Implement recommendations.

·Identify and eliminate redundenies and resolve data descripencies.

• Create non-routine databases and their related information summary; develop algorithms and statistical models; and perform statistical analyses/interpretation appropriate to complex data and reporting requirements (e.g. SPSS, SAS, R, etc.) to identify tends, risk factors, outcomes, etc.
  
  

·Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics.

• Develop new methods and tools to assist with data collection and analysis corresponding to different research projects


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  Work with data providers and/or investigators to discuss and clarify data ambiguities, inconsistencies, variables, etc., correcting current data as needed and providing action plans for long-term solutions of data collection and analysis
  
  

·Mentor and supervise junior staff, interns, students and/or other research teammembers on data-related projects, methods and issues

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  Incumbent should expect to be on-site in Palo Alto, CA
  
  

* - Other duties may also be assigned

Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. The pay range for this position working in the California Bay area is between $77,100 to $125,054 based on commensurate experience and background.

DESIRED QUALIFICATIONS:

• Advanced degree (Masters or PhD) in data science, statistics, epidemiology, computer science, mathematics, and/or medical/health related field


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  Clinical knowledge and/or experience


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  Experience designing and applying statistical methods, interpreting results of data
  
  


• Strong computer skills, experience with databases and analytic languages, and ability to quickly learn and master various computer programs (e.g. SAS, R, REDCap, Epic, etc.)
  
  


• Experience and/or willingness to mentor and manage junior staff, student researchers, and guide student/interns on projects/methods/manuscripts


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  Previous successful experience in project management and implementation
  
  


• Comprehensive understanding of scientific principles, especially regarding epidemiological studies, clinical research, and clinical trials.


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  Excellent organizational and communication skills


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  Demonstrated ability to complete detailed work accurately and on deadline
  
  

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

·In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.

·Expert ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases.

·Strong statistical ability.

·Strong listening, verbal and written communication skills.

·Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail.

·Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question.

·Ability to work with data of varying levels of quality and validity.

·Demonstrated ability to produce data in a clear and understandable manner meeting user requirements.

·Ability to work effectively with multiple internal and external stakeholders and knowledgeholders

·Ability to take a leadership role on projects and direct junior staff to effectively complete tasks

CERTIFICATIONS & LICENSES:

None

PHYSICAL REQUIREMENTS*:

·Constantly perform desk-based computer tasks.

·Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less.

·Occasionally write by hand, twist, bend, stoop and squat.

·Rarely stand, walk, reach or work above shoulders and use a telephone.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

May work extended hours during peak business cycles.

Additional WORKING CONDITIONS: incumbent should expect to be on-site in Palo Alto

~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels. ~

Additional Information

• Schedule: Full-time


• Job Code: 4752


• Employee Status: Regular


• Grade: I


• Department URL: http://pediatrics.stanford.edu/
  


• Requisition ID: 104244


• Work Arrangement : On Site

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