Data Management Specialist
Data Management Specialist
Job Number: 78209
The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University. The mission of the QSU is to facilitate cutting-edge scientific studies initiated by Stanford investigators by providing expertise in biostatics and informatics, to mentor and educate clinical investigators in research methods and to mentor data scientists. To optimally achieve this mission, the QSU members become fully integrated into individual research teams.
The QSU is seeking a highly motivated, hard-working and professional Data Management Specialist to join their team. The successful candidate will join a vibrant team of academic data scientists working on a wide variety of collaborative projects in medicine. Under minimal supervision, the incumbent will perform the most complex technical work associated with a wide variety of analytical data and produce routine, single data sources' information requests. The incumbent will work closely with senior statisticians to interrogate databases for the purpose of creating analytic files, performing quality control and data cleaning, managing data and doing data analysis under supervision of a statistician. This position holds excellent career development opportunities.
- 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, 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
- Design and customize reports based upon data in the database
- Create non-routine databases and their related information summary; develop algorithms and statistical model; and perform statistical analyses appropriate to complex data and reporting requirements
- Serve as a resource for non-routine inquiries such as requests for statistics or surveys
- Lead the implementation of data standards and common data elements for data collection
- Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics
- May test prototype software and participate in approval and release process for new software
- Create data dictionaries and libraries that document how data are housed
- Work directly with investigators and independently decide which analytical methods will be applied
- Apply statistical models to the data to summarize data according to analysis plans
- Advanced degree/Master's Degree in Applied Math, Biostatistics, Statistics or related field
- At least two years of experience collaborating with biostatisticians and clinical investigators on studies
- Experience with programming languages such as SQL or Python for database manipulation
- Familiarity with statistical packages like SAS and R
- Experience collaborating under minimal supervision in a team environment on data-related issues for clinical studies
- Ability to communicate technical information to all audiences
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
- Basic 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 customers
- Ability to take a leadership role on projects and with users/clients
- 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 squa
- 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.
May work extended hours during peak business cycles.
WORK STANDARDS (from JDL)
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
Job: Information Analytics
Location: School of Medicine
To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.