The Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University is seeking a Data Analyst 1 to be under general direction, process a wide variety of analytical data and produce routine, single data sources’ information requests. This Data Analyst I position is a full-time position and a commitment of at least two years is required. The Data Analyst I will be working on a team to help us understand how anesthesia and critical care and brain health influences patient outcomes. The position will involve data analytic components as well as experiences in the clinical environment to understand how different aspects of clinical care may relate to patient outcomes.
The Data Analyst I should have experience with computer programming and data analysis languages such as SQL, R, Python, and/or MATLAB and be competent using the Linux operating system. They should hold at least Bachelor’s Degree in Electrical Engineering, Biomedical Engineering, Computer Science, Biostatistics, Computational Neuroscience or related fields. They should have interest in machine learning, clinical and biomedical research, neuroscience, and medicine. The Data Analyst I will work under the supervision of Postdoctoral Fellows to apply novel methods for signal processing and machine learning analysis of EEG data, for clinical and basic neuroscience applications. The Data Analyst I will also work under the supervision of Postdoctoral Fellows to use statistical models to understand the relationships between brain health and patient outcomes. The Data Analyst I must be able to work effectively on a team, as well as independently. The Data Analyst I must demonstrate strong attention to detail, organizational skills and time management. Further, the Data Analyst I must possess excellent communication and interpersonal skills.
At Stanford University School of Medicine, the work we do touches the lives of those today and tomorrow. Through education, research, and health care, the School of Medicine improves health through leadership, diversity, collaborative discoveries, and innovation in health care. Whether working in departments with faculty, or in units that support the school, our staff are a part of teams that propel us on our journey toward the future of medicine and Precision Health.
Supporting that mission is a staff of more than 10,000, which is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our staff, Stanford offers career development programs, competitive pay that reflects market trends, and benefits that increase financial stability and promote healthy, fulfilling lives. An award-winning employer, Stanford offers an exceptional setting for professionals looking to advance their careers.
School of Medicine, and the Department of Anesthesia are committed to diversity, equity, and inclusion for its faculty, staff, residents, and postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department.
For more information on our department, please see our website: https://med.stanford.edu/anesthesia.html
Duties include:
- Identify and select usable data from subtle and complex data patterns. 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.
- Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.
- Develop and produce dashboards, key performance indicators, and other recognized metrics used to monitor and report organizational performance. Collect and analyze metric data.
- Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.
- Research and reconcile data discrepancies occurring among various information systems and reports.
- Collaborate with data managers to define and implement data standards and common data elements for data collection.
- Identify new sources of data and methods to improve data collection, analysis and reporting.
- May test prototype software and participate in approval and release process for new software.
*Other duties may also be assigned
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
- 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 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.
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.
WORK STANDARDS:
- 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.
