TheDepartmentofAnesthesiology,PerioperativeandPainMedicine,atStanfordUniversity’sSchoolofMedicine,isaworld-leading department that offers comprehensive training and perioperative patient care, pain management, and critical care medicine as well as cutting edge research, encompassing a wide spectrum of programs in basic, translational, clinical, health services and medical education.

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 AnalystIpositionisafull-timepositionandacommitmentofatleasttwoyearsisrequired.TheDataAnalystIwillbeworkingona 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 howdifferent 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 MATLABandbecompetentusingtheLinuxoperatingsystem.TheyshouldholdatleastBachelor’sDegreeinElectricalEngineering, BiomedicalEngineering,ComputerScience,Biostatistics,ComputationalNeuroscienceorrelatedfields.Theyshouldhaveinterestin 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 innovationinhealthcare.Whetherworkingindepartmentswithfaculty,orinunitsthatsupporttheschool,ourstaffarea partof teams that propel us on our journey toward the future of medicine and Precision Health.

Supportingthatmissionisastaffofmorethan10,000,whichisrootedinacultureofexcellenceandvaluesinnovation,collaboration, andlife-longlearning.Tofosterthetalentsandaspirationsofourstaff,Stanfordofferscareerdevelopmentprograms,competitivepay 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.

SchoolofMedicine,andtheDepartmentofAnesthesiaarecommittedtodiversity,equity,andinclusionforitsfaculty,staff,residents, and postdocs, and fellows. We aim to recruit, support, retain, and promote diversity in our department.

Formoreinformationonourdepartment,pleaseseeourwebsite:https://med.stanford.edu/anesthesia.html

Dutiesinclude:

• Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information(reports,charts,graphsandtables)fromstructureddatasourcesbyqueryingdatarepositoriesandgeneratingthe associated information.
• Designmethodstovalidatedatatoensurehighqualityproduct.Explorecreativeapproachtousingdatabasedontechnical expertiseofavailabledata.Distributereportstoapplicableagencies,researchers,managementandotherinternalend-users and provide interpretation of data when needed.
• Developandproducedashboards,keyperformanceindicators,andotherrecognizedmetricsusedtomonitorandreport organizational performance. Collect and analyze metric data.
• Collect,manageandcleandatasetsusinganextractionandreportingprogramminglanguagetoensuredataintegrity.
• Researchandreconciledatadiscrepanciesoccurringamongvariousinformationsystemsandreports.
• Collaboratewithdatamanagerstodefineandimplementdatastandardsandcommondataelementsfordatacollection.
• Identifynewsourcesofdataandmethodstoimprovedatacollection,analysisandreporting.
• Maytestprototypesoftwareandparticipateinapprovalandreleaseprocessfornewsoftware.

*-Otherdutiesmayalsobeassigned