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Sanford Health Senior Computational Medical Informatics Analyst | Imagenetics in Sioux Falls, South Dakota

Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States. We're proud to offer many development and advancement opportunities to our nearly 50,000 members of the Sanford Family who are dedicated to the work of health and healing across our broad footprint.

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Facility: Sanford Education Campus Building
Location: Sioux Falls, SD
Shift: Day
Job Schedule: Full time
Weekly Hours: 40.00

Job Summary

The Senior Computational Medical Informatics Analyst at Sanford, implements computational methodologies using data collected within the electronic medical record and directly from patients using patient portal. Integrates and mine large biomedical data sets, connecting data from disparate sources to identify insights and patterns using traditional as well as predictive and prescriptive analytics. Builds and maintains data platforms including extract, transform and load of large clinical and genetic datasets. Supports decision support, computational description of human phenotypes, the integration of genomic data into the electronic medical record, and the integration of phenome, genome and other omics data sets.

Responsible for contributing to the planning, implementation and support of information systems for the Imagenetics Initiative and Medical Genetics; this includes electronic consenting and a process management system integrated with the electronic medical record, medical genetics laboratory and specialty clinic operations. The information systems developed and overseen by this role, will be used to gather, generate, and track patient data and to develop medically actionable hypotheses including differential diagnoses.

Establishes data analysis plans for each project, project tracking, outcome monitoring, and manuscript generation. Understand biomedical informatics data formats, tools, and analytical approaches. Maintains experience with state-of-the-art biomedical informatics tools, standards and data repositories.

Writes standard operating procedures (SOPs) for clinical test and writes out valid documentation. Performs programming for analysis of data. Familiarity with security and privacy requirements applicable for working with patient data in a medical environment and in the development of appropriate ethically and legally compliant policies is desirable. Facilitates the integration of advanced technology, e.g. electronic medical record (EMR), laboratory information management systems (LIMS), Cloud analytics platform, with the healthcare service delivery.

Supports the medical informatics group at Sanford and its clinical and research obligations. Designs, develops and maintains data and software systems to store, analyze, and report health related data. Evaluates and maintains the quality of data collected for analysis. Documents system implementation.

Department Details

Sanford Imagenetics is a leading group in genomic medicine domain. You will have a chance to work on state of the art solutions to cutting edge problems in precision medicine and biomedical informatics, helping our patient population lead healthier lives. If you are passionate about big data, cloud computing and managing large data systems that integrate clinical and genetic data, this position will be a great experience for you. Prior experience with OMOP CDM and OHDSI ecosystem is highly desirable for this role.

Qualifications

Bachelor’s degree in computer science, data science, data engineering, biostatistics or a related field with at least one-year experience required. Master of science in a related field preferred.

Additionally, demonstrated experience in database/process management. Experience should include data management, process management,

Experience with electronic medical record (EMR), clinical data (e.g. ICD-10, SNOMED) and exchange standards (e.g. HL7) and interfaces and movement of data out of and into EMRs is strongly preferred.

Experience programing in at least one of Python, Perl, R, and Java languages is highly desirable. Experience with cloud computing environments (e.g. AWS) is highly desirable.

Experience with the integration and management of multiple data sources, workflows and enabling integrated management of and reporting on those data and processes through graphical user interfaces is desirable.

Preference will be given to individuals with expertise in database vitalization and medical and/or research informatics experience.

If applicant’s PhD requires licensure, certification or registration, this must be achieved or eligibility and timeline for achievement is agreed upon before hire.

Sanford is an EEO/AA Employer M/F/Disability/Vet.

If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-673-0854 or send an email to talent@sanfordhealth.org .

Job Function: Allied Health
Req Number: R-20025
Featured: Yes

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