Job Listing
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| Job ID: 14060259 |
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| Job Location: |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | Associate Data Scientist |
| Work Type: | Work Days: Work Vary: Yes , Shift: Other, Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | Unspecified. |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Bachelor's Degree |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see the job description for information about required job skills. |
| Preferred Skills: |
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| Job Description: |
Job ID361056
LocationTwin Cities
Job FamilyInformation Technology
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9702DS
Employee ClassAcad Prof and Admin
About the Job
Summary of Position
The Associate Data Scientist will work in parallel with a multi-disciplinary team that is dedicated to improving the data infrastructure for research within the M Health Fairview system.
The Data Scientist is passionate about data, the discovery of new knowledge, the process of research, and the implementation and evaluation of new practices into care. This role brings a blend of programming or data query skills, advanced mathematics or other computational skills, research experience and/or interest, and storytelling that helps to guide and inform the development and delivery of high-value services and content in an effort to achieve a decrease in the time it takes for the science to reach the patient and for discoveries to be made.
The ideal candidate will be somebody who understands clinical and/or research needs of the Pulmonary, Allergy, Critical Care and Sleep Medicine (PACCS) division, converts those needs to use-cases or analyses, gathers and cleans data as needed, performs analysis, and provides guidance on the evaluation and validation of the data and supporting process. The position will work closely with clinical researchers, informaticists, IT leaders, data experts, and clinical partners to plan, prototype, and build innovative data management, data processes, statistical models, application (e.g., health IT, virtual, or digital), and analytical solutions.
A successful candidate will be a person who enjoys diving deep into data, performing analyses, researching, building, and validating solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of clinical care, analytics, health IT, machine learning (ML)/artificial intelligence (AI).
Duties/Responsibilities
75%: Data Science and Research Implementation
Adept at understanding the research needs around analytics, converting that to research use case, gathering data for that use case and performing analytics using many technologies
Execute solutions to research problems using data analysis, data mining, forecasting, optimization tools, machine learning, and natural language processing techniques and statistics
Work closely with medical researchers, IT leaders, data experts and clinical partners to plan, prototype, and build innovative data management and analytical solutions
Develop a range of analyses from foundational statistical analysis to more advanced data science methods to drive valid and efficient practices with data analysis
Serve as an advocate in promoting a data-driven culture, working closely with researchers, leadership, and other data scientists/data analysts to facilitate data building, housing, cleaning, and analysis, in particular as it relates to the needs of the PACCS division
Work with inter-disciplinary teams including, CLHSS staff, faculty, and other IT professionals to take analytics work from ad hoc solutions to build into practice, as appropriate
15%: Maintenance and Administrative Support of Data
Develop and maintain supporting documentation related to programming
Provide quality assurance related to the storage and acquisition of new data
5%: Dissemination of Project Results and Findings
Document experiment findings and results with supporting statistics for peer review and publication
5%: Support Data Core of CLHSS
Support creation of analytical datasets to support observational research studies
Actively participate in program and center meetings and events
Help define and implement shared best practices and process flow across related CLHSS programs and partners
Other duties as assigned
Work Arrangements
This position follows UMN Work. With Flexibility guidelines. Currently, the position will be mostly working from home. There may be occasional needs to be on campus and over time there may be a need to set a regular schedule for a few days on campus each week. Work hours should follow a regular schedule between 7-5, M-F.
Salary range: $85,000-93,000
Qualifications
Required Qualifications
Bachelor's degree in a quantitative field such as statistics, computer science, data science, engineering or applied mathematics with at least two years of experience, or a master's degree
Experience utilizing analytical software such as SQL, R, Python, Stata, data mining, and predictive analytics.
Demonstrated ability to effectively communicate both verbally and in writing, to communicate ideas clearly and prepare scientific manuscript methods and results
Ability to function well in a fast-paced research environment, well organized, self-motivated to set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs
Work well in diverse teams, as well as independently, to partner effectively with multiple groups across several organizations
Demonstrated project management, organizational, analytical and interpersonal skills.
Preferred Qualifications
Advanced degree in a quantitative field such as statistics, computer science, engineering or applied mathematics.
Data science experience (data creation/development, wrangling, cleaning, predictive modeling, data science and analysis)
Experience in advanced analytics/statistics, predictive modeling, machine learning, data visualization
Experience utilizing data from Electronic Health Records and other administrative records.
Experience as part of a clinical research team.
Positive demeanor and the ability to find creative solutions and workarounds
About the Department
The Center for Learning Health System Sciences is a one-of-a-kind partnership between the Medical School and School of Public Health with a goal to decrease the time it takes for science to make it from the lab to the clinic in pursuit of better health outcomes for the patients we serve. CLHSS is composed of a core and five programs spanning the data-knowledge-practice LHS lifecycle including evidence synthesis, pragmatic trials, digital health, and data democratization and model development. CLHSS is committed to diversity, equity, and inclusion in its staffing, operations, and research. Learn more about the center by visiting:
Benefits
Working at the University
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.
The University also offers a comprehensive benefits package that includes:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan... For full info follow application link.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.
Refer to ID 79306272 when applying |
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