We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results

Data Analyst

University of Minnesota
life insurance, paid holidays
United States, Minnesota, Minneapolis
319 15th Avenue Southeast (Show on map)
Nov 07, 2024
Apply for Job
Job ID
365452
Location
All Other -See Job Description
Job Family
Information Technology
Full/Part Time
Full-Time
Regular/Temporary
Regular
Job Code
9702BI
Employee Class
Acad Prof and Admin
Add to Favorite Jobs
Email this Job
About the Job

About the Position

The Center for Learning Health System Sciences (CLHSS) seeks a full-time data analyst with experience in biostatistics to join its data core. CLHSS is composed of a core and six programs spanning the data-knowledge-practice LHS lifecycle including evidence synthesis, implementation and evaluation science, pragmatic trials, digital health, and data democratization and model development. This position will report to the Data Analytics Manager.

Our mission is to facilitate a pathway for investigators to pursue data-centric research that improves healthcare quality and delivery. This position will primarily consist of EHR data retrieval, collation of data sources, statistical analysis, and SQL database management. The successful candidate will be involved in supporting a variety of multidisciplinary projects with varying complexity and requirements and will work in both individual and team environments. They will also be involved in collaboration with researchers and PIs during intake meetings, follow-ups, and check-ins related to cohorting and analysis to ensure project deliverables are timely and complete, doing so by working closely with the Data Core Technical Project Manager, the Data Programs Manager, and the Data Analytics Manager. They will also mentor associate data analysts on cohorting projects.

Our ideal candidate has experience in biostatistics, strong quantitative analytical skills, and a demonstrated ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy.

Duties/Responsibilities

50% Data analysis & management

  • Analyzes data collected from data abstraction using R, SQL, Python, and/or STATA.
  • Assisting in management & utilization of LHS datamart databases.
  • Conducts analysis such as regression analysis, propensity matching analysis, and creates solutions for missing data.
  • Synthesizes data in easily readable formats and prepares graphs, charts, tables and reports of data.
  • Derives theoretical basis for data and fits data to theory and analysis of error.
  • Maintains annotated, reproducible documentation of codes.
  • Identifies new analytical methods and models to drive insight into health outcomes and quality improvement.

45% Data cleaning and data wrangling

  • Conducts entry-level data retrieval and data transfers to aid in building a dataset requested by our research investigators.
  • Keeps detailed records of data abstractions.
  • Executes data abstractions using methods created by data analysts, Data Analytics Manager, or novel methods developed as needed.
  • Independently creates and plans data cohorts based on the investigator's data request form, researching the relevant literature, meeting with the investigatory team and collaboration with the senior biostatistics data analyst.
  • Reviews literature relating to specific research projects.
  • Confers with Data Analytics Manager & Data Programs Manager on division of labor and plans for execution of more complex data requests.
  • Mentoring associate data analysts.

5% Manuscript writing

  • Assists in writing methods and results sections for manuscript and grant submissions.\

Work Arrangements:

This position follows UMN Work. With Flexibility. guidelines. Currently, the position will be primarily 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.

Qualifications

Required Qualifications:

  • BA/BS degree and at least 2 years of relevant experience or a masters degree
  • Proficient with regression analysis, propensity matching analysis, and solutions for missing data.
  • Proven experience in statistical analysis, data management, and handling large datasets
  • Proficient with Electronic Health Records (EHR) data and experience in working with clinical datasets.
  • Proficiency in statistical programming languages such as R, STATA, and/or SAS.
  • At least 2 years of relevant experience & proficient ability with database management systems (e.g. SQL, programming, query optimization, debugging code, knowledge of MS SQL Server)
  • Ability to work independently with minimal supervision and as part of a team, with a proactive and solution-oriented mindset.
  • Strong attention to detail, critical thinking skills, and the ability to troubleshoot complex problems.
  • Excellent organizational skills with the ability to manage multiple projects and deadlines in a fast-paced environment.
  • Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.

Preferred Qualifications:

  • 4+ years' experience and/or coursework in information technology, statistics, healthcare or management including database management.
  • MPH, MS, or related graduate degree.
  • Experience with ETL processes, machine learning, or predictive analytics.
  • Publication experience in peer-reviewed journals.
  • Ability to function effectively in a complex organizational environment and ability to successfully relate and interact with diverse groups of people.
  • Experience working in an academic environment.
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: med.umn.edu/clhss

Pay and Benefits

Pay Range: $67,000-80,000; depending on education/qualifications/experience

Time Appointment: 75%-100% Appointment

Position Type: Faculty and P&A Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University 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 Regents Tuition Benefit Program
  • 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 Forgiveness (PSLF) opportunity
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area
How To Apply

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity

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

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About the U of M

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).

Applied = 0

(web-69c66cf95d-nlr4c)