Research Instructor

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  Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” from electronic medical records and insurance claims. 
  
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  Develop and implement probability and deterministically based de-duplication and record linkage algorithms to reconcile identity of individuals in heterogeneous electronic medical records and claims datasets.  
  
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  Use SAS, R and SQL code to clean, conduct quality control and develop structure datasets using common data elements for targeted analysis purposes.
  
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  Interact with multidisciplinary teams to identify data management questions and issues for analysis purposes.
  
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  Develop analytic plans to tackle complex statistical challenges, writing statistical programs, and preparing visual data displays in the form of tables, graphs, and maps.
  
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  Develop statistical code to convert unstructured, diverse “big data” from electronic medical records and insurance claims into Common Data Models such as OMOP or PEDSnet.
  
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  Communicate insights from findings in the form of scientific reports and manuscripts.
  

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  Advanced knowledge of relational databases, prior experience analyzing large electronic health record and/or insurance claims dataset.
  
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  Experience in a public health or clinical research environment, specific foundational knowledge of the science of population-level surveillance.
  
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  Experience with SAS and R programming
  
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  Experience with management and visualization tools (SQL, Python, Tableau).
  
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  Prior experience developing analytic proposals and conducting descriptive and hypothesis-driven analyses using statistical software.
  
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  Excellent scientific or technical writing skills. 
  
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  Excellent oral communication skills. 
  
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  Good organization skills and high attention to detail. 
  

Minimum Qualifications

• Master’s degree in epidemiology, biostatistics, statistics, data science, healthcare informatics, computer science or a recognized field which is directly related to the duties of this position.
• At least two years of experience working data management or analysis.
• Expertise with SQL, R and/or SAS.

Applicants must meet minimum qualifications at the time of hire.

Conditions of Employment:

• The University of Colorado has issued a requirement for COVID-19 vaccinations and full completion thereof by September 1, 2021, or upon start date.
• Position requires Colorado residency; work is typically performed in person on location at the University of Colorado Anschutz Medical Campus. During the ongoing COVID-19 pandemic, this position may work remotely in Colorado up to 2 days per week at the discretion of the supervisor, LEAD Director, and CSPH Dean 3 months after their initial training has been completed in person.
• Employee must be eligible to work in the United States. The LEAD Center does not support visa applications.

Preferred Qualifications

• Preferred 3-5 years of experience working in an academic research environment, public health entity, healthcare company or managed care environment with a focus on analyzing large healthcare datasets.
• Knowledge of healthcare industry coding (ICD classifications, CPT codes etc.).
• Demonstrated expertise in SQL, SAS, R, Python, Tableau and other statistical, data management and data visualization languages/syntaxes.
• Prior experience developing analytic proposals and conducting descriptive and hypothesis-driven analyses using statistical software
• Demonstrated strong scientific or technical writing skills.
• Must be a critical thinker who can successfully troubleshoot and solve problems by working collaboratively. 
• Ability to communicate clearly about complex data topics, verbally and in writing.
• Demonstrated ability to develop, apply and document data management methods.
• Experience with MS Access.

Applicants must meet minimum qualifications at the time of hire.