Research Data Analyst/Programmer (Open Rank: Senior, Lead, Manager)

University of Maryland • Baltimore, MD

7d • $65,070 - $104,000 • Hybrid

About The Position

The University of Maryland School of Medicine, Department of Epidemiology & Public Health is hiring a Research Data Analyst/Programmer in the Division of Maternal and Child Health. Under general supervision, the analyst/programmer will extract and analyze clinical and claims data to support research studies and proposal development for the division and its collaborators. The Department’s mission is to advance public health by investigating the causes, treatment, and prevention of human health problems. The incumbent will work in close collaboration with faculty, staff, postdoctoral fellows, and data analysts/programmers. The ideal candidate will have programming experience in languages such as Python, SQL, or R, along with experience analyzing and working with and an interest in healthcare data and research.
This role is responsible for querying, managing, and extracting data from large clinical data repositories while designing and developing scalable data architectures and analytic frameworks to support large-scale data processing and analysis. The position ensures that analytics infrastructure and related systems meet business requirements and industry best practices by implementing procedures and protocols to monitor, analyze, and validate data integrity. Responsibilities include gathering and transforming raw data from multiple disparate sources through scripting, API integrations, and SQL queries to prepare data for analysis. The role also supports the development of big data, batch, and real-time analytical processing solutions using emerging technologies. Additionally, the individual identifies process workflows and quality assurance/control measures to effectively monitor and manage project schedules, scope, and budgets. Collaboration with other programmers is essential to maintain and manage cohorts, data extraction processes, and related code repositories.
This position will be filled either by a Senior, Lead, or Manager based upon the selected candidate's qualifications, experience, and skill level.

Requirements

• Bachelor's degree in Information Management, Social Science, Public Policy, Mathematics, Statistics, Health Science or Services or in a field of study related to the research
• Two (2) years related experience in a research environment required.
• Experience in SAS, STATA, SPSS, and/or Excel preferred
• Bachelor's degree in Sociology, Psychology, Political Science, Economics, Public Policy, Public Administration, Information Management, Social Science, Mathematics, Statistics, Health Science, or in a field of study related to the research.
• Master's degree in Epidemiology, Sociology, Public Policy, Public Administration, or field of study related to research preferred.
• Three (3) years of related experience in a research environment including two (2) years in the relevant research specialization.
• Bachelor's degree in Data Science, Public Policy, Sociology, Public Administration, Economics, Statistics, Epidemiology, Information Systems, Applied Math, Business Administration, or any other related field.
• Six (6) years of experience involving research data analysis with at least three (3) years of relevant research specialization.
• Experience in the use and application of SAS, STATA, and/or R is preferred.
• One (1) year work coordination.
• Proficiency with Python, SQL, R, or similar programming languages and statistical tools.
• Experience using ICD-9, ICD-10, and CPT codes.
• Demonstrated experience working with large-scale datasets, preferably healthcare claims data such as Medicare or other insurance databases.
• Demonstrated accuracy and attention to detail.
• Strong skills in documentation and process descriptions.
• Strong problem-solving and analytical skills.
• Proven ability to work independently and in a team environment, with a sense of ownership and accountability.

Nice To Haves

• Experience in SAS, STATA, SPSS, and/or Excel preferred
• Master's degree in Epidemiology, Sociology, Public Policy, Public Administration, or field of study related to research preferred.
• Experience in the use and application of SAS, STATA, and/or R is preferred.

Responsibilities

• Responsible for conducting advanced analysis and support for research programs in order to promote a culture of assessment and evidence based decision making.
• Compile and interpret research data; establish and maintain databases, develop quality assurance; and provide final interpretations to others.
• Independently conduct research assignments that include a variety of complex features such as conflicting design requirements and difficult coordination requirements.
• Design and conduct quantitative research projects, analyze findings, develop conclusions, develop and write reports, prepare presentations of relevant findings and conclusions, and recommends appropriate actions.
• Develop and perform effective methods of data collection and assessment.
• May receive, inventory, enter, and organize collected data.
• Develop methods and tools to ensure validity and accuracy of data and compliance with quality control requirements.
• Establish and maintain database files, perform required data extraction through programming and report on progress of programs, studies, and/or projects.
• Perform sophisticated data searches and exchanges among micro, mini, and mainframe-based statistical software applications to generate standard and customized reports using statistical applications.
• Act in a lead role in the summation and preparation of manuscripts, presentations, and proposals by providing and presenting statistical information in the forms of tables, charts, or graphs.
• Review work of support staff and determines how analysis will be presented.
• Communicate with provide updates regarding the most complex data collection, analysis, and reporting processes.
• Provide guidance, training, and mentoring to less experience personnel in qualitative and quantitative analysis.
• Analyze data and contribute to manuscripts and reports.
• Perform other related duties as assigned.
• Responsible for providing subject matter expertise and direction in research designs and management of quantitative and qualitative data.
• The work primarily consists of leading analysis on data in response to research studies, and presenting the results of those analyses to internal and external stakeholders.
• Independently develops and oversees research initiatives; exercises leadership in data management and analysis, and is seen as an expert in research analysis.
• Uses subject matter and technical expertise to identify and define research questions and data elements, and integrates them into research design.
• Leads the planning stages of research and introduces new statistical methodologies and research designs.
• Develop, recommend, modify, and implement policies and procedures and/or methods for research.
• Leads the development and formulates best practices and protocols in data collection, data quality, warehousing, analysis, and reporting including developing special forms and/or formats for analyzing and presenting data.
• Mentors less experienced members of the research team, develops training, and provides continued guidance.
• Independently cleans, validates, and analyzes research data in order to prepare research findings for publications of journal articles and grant proposals.
• Searches relevant literature, develops conclusions, writes reports, prepare and deliver presentations of relevant findings and conclusions, and recommends appropriate actions.
• Reviews analysis and reports of less experience members of the research team.
• Supervise analysts that use research data and statistical methods to provide insight into business performance.
• Assist in development of recommendations for methods of improving business operations.
• Implements analytical approaches and methodologies and assists in the interpretation of results.
• Manages the collection and analysis of data and identify benchmarks for comparison purposes.
• Presents reports to management for use in decision making and strategic planning.
• Manage research data analytics methodologies and research designs.
• Conducts data analysis using macro- and micro- data for research operations and administration.
• Lead problem solving sessions on various data research efforts.
• Frames appropriate and achievable research objectives.
• Manage the execution of development and implementation of research based on available data and areas of interest; develop work plans and manage to deadlines.
• Leads and supports efforts to strengthen research operations and administration within the unit including developing and refining protocols and establishing strategic partnerships.
• Develop and maintain quality control systems and ongoing reviews of processes and practices based on analysis of process and procedures.
• Provide recommendations for improvement.
• Manage data repository and reporting, including development of scoping requests, review of data requirements, and validation of data through user testing.
• Delivers data and analytics in a reporting format which can be understood by all levels.
• Prepares ad hoc and standard reports for external reporting.
• Draft and review written research reports and other outputs.
• Creates and tailors presentations to various internal and external audiences.
• Effectively communicates and interprets both verbal and written thoughts, ideas, and facts.
• Writes and presents information in a clear and concise way and competently adapts writing style to fit the needs of the organization.
• Determine specifications of database(s).
• Develop and maintain databases and data systems necessary for analysis and reporting.
• Develop and design procedures for databases and ensure standardization of design is maintained.
• Analyzes large data sets to identify patterns and clearly communicate key research trends.
• Researches and evaluates data and trends, then forecasts any changing conditions.
• Defines, validates, and implements analytics and responds to data accuracy and logic in reports.
• Designs suitable methodologies to deliver to the agreed upon objectives and provide actionable insights.
• Identify and partner with key stakeholders to define research priorities and develop plans that can support these priorities.
• Manage key data analytics and data warehousing staff, ensuring constant improvement in their professional skills, guiding in the execution of their duties upon request, and essentially readying them for taking up his position in the future.
• Foster and support a consultant/client environment, providing business unit and campus representatives with assessment, training, and advisement in research area.

Benefits

• Contingent Category II staff receive a generous leave package that includes over 2 weeks of vacation each year, paid holidays, sick time, and time for community service
• Subsidized comprehensive health insurance and supplemental retirement options
• Professional learning and development programs
• Limited tuition remission for employees enrolled at UMB
• Life insurance and long-term disability
• Flexible work schedules and teleworking options (if applicable per job)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior