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RTI International · 17 hours ago

Research Python Programmer/Data Analyst

United States

Full-time

Remote

Senior Level, Lead/Staff

$130K/yr - $161K/yr

8+ years exp

RTI International is an independent, scientific research institute dedicated to improving the human condition. They are seeking a Research Programmer/Analyst with Python, SAS, or SQL experience to analyze and synthesize complex healthcare data into meaningful results, providing analytic development and statistical programming expertise to project teams.

ConsultingEducationGovernmentNon Profit

Culture & Values

No H1B

Hiring Manager

Kelly Vester

Responsibilities

Applying coding expertise and best practices to query, merge, and analyze complex healthcare data from large relational databases

Leveraging a variety of quantitative methods to standardize, blend, and distill data from multiple disparate sources, transforming them into analytic insights for use in client reports, journal manuscripts, abstracts, or posters for professional meetings

Iteratively developing and maintaining SAS, SQL, or Python code with an emphasis on increasing efficiency, minimizing computational errors, implementing process improvements, and other approaches that add value to business processes and analytic results

Participating in thorough code review and documentation, as well as parallel coding efforts for other programmers to maintain quality standards and ensure that code may be efficiently transferred among team members as needed

Constructing analytic datasets and databases to support deliverables for various public health and healthcare financing engagements

Collaborating with project team members to review, critically evaluate, and refine business requirements, and then translate those requirements into programming logic

Demonstrating established functional leadership skills on projects, including advising and mentoring fellow programmers, proactively resolving day-to-day issues of small to medium complexity, incorporating sound coding best practices and standards, and developing these behaviors among early-career staff

Supporting strategic initiatives within the larger programming group and health practice area such as identifying emerging technologies for potential adoption, creating efficiencies or novel coding approaches both within and across projects, mentoring staff, and collaborating with analysts and other programmers to support research objectives

Participating in industry conferences and continuing education on healthcare-related and/or technical coding topics (including learning new coding languages) as applicable to the role and evolving business needs

Routinely sharing insights gained from the above activities with fellow programmers, leaders, and other division staff through activities such as presentations at staff meetings, contributions to collective codebase utilities, and training early career staff

Qualification

PythonSASSQLRelational databasesHealthcare experienceAnalytic Development Life CycleAnalytic thinkerInterpersonal skillsOrganizational skills

Required

BS/BA or advanced degree in data science, computer science, statistics, social sciences, health policy or related field with at least 8 years of programming experience OR the equivalent combination of education and experience. An equivalent combination of education and experience is defined as a Master's degree in the same areas mentioned above and at least 6 years of relevant experience

Minimum of 8 years of combined experience with Python, SAS or SQL analytical coding with demonstrated expertise in the linkage of various types of data files. At least 4 years of the minimum experience must be comprised of leveraging Python and/or SQL for analytic programming purposes

Programming experience using data stored in relational databases such as Teradata, Snowflake, DB2, Oracle, and SQL Server

Healthcare industry experience, analytic experience in work with the Centers for Medicare & Medicaid Services (CMS) and/or knowledge of healthcare terminology and taxonomy/classification systems (e.g., ICD-10, CPT, HCPCS)

Experience designing and implementing flexible, reusable, scalable, computationally efficient and easily maintainable programming code for use across multiple projects

Demonstrated understanding of analytic programming quality and best practices, including experience with QA/QC procedures (e.g., peer review of code, parallel programming) and the ability to teach these skills to others

Demonstrated experience with all phases of the Analytic Development Life Cycle

Organizational and planning skills that enable independent work while contributing to a team effort

Analytic thinker with exceptional attention to quality and detail

Good interpersonal skills, including written and oral English-language skills, the ability to effectively manage competing deadlines, and the ability to work independently on a day-to-day basis while regularly collaborating with project teams

Applicants must be legally authorized to work in the United States, have lived in the United States for at least 3 of the last 5 years, and should not require now, or in the future, sponsorship for employment visa status

Preferred

At least 2 years of experience in a functional or technical leadership role with experience teaching others coding best practices, conducting thorough code reviews, and guiding teams through one or more phases of the Analytic Development Life Cycle

Experience with other open-source programming languages such as R, Java, and Perl

Experience leveraging relational database management concepts to build or enhance large systems of analytic datasets

Programming experience within CMS data systems such as the Integrated Data Repository (IDRC), Chronic Conditions Warehouse (CCW), or Centralized Data Repository (CDR)

Understanding and use of issue tracking and code versioning tools such as Jira or Git

Experience with Linux/Unix

Ability to provide quality programming output while also identifying overall enhancements to programming or project team processes to advance quality, efficiency, and collaboration efforts