Epidemiology Data Developer Iv - Remote

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

The Epidemiology Data Developer IV develops and manages data assets and infrastructure in support of Epidemiology’s government related public health surveillance and research activities. Additionally, may support the Epidemiology group with ad-hoc data exploration and innovation. Supports Epidemiology analyst group by serving as Subject Matter Expert in a particular data type or analytic process.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Project-specific Responsibilities
  • Extracting and linking data from multiple DBMS sources and creating analytic limited datasets for use by analysts.
  • Scheduled data refreshes, quality control, and infrastructure ETL management including addressing data follow-up questions, issues, enhancements, etc.
  • Managing data processing environment – e.g., folder design, disk space, backups, archiving
  • Maintaining secure data environment that utilizes PII/encryption in infrastructure processes
  • Proactively assesses opportunities to provide quality improvement and efficiency in processes
  • Create/modify/execute/programs/files (typically SAS/SQL, scripting, Unix/Linux)
  • Validate programs/processes (typically SAS/SQL) to ensure accuracy and consistency
  • Support linkage to PHI as needed (e.g., support for medical record retrieval, National Death Index search, linking of moms to babies for pregnancy related work)
  • Collaborate, support, and share data infrastructure responsibilities/tasks with other Data Developer colleague(s)
  • Provide analytic advice to research team members; investigate issues with the data and reports findings
  • Work with researchers and analysts to develop technical specifications documents to investigate data or implement ETL updates
  • Create and maintain technical documentation, including data access requirements, infrastructure design, and ETL process steps and supporting quality control
  • Assess time needed to accomplish tasks; shifts priorities/projects as needed
• Other Responsibilities
  • May assist in the preparation of bids for new work, including completing (or overseeing the completion of) feasibility requests
  • Serve as technical resource to other analysts. Present new programs/techniques
  • May assist with interviewing, onboarding, training, or other activities that support the analyst team
  
  

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• MS in a scientific or technical field, or similar/related field, with 7+ years of professional experience in pharmaceutical/biotech, healthcare, or research setting - OR BS in a scientific or technical field, or similar/related field, with 12+ years of professional experience in pharmaceutical biotech, healthcare, or research setting
• 7+ years of advanced programming experience with SAS and SQL
• Experience working with medical and pharmacy claims and/or clinical data
• Experience working with large Database Management Systems (DBMS)
• Proven good Unix/Linux skills, including Korn Shell (KSH) scripting
• Proven comfortable collaborating, supporting, and sharing data infrastructure responsibilities/tasks/ideas with Data Developer colleague(s)

Preferred Qualifications:

• Experience managing large data (e.g., appends/refreshes, chunking, HASH tables)
• Experience implementing quality control measures and validating programs and processes in SAS and SQL
• Experience with UHG/Optum DBMS (e.g., Galaxy, ORD)
• Experience developing data assets in support of government related public health surveillance and research activities

• All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.