Senior Associate - RWE Obesity Statistical Programming
On-siteHyderabad, Telangana, India
Job Summary
Write, test, and validate software programs in Unix and Databricks to produce analysis datasets and presentation outputs for regulatory submissions and publications. Provide technical solutions to programming problems while leading process improvement initiatives and managing all programming activities against agreed timelines. Execute department-, product-, and protocol-level macros and utilities, then review and approve analysis dataset specifications and key study documents. Collaborate with multidisciplinary teams to clarify requirements, escalate issues, and deliver high-quality results for real-world evidence generation using SQL, SAS, or R. Participate in audits, contribute to policy development, and manage staff performance within the Center for Observational Research.
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject
- 5 to 8 years of experience
- at least four (4) years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting
- Experience in SQL
- statistical programming using SAS or R
- CDISC (SDTM, ADaM)
- Excellent verbal and written communication skills in English
- Ability to have efficient exchanges with colleagues across geographical locations
- Agile project management
- Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries
- Drug development life cycle
- Statistics and basic epidemiology: Incidence and prevalence
- Scientific / technical excellence
- Oral and written communication, documentation skills
- Leadership
- Teamwork
- Problem solving
- Attention to detail
- Learning mindset
- Hands-on programming role
- Expert statistical programming knowledge using SAS or R
- SQL
- SAS or R
Desired Qualifications
- Master's degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject
- Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model
- Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials
- Strong individual contributor, proficient in developing analysis datasets, identifying data anomalies, and ensuring program accuracy
- Global collaboration on studies to clarify and implement analyses described in Statistical Analysis Plans
- Project fulfillment, statistical programming, issue escalation, results delivery
- Motivated to learn how to work with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV)
- Python
- MarketScan
- Optum
- PharMetrics
- Flatiron
- Medicare
- Optum Clinformatics
- Optum EHR PanTher
- CPRD
- MDV
- Innovation
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