Manager - Oncology RWE Statistical Programming
On-siteHyderabad, Telangana, India
Job Summary
Provide technical solutions to programming problems within CfOR and lead process improvement initiatives. Project manage programming activities according to agreed resource and timeline plans while ensuring adherence to departmental standards and SOPs. Write and approve programming plans, dataset specifications, and key study documents such as SAPs and Data Management Plans. Write, test, validate, and execute software programs in Unix and macros to produce analysis datasets for regulatory submissions and publications. Oversee outsourced resources and manage staff performance and assignments. Participate in multidisciplinary meetings, study audits, and external professional organizations to drive continuous improvement across R&D.
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject
- 8 to 12 years of experience
- at least six (6) years of relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting
- Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in statistical programming projects
- Proficiency in SQL programming
- SAS or R programming
- Ability to work effectively within a large, globally distributed team
- CDISC (SDTM, ADaM)
- Excellent verbal and written communication skills in English
- 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
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
- Team management
- Global collaboration
- Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery
- Statistical programming: SQL required; SAS or R required; Python preferred
- Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV)
- Hands-on programming and lead role
- Expert statistical programming knowledge using SAS or R
- Python
- Innovation
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