Overview
On Site
Full Time
Skills
Data Management
Documentation
Algorithms
Customer Analysis
Verification And Validation
Test Plans
Estimating
Project Planning
Presentations
Computer Science
Mathematics
Life Sciences
Clinical Trials
SAS
Programming Languages
Statistics
Management
Communication
Modeling
CDISC
SDTM
Job Details
Responsibilities:
- Provide input on key study-related documents produced by other functions (e.g. CRFs, Data Management Plan, SAPs, etc.).
- Create or review and approve CDISC-compliant datasets and corresponding documentation for electronic submission to regulatory agencies.
- Develop software systems to generate displays of clinal al study data as tables, listings, and graphs for electronic submission to regulatory agencies.
- Attending multi-disciplinary team meetings, representing the programming function.
- Create or review and approve programming plans at study and project level.
- Assist statisticians by suggesting algorithms to address Client analysis requests.
- Develop software validation procedures and test plans, as necessary.
- Create and document archives of software, outputs, and analysis files.
- Create and maintain department SOPs related to clinical programming.
- Oversee work of internal contract programmers and external vendors.
- Provide time and resource estimates for project planning.
- Review draft clinical reports, journal articles, slide presentations, and other documents to assure that results are reported accurately.
- Bachelor's degree in computer science, Statistics, Mathematics, Life Sciences or other relevant scientific fields; master's degree preferred.
- Minimum 6 years of experience in developing software for clinical trials using the SAS system.
- Skilled in programming with SAS. Knowledge of additional programming languages a plus.
- Good knowledge of statistics and drug development process.
- Experience as a lead programmer for NDAs/BLAs.
- Experience overseeing the work of internal contractors and external vendors (CROs).
- Solid verbal and written communication skills.
- Experience in pharmacokinetics/pharmacodynamics modeling a plus.
- Familiarity with CDISC standards, including SDTM and ADaM models.
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