Senior Statistical Programmer
Catalyst Clinical Research
Date: 1 week ago
City: Thiruvananthapuram, Kerala
Contract type: Full time

Catalyst Clinical Research provides customizable solutions to the biopharmaceutical and biotechnology industries through Catalyst Oncology, a full-service oncology CRO, and multi-therapeutic global functional and CRO services through Catalyst Flex. The company's customer-centric flexible service model, innovative technology, expert team members, and global presence advance clinical studies. Visit CatalystCR.com.
Job Summary
The SAS Programmer will be responsible for providing SAS programming support for the Statistics and Data Management functions for all clinical trials and regulatory submissions. The candidate will work closely with Biostatisticians and Data Managers to create SAS programs for independently validating selected tables, listings, and figures and to assist with data cleaning and query generation. This position will also serve as a contact for programming activities being performed.
Key Activities
Job Summary
The SAS Programmer will be responsible for providing SAS programming support for the Statistics and Data Management functions for all clinical trials and regulatory submissions. The candidate will work closely with Biostatisticians and Data Managers to create SAS programs for independently validating selected tables, listings, and figures and to assist with data cleaning and query generation. This position will also serve as a contact for programming activities being performed.
Key Activities
- Perform data manipulation techniques and advanced techniques (arrays, transpositions, complex merges, SQL, SDTM etc.) and generic macro use and development to enable listing, table, and graph generation.
- Involve in Statistical programming and validation of CDISC SDTM, Analysis Datasets (ADaM) and Tables, Listings, Graphs (TLG'S)
- Analyze information and develop innovative solutions to programming and data analysis challenges.
- Efficiently produce quality results under time constraints.
- Successfully coordinate multiple priorities.
- Based on experience, serve as the statistical programming lead on internal project teams and coordinate programming, verification, and documentation of statistical programs for use in creating analysis datasets, tables, listings, and figures.
- Assist internal project team in identifying project priorities and communicating such activities and associated timelines to departmental management
- Work independently to carry out assignments with occasional support from senior management.
- Ensure the efficiency, quality, and integrity of data reporting and project activities executed.
- Represent the department in client meetings/presentation and maintain a positive working relationship with sponsors, collaborating associate and vendor personnel.
- Actively adapt and adjust priorities to ensure timely and quality completion of assigned tasks.
- Contribute to on-going improvement of programming processes and methodology.
- Perform other related duties as required by the Department.
- Coach and advice junior programmers to identify problems and solutions
- Ability to adapt and adjust to changing priorities
- Meet objectives as assigned, and interact with the project team to organize timelines, responsibilities, and deliverables.
- Ability to fulfill ad hoc requests and perform high level review on deliverables.
- MSc in Biostatistics, Statistics, Computer Science, or related field.
- 5-7 years of experience, to successfully perform the key responsibilities of the job
- Experience leading statistical programming activities in clinical research for 5 + years experienced candidates.
- SAS Certified Candidates preferred
- Good understanding of Clinical Trials and the various terminologies
- Experience leading statistical programming activities in clinical research
- Previous experience in pharmaceutical research or CRO setting
- Work within a team environment under extremely tight deadlines, and finish all TLGs ahead of schedule, despite severe data issues requiring multiple re-extractions and reruns
- Knowledge of one or more statistical software packages (SAS preferred) used to perform statistical analyses
- Knowledge of CDISC services and hands on experience in developing SDTM datasets.
- Good verbal and written communication
- Positive attitude and willingness to learn and contribute to a team setting
- Demonstrates ability to successfully lead a single project.
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