Sr. Statistical Programer

Cliantha Research

Ahmedabad District

On-site

INR 1,800,000 - 2,400,000

Full time

10 days ago

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Job summary

Cliantha Research in India invites an experienced Statistical Programmer to join our clinical data analytics team. You will collaborate with statisticians to implement SAP/SPP and generate ADaM data specifications.

You will program and validate analyses in SAS and R, produce TLFs for study reports, and contribute to regulatory submissions while mentoring junior colleagues.

Qualifications

  • Proficiency in SAS / R for ADaM, TFLs and analyses.
  • Experience with statistical software and programming tools.
  • Understanding of statistical methods and clinical research processes.
  • CDISC standards knowledge and therapeutic area familiarity.
  • Knowledge of SAPs, TLFs, and programming documentation.
  • Experience with cross-study, integrated data analysis.

Responsibilities

  • Collaborate with statisticians to develop SAP and SPP; implement to create ADaM specs.
  • Program and validate ADaM and analyses using SAS/R per standards.
  • Generate tables, listings, and figures (TLFs) for reports and regulatory deliverables.
  • Develop and maintain programming documentation and validation plans.
  • Perform QC checks on programming deliverables for accuracy and consistency.
  • Support ad hoc data analyses, data visualization, and exploratory analyses with cross-functional teams.
  • Lead development of standard programming macros and tools to improve efficiency.
  • Stay updated with regulatory guidelines and industry best practices.
  • Lead audits, inspections, and regulatory submissions related to programming.
  • Collaborate with statisticians to address data queries and contribute to publications.
  • Complete tasks within timelines and escalate issues as needed.
  • Coach/mentor/train new team members.

Skills

SAS / R programming
Statistical software
CDISC standards
Statistical methods
Data analysis
Cross-study analysis
Quality focus
Problem solving
Communication
Team collaboration
Mentoring
Regulatory awareness

Education

Master's degree or Bachelor's in statistics / CS / engineering

Job description

Role & responsibilities
  • 1. Collaborate with statisticians to develop, review, and approve Statistical Programming Plans (SPP). Implement Statistical Analysis Plans (SAP) and SPP to create ADaM data specifications.
  • 2. Program and validate ADaM and statistical analyses using programming languages (e.g., SAS, R), ensuring adherence to established standards and guidelines.
  • 3. Generate tables, listings, and figures (TLFs) for clinical study reports, safety reports, and other deliverables, ensuring accuracy, consistency, and adherence to regulatory requirements.
  • 4. Develop and maintain programming documentation, such as annotated program code, programming specifications, and validation plans.
  • 5. Perform quality control checks on statistical programming deliverables to ensure accuracy, consistency, and adherence to programming standards.
  • 6. Collaborate with cross-functional teams to support ad hoc data analyses, data visualization, and exploratory analyses as needed.
  • 7. Ability to lead the development and implementation of standard programming macros, utilities, and tools to improve efficiency and consistency in programming tasks.
  • 8. Stay updated with industry best practices, regulatory guidelines, and emerging technologies in statistical programming and data analysis.
  • 9. Lead the planning and execution of statistical programming-related audits, inspections, and regulatory submissions, ensuring compliance with relevant regulations and guidelines.
  • 10. Collaborate with statisticians and study teams to provide programming support, address data-related queries, and contribute to study-related publications.
  • 11. Performs assigned task(s) in accordance with customer requirements within agreed timelines and Quality.
  • 12. Escalates unresolved issues appropriately to Team Lead /Project Lead. Tracks and follows up on all issues raised. Provides timely status updates. Proactively highlight risk.
  • 13. Coach/Mentor/Train new team members and line function as per requirement.
Preferred candidate profile
Educational Qualification / Experience for the role:

Master's degree with 4+ years of experience or bachelor's degree with 6+ years of experience in statistics, computer science, engineering, or a related field

Required Skillsets:
  • 1. Proficiency in SAS / R programming languages to Program and validate ADaM, TFL and statistical analyses
  • 2. Proficiency in using statistical software and programming tools
  • 3. Understanding of statistical methods, data analysis techniques, and clinical research processes.
  • 4. Advance knowledge of CDISC standards and therapeutic area (Oncology, Immunology, Neuroscience etc.)
  • 5. In-depth understating of drug development process and clinical study life cycle
  • 6. Familiarity clinical study protocols, statistical analysis plans (SAPs), tables, listings, and figures (TLFs), and statistical programming documentation.
  • 7. Strong experience in generating TLFs, programming macros, and data manipulation using SAS.
  • 8. Good to have experience in other statistical programming languages (R).
  • 9. Experience working on cross-study, integrated data analysis.
  • 10. Strong attention to detail and quality Focus
  • 11. Problem-solving skills (Ability to identify and troubleshoot programming issues)
  • 12. Effective communication skills (both written and verbal)
  • 13. Ability to interact professionally with statisticians, study teams, and external partners
  • 14. Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines.
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