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Manager -Stats Programmer

7+ years
Not Disclosed
12 Dec. 4, 2024
Job Description
Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

SAS Macro Developer

Location:
Gurgaon - R&D

Company:
Sun Pharmaceutical Industries Ltd


The Company:

Sun Pharmaceutical Industries Ltd. is a global leader in the pharmaceutical industry, ranked as the fourth largest specialty generic pharmaceutical company worldwide, with global revenues exceeding US$ 5.1 billion. Established in 1983, Sun Pharma offers high-quality, affordable medicines in over 100 countries. In the US, Sun Pharma ranks among the top 10 generic pharmaceutical companies and holds the second position by prescriptions in the generic dermatology market.

Sun Pharma’s global reach is powered by more than 40 manufacturing facilities and R&D centers across five continents, employing a diverse workforce from over 50 nationalities. The company is known for its innovation in dermatology, ophthalmology, and derma-oncology, supported by a strong R&D infrastructure.


Job Summary:

Sun Pharma is seeking an experienced SAS Macro Developer to join its R&D team. The role primarily involves developing and maintaining SAS macros that support SDTM (Study Data Tabulation Model), ADAM (Analysis Data Model), and TLF (Tables, Listings, and Figures) programming tasks. These are essential components of the drug development process, ensuring efficient, standardized, and automated programming workflows.


Key Responsibilities:

  • Macro Development:

    • Design, develop, and implement reusable SAS macros to enhance SDTM, ADAM, and TLF programming workflows.
    • Automate SDTM programming tasks like data transformation, variable derivation, and metadata generation.
  • Collaboration & Problem-Solving:

    • Work closely with SAS programmers, Biostats, and subject matter experts to translate business requirements into efficient macro solutions.
    • Provide support in SDTM/ADaM and TLF programming during the study phase.
  • Standards Adherence:

    • Maintain strong knowledge of CDISC SDTM, ADAM, and TLF standards, ensuring macros align with industry best practices.
    • Stay up-to-date with regulatory requirements for drug development processes and standards.
  • Optimization & Testing:

    • Ensure macros are optimized for performance, scalability, and maintainability.
    • Conduct thorough testing to validate macro functionality and resolve any issues.
  • Documentation & Training:

    • Document macro code, usage guidelines, and best practices for knowledge sharing.
    • Train team members on leveraging developed macros.

Qualifications:

  • Education:

    • BSc or equivalent with research experience, or MS in Computer Science, Bioinformatics, or related field (Master's preferred).
  • Experience:

    • Minimum of 7 years of experience in SAS programming, specializing in macro development for clinical development, with strong knowledge of CDISC ADaM, SDTM, and ICH guidelines.
    • Experience in the pharmaceutical, healthcare, or life sciences industry is highly preferred.
    • Experience with R programming is an advantage.

Required Skills:

  • Proficiency in writing dynamic, complex SAS macros using advanced macro features (variables, functions, conditional logic).
  • Strong understanding of SDTM, ADAM, and TLF standards and their application in clinical development.
  • Experience in designing modular, reusable, and maintainable macro solutions for SDTM programming tasks.
  • Knowledge of the Software Development Life Cycle (SDLC) process.
  • Excellent problem-solving, analytical, and communication skills.
  • Ability to work independently and collaboratively within cross-functional teams.