Lead Statistical Programmer

ACL Digital

Guntur District

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+
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Job summary

ACL Digital seeks a Senior SAS Programmer to design and maintain statistical programming solutions for clinical studies, ensuring CDISC SDTM/ADaM compliance and GCP standards.

You'll translate study protocols into robust, validated SAS code, generate analysis datasets and tables, and contribute to regulatory deliverables while promoting best practices across the team.

Strong communication skills and the ability to work independently in a fast-paced environment are essential.

Qualifications

  • Masters in computer science or statistics or related field.
  • SAS certification preferred but not required.
  • Strong knowledge of CDISC SDTM and ADaM standards.
  • Good understanding of GCP regulatory requirements.

Responsibilities

  • Design or write program specifications based on consultations with Biostatisticians.
  • Write SAS programs to produce CDISC compliant datasets.
  • Create statistical analysis outputs for final reports, abstracts, posters, and manuscripts.
  • Write QC SAS programs for Datasets, Tables, Listings and Figures.
  • Write programs for ISS, ISE and pooled datasets.
  • Revise programs for corrections or environment changes.
  • Generate Pinnacle 21 reports, Define XML/PDFs and Reviewer Guides.
  • Establish standardized programming procedures and work instructions.
  • Develop and validate standardized macros and utilities.
  • Ensure regulatory requirements are met via validation/compliance.
  • Promote established standards, SOPs and best practices.
  • Other responsibilities as assigned.

Skills

SAS programming
CDISC SDTM/ADaM
GCP/ICH knowledge
Data analysis
Regulatory reporting

Education

Master's degree in computer science or statistics
Bachelor's degree in related field
CDISC certification (preferred)

Tools

Base SAS
SAS/STAT
SAS Graph
SAS Macro Language
Define XML
Pinnacle 21

Job description

Purpose:

Provide advanced technical expertise to develop and maintain programs/methodology to meet internal and external clientele needs.


Plan and lead the development of project-related solutions to the full scope of statistical programming tasks.


Provide technical expertise to the Statistical Programming department.



Roles and Responsibilities:

Design or write program specifications based on consultations with Biostats


Write SAS codes to produce CDISC complaint datasets.


Create statistical analysis outputs to be used in support of final reports, abstracts, posters, manuscripts, adhocs and other clinical publications.


Write QC SAS programs for Dataset, Tables, Listings, and Figures following the departmental QC procedures and good programming practices.


Write programs for ISS, ISE and pooled datasets.


Revise programs for corrections, enhancements, or system environment changes.


Generate Pinnacle 21 reports, Define XML, Define PDFs, and Reviewers Guides. Review Pinnacle 21 report for action needed to fix errors and warnings.


Assist in establishing standardized programming procedures and work instructions.


Develop, enhance, evaluate, and validate standardized macros and utility programs.


Ensure that regulatory requirements are met through validation/compliance activities.


Use and promote use of established standards, SOP and best practices.


Other responsibilities as assigned.



Required Knowledge, Skills and Abilities:

Knowledge of statistics, programming and/or clinical drug development process


In-depth knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines


Ability to implement programming specifications, as appropriate


Ability to estimate programming scope of work and assist in communicating project status


Working knowledge of Base SAS, SAS/STAT, SAS Graph and SAS Macro Language


Exhibits routine and occasionally complex problem-solving skills


Recognizes when negotiating skills are needed and seeks assistance.


Good organizational, interpersonal, leadership and communication skills


Ability to effectively handle multiple tasks and projects, under supervision


Excellent accuracy and attention to detail


Ability to establish and maintain effective working relationships with co-workers, managers, and clients


Excellent organizational skills and good verbal and written communication skills.


Ability to work independently.



Minimum Education and Experience:

Masters degree in computer science, statistics or related field; Bachelor's degree in computer science, statistics or equivalent combination of education, training and experience.


SAS certification preferred but not required.


R programming knowledge preferred but not required.


Strong knowledge of CDISC SDTM and ADaM standards.


Good understanding of GCP regulatory requirements and drug development process.


Excellent organizational skills and good verbal and written communication skills.


Ability to work independently.

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