Description :

Role : Senior / Principal Statistical Programmer (SAS & R)

Location : Bangalore / Hyderabad / India (Remote Opportunities Available)

About Veramed :

Veramed prides itself on two core values - delivering the highest quality statistical and programming consultancy to its clients and fostering an industry-leading work environment for its employees.

Our culture is built on collaboration, growth, and continuous learning, providing a platform for you to advance your career while making an impact across global clinical projects.

We are currently seeking a hands-on, detail-oriented Senior / Principal Statistical Programmer to join our expanding Statistical Programming team.

The ideal candidate will demonstrate strong technical acumen, leadership potential, and a passion for delivering excellence in clinical programming.

Key Responsibilities :

Programming & Data Management :

- Develop, validate, and maintain datasets, tables, listings, and figures (TFLs) according to specifications and CDISC SDTM/ADaM data standards.

- Perform quality control (QC) of programming deliverables to ensure accuracy and compliance with regulatory standards.

- Create and review dataset specifications, ensuring adherence to internal and client-specific guidelines.

- Automate and optimize programming processes to improve efficiency and consistency across projects.

- Contribute to the development of programming best practices and reusable code libraries.

Collaboration & Communication :

- Partner closely with Statisticians, Data Managers, and Clinical Teams to support analysis and reporting needs.

- Participate actively in internal and client study team meetings, presenting programming updates and technical insights.

- Provide technical mentorship, guidance, and peer review support to junior programmers.

- Communicate effectively with clients, ensuring clarity in deliverables, expectations, and timelines.

Project & Technical Leadership :

- Support or lead programming activities across multiple studies or therapeutic areas.

- Contribute to planning and resource estimation for new studies.

- Ensure programming deliverables meet Good Programming Practices (GPP) and regulatory compliance (FDA, EMA) standards.

- Actively participate in process improvement, automation initiatives, and cross-functional projects.

Opportunities for Growth :

- Progression to Lead Programmer or advanced Technical Specialist roles.

- Exposure to diverse therapeutic areas and clinical phases (IIV).

- Opportunity to present at global conferences or contribute to internal innovation initiatives.

- Engagement in peer mentoring, line management, and Verameds B Corp community-driven initiatives.

What to Expect at Veramed :

A collaborative, supportive, and transparent work culture that values both personal and professional development.

Access to diverse global projects and clients, including leading pharmaceutical and biotech companies.

Empowerment to own your role, innovate, and make meaningful contributions.

Ongoing training, mentorship, and technical development in both SAS and R environments.

Qualifications & Experience :

Education :

- Bachelors or Masters degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related field.

Experience :

- 7 - 10 years of hands-on programming experience in SAS and R within a clinical research, CRO, or pharmaceutical environment.

- Proven expertise in developing and validating CDISC-compliant SDTM and ADaM datasets.

- Solid understanding of the clinical drug development process, ICH/GCP guidelines, and regulatory submission requirements (e.

, FDA, EMA).

- Strong grasp of statistical concepts, analysis methods, and reporting standards.

- Excellent communication, problem-solving, and time management skills.

- Ability to work independently and collaboratively within cross-functional teams.

Preferred / Desirable :

- Experience in lead programming, team mentoring, or client-facing roles.

- Familiarity with Git, R Markdown, Shiny apps, or automation frameworks for statistical reporting.

- Exposure to therapeutic areas such as Oncology, Rare Diseases, or Cardiovascular studies.

Tools & Technologies

Programming Languages : SAS, R, SQL

Frameworks : CDISC SDTM, ADaM

Tools : JIRA, GitHub, RStudio, SAS Enterprise Guide, Spotfire (optional)

Domains : Clinical Trials, Regulatory Submissions, Data Standards