Novotech is seeking applications for the position of Clinical Data Programmer SAS II (CDPSAS) in India. The role focuses on clinical data programming, statistical analysis, business intelligence, and data visualisation to support clinical study quality control, data review, and operational monitoring.
Candidates with a graduate qualification in computer science, data science, mathematics, life sciences, or a related field and at least two years of relevant experience can apply. Practical experience with SAS and/or business intelligence tools such as TIBCO Spotfire or Power BI is required.
Novotech Clinical Data Programmer SAS II Recruitment: Job Details
| Particulars | Details |
|---|---|
| Company | Novotech |
| Job Role | Clinical Data Programmer SAS II |
| Job Code | CDPSAS |
| Job Location | India |
| Qualification | Graduate degree in Computer Science, Data Science, Mathematics, Life Sciences, or a related field |
| Experience | Minimum 2 years of relevant experience |
| Required Technical Skills | SAS and/or business intelligence tools |
| Industry | Clinical Research and Biotechnology |
| Employment Type | Full-time details not provided in the supplied JD |
Position Details
The Clinical Data Programmer SAS II will develop, validate, deploy, and maintain programming and analytics solutions for clinical studies. These solutions include dashboards, graphs, tables, listings, and reports that help clinical data managers, clinical data reviewers, project managers, and other stakeholders monitor data quality and study performance.
The role also supports risk-based quality management (RBQM), centralised monitoring, clinical data review, and workflow automation.
Key Responsibilities
1. Clinical Data Programming and Analysis
- Gather clinical, laboratory, external, and operational data requirements from clinical study teams.
- Extract, integrate, transform, and analyse clinical study data using SAS and relevant technologies.
- Develop dashboards, visualisations, tables, listings, graphs, and reports.
- Build reusable and validated programs that support data inspection, reconciliation, and clinical review.
- Perform programming quality control, peer reviews, troubleshooting, and validation testing.
2. Clinical Data Visualisation and Monitoring
- Develop analytics for risk-based quality management and centralised monitoring.
- Support key risk indicators, quality tolerance limits, and clinical site performance monitoring.
- Identify meaningful data trends and quality signals.
- Present analytical findings to study stakeholders and provide training on developed solutions.
3. Software Tools and Automation
- Work with relevant programming, business intelligence, clinical data review, and analytics technologies.
- Evaluate and apply tools such as Power BI, Spotfire, SQL, Python, R, Medidata Clinical Data Studio, and CluePoints.
- Develop reusable templates, macros, standard programs, and automated solutions.
- Maintain controlled libraries of validated programs and analytical outputs.
4. Documentation and Compliance
- Maintain complete, accurate, and inspection-ready project documentation.
- Follow Novotech standard operating procedures (SOPs), regulatory guidelines, validation requirements, and data integrity principles.
- Prepare user requirements, technical specifications, test evidence, and supporting documentation.
- Contribute to process improvement, technical standards, quality control, and governance initiatives.
5. Team Collaboration
- Collaborate with clinical data managers, clinical data reviewers, project managers, and other stakeholders.
- Participate in clinical data visualisation team and Biometrics department meetings.
- Share technical knowledge and support the development of less-experienced colleagues.
Eligibility and Qualifications
Candidates applying for the Novotech Clinical Data Programmer SAS II position should meet the following requirements:
- A graduate qualification in computer science, data science, mathematics, life sciences, or a related field.
- A minimum of two years of relevant experience in statistical programming, business intelligence, data analysis, or data science.
- Relevant experience within a pharmaceutical company, contract research organisation (CRO), or electronic data capture (EDC) software provider.
- Practical experience using SAS and/or business intelligence tools such as TIBCO Spotfire or Power BI to analyse clinical, laboratory, or operational datasets.
Exposure to additional analytics, risk-based quality management, centralised monitoring, or workflow automation platforms is desirable.
Required Skills and Technical Knowledge
Applicants should have the following technical capabilities and professional skills:
- SAS programming: Practical programming capability for clinical data analysis and reporting.
- Data analytics: Strong knowledge of data extraction, integration, transformation, analysis, and presentation.
- Data visualisation: Working knowledge of tools such as Spotfire, Power BI, Tableau, or Qlik.
- Clinical data knowledge: Understanding of clinical study data structures, EDC database schemas, and clinical data review processes.
- Programming languages: SQL, Python, and R are desirable.
- Clinical monitoring platforms: Experience with Medidata Clinical Data Studio (CDS), CluePoints, or similar RBQM and centralised monitoring platforms.
- Workflow automation: Familiarity with tools such as JReview and Power Automate.
- Requirements gathering: Ability to translate stakeholder requirements into practical analytical solutions.
- Compliance and validation: Awareness of regulatory requirements, SOPs, validation practices, and quality control principles.
- Professional skills: Strong analytical, communication, stakeholder engagement, and problem-solving abilities.
