Clinical (SAS) Programmer- Lead

Accountabilities:: In this role, you will lead clinical data programming activities, ensure the quality of clinical trial outputs, and support the delivery of reliable data solutions. Your main responsibilities will include: Lead the design, development, and validation of clinical data programming solutions for clinical trials. Develop and validate clinical datasets, tables, listings, and figures (TLFs) in accordance with study specifications and analysis requirements. Collaborate with biostatisticians, data managers, and clinical teams to define data specifications, programming requirements, and analysis plans. Ensure the accuracy, consistency, completeness, and integrity of clinical data through comprehensive quality control procedures and validation checks. Apply relevant clinical data standards and regulatory requirements throughout programming and validation activities. Manage day-to-day clinical data science programming tasks, coordinate priorities, and ensure timely delivery of high-quality outputs. Provide technical leadership, guidance, and mentorship to junior programmers, supporting their professional development and technical capabilities. Work collaboratively with cross-functional teams to resolve programming issues, improve workflows, and maintain consistent delivery standards. Manage competing priorities and contribute to multiple clinical projects while maintaining accuracy and compliance. Travel when required, approximately 10% of the time. Requirements: The ideal candidate will bring extensive clinical programming experience, strong technical expertise, and the ability to lead programming activities in a collaborative clinical research environment. The following qualifications and skills are required: Bachelor's degree in Life Sciences, Computer Science, or a related discipline. Extensive experience in clinical data programming, with strong proficiency in SAS and familiarity with R or other relevant programming languages. In-depth understanding of clinical trial data structures, clinical programming workflows, and statistical reporting requirements. Knowledge of CDISC standards, particularly Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM). Understanding of applicable clinical research regulations and regulatory submission requirements. Demonstrated experience developing and validating clinical datasets, tables, listings, and figures. Strong analytical, troubleshooting, and problem-solving skills, with exceptional attention to data accuracy and quality. Proven ability to provide technical guidance, mentor junior team members, and support team performance. Excellent written and verbal communication skills, with the ability to collaborate effectively with biostatistics, data management, and clinical stakeholders. Strong organizational skills and the ability to manage multiple projects, competing deadlines, and changing priorities. Willingness to travel as required, approximately 10%. Legal authorization to work in India. Benefits: Competitive compensation: Base salary and performance-related incentives. Health and wellbeing: Medical, dental, and vision coverage, where applicable. Retirement benefits: Retirement and pension plans, depending on location and eligibility. Financial protection: Life assurance and disability coverage, where applicable. Employee assistance: Access to wellbeing resources and employee assistance programs. Career development: Structured training, learning opportunities, and career progression pathways. Remote work: Remote working arrangements, with listed locations in Bangalore, Trivandrum, and Chennai, India. Collaborative environment: Work within a sponsor-dedicated clinical research model supported by global expertise. Meaningful impact: Contribute to clinical research and the development of treatments that benefit patients worldwide. Inclusive workplace: An equal opportunity environment committed to accessibility, inclusion, and employee wellbeing.