Clinical (SAS) Programmer- Lead

Jobgether; India; Remote; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Remote work arrangements

Health and retirement benefits

Career development and training

Job summary

Partner company in India is seeking a seasoned Clinical (SAS) Programmer – Lead to head programming efforts for clinical trials. The role focuses on designing, developing, and validating programming solutions, ensuring rigorous data integrity and regulatory compliance.

You will mentor junior programmers, collaborate with biostatisticians and data managers, and drive quality across datasets, tables, listings and figures while managing multiple projects and travel up to 10%.

Qualifications

• Bachelor's degree in Life Sciences, Computer Science, or related discipline.
• Extensive experience in clinical data programming with SAS and familiarity with R or other languages.
• Experience with CDISC standards (SDTM/ADaM) and regulatory submissions.
• Strong analytical and leadership abilities; mentorship of junior programmers.

Responsibilities

• Lead design, development, and validation of clinical data programming solutions for trials.
• Develop and validate datasets, tables, listings, and figures (TLFs) per study specs.
• Collaborate with biostatisticians, data managers, and clinical teams on data specs and analysis plans.
• Ensure data quality and integrity through QC procedures and validation checks.
• Provide technical leadership and mentorship to junior programmers.
• Manage multiple projects with competing priorities and travel ~10%.

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Clinical (SAS) Programmer – Lead based in India.

This role offers an exciting opportunity to lead clinical data programming initiatives that support the development of innovative treatments and improve patient outcomes worldwide. You will oversee the design, development, and validation of programming solutions for clinical trials, ensuring that complex clinical data is processed accurately and efficiently. Working within a sponsor-dedicated environment, you will collaborate with biostatisticians, data managers, and clinical teams to deliver reliable datasets and statistical outputs. You will play a key role in maintaining data integrity, meeting regulatory requirements, and upholding rigorous quality standards. The position also offers the opportunity to mentor junior programmers, provide technical leadership, and contribute to continuous improvement across clinical data science activities. If you combine strong SAS programming expertise with analytical thinking and leadership skills, this role offers a meaningful opportunity to advance clinical research.

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.