PHARMAFull-time
Lead Clinical Data Science Programmer
By Admin · Clinical Data Management
BANGALORE (IN)HYBRIDPOSTED: 9/18/2026
PHARMAFull-time
HIRING ORGANIZATIONICONContract Research Organization (CRO) / Clinical Research / Healthcare Services
ROLE OVERVIEW
Lead the design, development and validation of clinical data science programming solutions for complex clinical trials. Provide technical leadership, ensure data quality and integrity, collaborate across clinical functions, and mentor junior programmers.
ROLE DEFINITION & RESPONSIBILITIES
- •Lead design, development and validation of clinical data science programming solutions
- •Collaborate with biostatisticians, data managers and clinical teams on data specifications and analysis plans
- •Program and validate datasets, tables, listings and figures according to study requirements
- •Perform rigorous quality control and validation checks to ensure clinical data accuracy, consistency and integrity
- •Manage day-to-day clinical data science activities and competing priorities
- •Mentor and guide junior programmers
- •Provide technical leadership across the data science programming team
- •Travel as required, approximately 10%
Reporting Hierarchy: Reports to the relevant Clinical Data Science/Programming leadership; collaborates with biostatisticians, data managers, clinical teams and other cross-functional stakeholders; provides technical guidance to junior programmers
* Role responsibilities and qualifications synthesized based on industry benchmark standards.
QUALIFICATIONS & REQUIREMENTS
REQUIRED QUALIFICATIONS
- Bachelor's degree in life sciences, computer science or related discipline
- Extensive clinical data programming experience
- Proficiency in SAS, R or other relevant programming languages
- In-depth knowledge of clinical trial data structures and CDISC standards including SDTM and ADaM
- Knowledge of regulatory requirements
- Strong analytical, problem-solving, communication and leadership skills
PREFERRED QUALIFICATIONS
- •Experience with RAVE/database development
- •Experience working with biostatistics, clinical data management and clinical teams
- •Experience managing multiple projects simultaneously
- •Willingness and ability to travel approximately 10%
REQUIRED VERIFIED SKILLS
Clinical data programming
SAS
R
CDISC
SDTM
ADaM
clinical trial data structures
dataset programming
TLF programming
data validation
quality control
regulatory requirements
clinical research
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
Bonus & Equity: Performance related incentives
Benefits: Competitive total rewards package; health and wellbeing programmes including medical, dental and vision coverage where applicable; retirement and pension plans; life assurance and disability coverage; employee assistance programmes; learning and development opportunities; benefits vary by role and location
The source states competitive base salary and performance-related incentives but does not disclose salary figures. No salary amounts are therefore provided; compensation varies by role and location.
ORGANIZATION CONTEXT & CULTURE
ICON is a global healthcare intelligence and clinical research organisation focused on accelerating the development of new medicines and treatments. The organisation operates across clinical research and healthcare intelligence with a focus on quality, collaboration and patient impact.
TEAM SIZE: 40,000+ employees
INDUSTRY: Contract Research Organization (CRO) / Clinical Research / Healthcare Services
Culture: ICON highlights integrity, collaboration, agility and inclusion as core values, with emphasis on quality delivery, teamwork, career development and an inclusive workplace.
EXPECTED CAREER ROADMAP
Potential progression can include senior clinical data programming leadership, programming management, clinical data science leadership, specialist CDISC or database roles, and broader clinical technology or data management leadership positions.
APPLICATION ADVISORY
Emphasize clinical data programming leadership and hands-on SAS/R expertise; highlight SDTM and ADaM experience with concrete study examples; quantify datasets, TLFs or clinical trials delivered; mention RAVE/database experience if applicable; demonstrate validation, QC, cross-functional collaboration and mentoring experience; note willingness to travel approximately 10%.
SPONSORED · TRAINING
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