Lead Statistical Programmer: ADaM/CDISC & Team Leader

Tata Consultancy Services; Cincinnati (OH); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Discretionary annual incentive

Comprehensive medical coverage

Parental leaves

401K plan

Training reimbursement

Job summary

Tata Consultancy Services in Cincinnati, OH is seeking a Statistical Programming Lead to oversee program development in a therapeutic area, manage a team of statistical programmers, and ensure timely, high-quality deliverables. The role requires leading SAS and R programming to develop ADaM datasets and Tables, Listings and Figures, adhering to CDISC standards and supporting regulatory filings.

Bachelor of Computer Science and prior leadership experience in clinical statistics preferred; strong

Qualifications

• Experience leading a team of statistical programmers.
• Proficiency in SAS/R to program ADaM, TFLs and analyses.
• Strong knowledge of CDISC ADaM standards and regulatory expectations.

Responsibilities

• Leads the statistical programming activities for a compound/indication.
• Manages resource planning and ensures timely deliverables.
• Develops SAS programs for ADaM datasets and Tables, Listings and Figures.
• Maintains regulatory documentation and SOPs.
• Mentors junior programmers and supports cross-functional teams.

Skills

Team leadership

SAS programming

R programming

CDISC standards

Regulatory filings

Communication

Cross-functional teamwork

Effort estimation

Deadline management

Education

Bachelor of Computer Science

Tools

SAS

R

Job description

Tata Consultancy Services in Cincinnati, OH is seeking a Statistical Programming Lead to oversee program development in a therapeutic area, manage a team of statistical programmers, and ensure timely, high-quality deliverables. The role requires leading SAS and R programming to develop ADaM datasets and Tables, Listings and Figures, adhering to CDISC standards and supporting regulatory filings.

Bachelor of Computer Science and prior leadership experience in clinical statistics preferred; strong