Senior Manager, Statistical Programming - Remote

Visa Hunt; United States; On-site; USD 164,000 - 197,000; Full time

Benefits offered by this job

Health Coverage

Wellbeing Support

Financial Well-being and Protection

Job summary

Bristol-Myers Squibb Company is seeking a Senior Manager, Statistical Programming in Princeton, NJ. This role leads programming activities supporting clinical projects, data analysis, and regulatory submissions in a fast-paced biometrics environment.

The position requires a Master’s degree and 3+ years in statistics or related roles, with expertise in R, SAS, XML, and data standards. 100% telecommuting is permitted, with comprehensive benefits and a strong collaboration across cross-functional

Qualifications

• Master's degree or foreign equivalent in Statistics, Business and Information Systems, Industrial Management, Computer Science, or a related field.
• Three years of experience as a Statistician or related occupation.

Responsibilities

• Provide programming expertise to clinical project teams to support development, regulatory submission, and market acceptance of products.
• Design, develop, and implement solutions for integrating, analyzing, and reporting clinical data.
• Develop programming specifications and review planning documents to align with project objectives.
• Ensure programming compliance with regulatory requirements and standards.

Skills

R for analyses

Clinical data standards

SAS/XML/Pinnacle 21

Upstream data processing

Downstream deliverables

Education

Master's degree in Statistics/IT/CS

Job description

Bristol-Myers Squibb Company is seeking a Senior Manager, Statistical Programming in Princeton, NJ. This role leads programming activities supporting clinical projects, data analysis, and regulatory submissions in a fast-paced biometrics environment.

The position requires a Master’s degree and 3+ years in statistics or related roles, with expertise in R, SAS, XML, and data standards. 100% telecommuting is permitted, with comprehensive benefits and a strong collaboration across cross-functional