Lead Statistical Programmer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Biostatistics

Job Category:

Scientific/Technology

All Job Posting Locations:

Raynham, Massachusetts, United States of America, Warsaw, Indiana, United States of America, West Chester, Pennsylvania, United States of America

Job Description:

We are searching for a Lead Statistical Programmer to join our DePuy Synthes team located in West Chester, PA,; Raynham, MA; or Warsaw, IN;

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of Orthopaedics? Ready to join a team that’s reimagining how we heal? Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle; spine; and robotics and digital surgery.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone Orthopaedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals. 

Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes, and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

Purpose: This role will be responsible for the generation of datasets, tables, listings, and graphs from clinical study and Orthopaedics registry sources.

You will:

• Develop and maintain a macro library in collaboration with Manager of statistical programming

• Work within company processes and procedures for statistical programming
• Provide oversight of the quality review of all programming deliverables

• Work with Biostatistics, Clinical, and Medical Research partners to develop plans for timely delivery of reports, metrics and study deliverables
• Design, implement and maintain complex programming deliverables across a wide variety of data sources for company products

Qualifications: 

Required:

• Minimum of a Bachelor’s degree in Statistics, Computer Science, Data Science, or related discipline (required)

• Minimum 6 years of statistical programming in a regulated environment (such as by FDA, FIO, etc.)  
• Strong proficiency in R and/or Python programming language

Preferred:

• Proficiency with SAS programming is desirable
• Demonstrated ability to work with teams to deliver critical milestones
• Experience with CDISC data standard is preferred  
• Ability to create high quality programming deliverables for clinical programs, to be delivered on t