Senior Biostatistics Scientist, Clinical Development

Johnson & Johnson Innovative Medicine; Raritan (NJ); On-site; USD 117,000 - 201,000; Full time

Benefits offered by this job

Vacation time

Sick leave

Parental leave

Volunteer leave

Job summary

Johnson & Johnson Innovative Medicine seeks a Principal Scientist, Biostatistics to guide design and analysis for Clinical Development, Medical Affairs, Discovery, and Manufacturing Sciences. You will collaborate with QSCP and other scientists to support statistical aspects of programs and regulatory commitments, while leading SD S leadership within teams.

The role emphasizes leadership, advanced statistical methods, cross-functional partnerships, and delivering high-quality outputs in alignment

Qualifications

• Requires a Master’s degree with 6+ years of experience or a PhD with 4+ years of experience.
• Proficiency in SAS and R; Python experience is a plus.
• Excellent interpersonal and written communication skills; ability to work across disciplines.

Responsibilities

• Exhibit advanced proficiency in data analytics and statistical principles to support programs.
• Lead use of data tools to support studies, experiments, or trials and optimize study designs.
• Ensure high-quality statistical methodologies and compliant practices across projects.
• Collaborate cross-functionally to address issues and drive process improvements.
• Engage with external partners to enhance communication, efficiency and productivity.

Skills

Advanced data analytics

Statistical methods

Cross-functional collaboration

Education

Master's degree +6 years experience

PhD +4 years experience

Tools

SAS

R

Python

Job description

Johnson & Johnson Innovative Medicine seeks a Principal Scientist, Biostatistics to guide design and analysis for Clinical Development, Medical Affairs, Discovery, and Manufacturing Sciences. You will collaborate with QSCP and other scientists to support statistical aspects of programs and regulatory commitments, while leading SD S leadership within teams.

The role emphasizes leadership, advanced statistical methods, cross-functional partnerships, and delivering high-quality outputs in alignment