Principal Biostatistician

Quality Talent Group; Short Hills (NJ); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive benefits

Paid time off

Health insurance

Retirement plan

EAP & well-being

Well-being reimbursement

Parental and family benefits

Holidays & volunteering

Learning & development

Job summary

Quality Talent Group in New Jersey seeks an experienced Lead Biostatistician to oversee biostatistics operations across clinical development programs. You will ensure high-quality design, analysis, and interpretation of trial data, acting as the SME for statistical methods and regulatory expectations.

The role requires collaboration with cross-functional teams and external partners, supporting regulatory submissions and manuscript development.

Qualifications

• PhD in Statistics or related field preferred; 4+ years with PhD or 6+ years with MS.
• Strong background in clinical development biostatistics and regulatory processes.
• Proficiency in SAS or R and CDISC SDTM/ADaM data standards.

Responsibilities

• Lead and manage biostatistics operations for clinical development programs with high-quality design and analysis.
• Serve as the Lead Statistical SME, applying appropriate methodologies per procedures and regulatory expectations.
• Oversee statistical activities at the project level, including vendor oversight and reporting standards.
• Collaborate cross-functionally and with external partners to support project success and manuscript development.
• Provide statistical support for regulatory submissions and interactions with health authorities.

Skills

Biostatistics

SAS or R

Cross-functional teamwork

Communication

CDISC standards

Education

PhD in Statistics or related field

MS in Statistics or related field

Tools

CDISC standards

Job description

Overview:

Recognized in 2024 by Seramount as one of the 100 Best Companies for Working Parents and Caregivers, the company also earned a place on the 2024 US Inclusion Index and Global Inclusion Index across 7 countries - Brazil, Canada, China, Germany, India, Japan, and the UK.

This is a global organization in the consumer health and personal care industry, with 135+ years of heritage, 22,000+ employees, and a presence across 100+ countries. Its portfolio includes iconic consumer health and personal care brands used by millions of people worldwide.

Benefits:

• Competitive benefits package.
• Paid time off.
• Health insurance benefits, including coverage for doctor visits and mental health care.
• Retirement program.
• Employee Assistance Program (EAP) and mental well-being resources.
• Global exercise/well-being reimbursement.
• Adoption, fertility, and surrogacy benefits.
• Global parental leave.
• Paid company holidays and volunteer time.
• Learning and development opportunities.

Qualifications

• Graduate degree in Statistics or related quantitative field; typically 4+ years industry experience with a PhD or 6+ years with an MS.
• Strong background in clinical development biostatistics, statistical methods, and industry processes.
• Proficiency in SAS or R programming.
• Excellent communication, collaboration, problem-solving, and interpersonal skills; effective working in cross-functional teams.
• Advanced knowledge of working with CDISC and related FDA standards for the specification and creation of SDTM and ADaM datasets.

Responsibilities

• Lead and manage biostatistics operations for clinical development programs, ensuring high-quality design, analysis, reporting, and interpretation of clinical trial data.
• Serve as the Lead Statistical SME, applying appropriate statistical methodologies in alignment with established procedures and regulatory expectations.
• Oversee statistical activities at the project level, including vendor oversight and ensuring compliance with statistical analysis and reporting standards.
• Collaborate cross-functionally and with external partners to support project success, publication strategies, and manuscript development.
• Provide statistical support for regulatory submissions and interactions with health authorities.