Senior Biostatistician – Clinical Trials & Data Analysis

Quality Talent Group; Montgomery Township (NJ); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive benefits package

Paid time off

Health insurance

Retirement program

EAP and mental well-being resources

Job summary

Quality Talent Group is seeking a Biostatistician to support design, analysis and interpretation of clinical trials within a global consumer health context. You will contribute statistical input to development plans and submission activities, collaborating closely with cross-functional teams.

The ideal candidate holds an MS or PhD in statistics or a related field, with 3+ years of relevant experience and proficiency in SAS.

Qualifications

• Graduate degree in Statistics or a related quantitative field.
• MS degree or equivalent with 3+ years relevant industry experience; or PhD degree or equivalent.
• Experience with statistical computing software including SAS.

Responsibilities

• Represent the biostatistics function in supporting the design, analysis, and interpretation of clinical trials.
• Provide statistical input to clinical plans in support of product development, claims, and submissions.
• Provide statistical support to the development and review of study protocols, statistical analysis plans, and clinical study reports.
• Participate in oversight of biostatistics activities of external vendors.
• Collaborate with clinical and other personnel in the creation of publications and manuscripts.

Skills

Excellent oral and written comms

Strong interpersonal skills

Excellent problem-solving skills

Education

MS degree or equivalent in Statistics or related field

PhD degree or equivalent in Statistics or related field

Tools

SAS

Job description

Quality Talent Group is seeking a Biostatistician to support design, analysis and interpretation of clinical trials within a global consumer health context. You will contribute statistical input to development plans and submission activities, collaborating closely with cross-functional teams.

The ideal candidate holds an MS or PhD in statistics or a related field, with 3+ years of relevant experience and proficiency in SAS.