Statistical principles and clinical trial methodology
R, sas, or other statistical software
Regulatory guidelines for statistical analysis
Lead study design and data analysis, providing statistical expertise for products across various therapeutic areas, crucial in clinical development, biomarker development, research, and beyond
Job Summary
Lead study design and data analysis, providing statistical expertise for products across various therapeutic areas, crucial in clinical development, biomarker development, research, and beyond.
Perform statistical analyses, interpret results, prepare clinical study reports, and assist in addressing statistical issues in regulatory or legal settings.
Biogen offers a full and highly competitive range of benefits designed to support employees' physical, financial, emotional, and social well-being, including medical, dental, vision, life insurances, and a 401(k) program with company match.
Matching Summary
Lead study design and data analysis, providing statistical expertise for products across various therapeutic areas, crucial in clinical development, biomarker development, research, and beyond.
Salary
$134,000.00-$179,000.00; Bonus/Equity: Cash bonus and equity incentive opportunities; Benefits: Medical, Dental, Vision, Life insurances, Fitness & Wellness programs, Disability insurance, Paid time off, Holidays, Paid Maternity/Parental Leave, 401(k) with match, ESPP, Tuition reimbursement
Skills & Requirements
Must-have
Statistical principles and clinical trial methodology
R, SAS, or other statistical software
Regulatory guidelines for statistical analysis
Lead biostatistics representation on teams
Define statistical methodologies and analyze data
Nice-to-have
Communicate complex statistical concepts
Proactive problem-solving
Continuous learning in statistical methodologies
Mentoring junior biostatisticians
Process improvement initiatives
Key Requirements
PhD in Biostatistics or equivalent
Minimum 3+ years relevant work experience
Ability to manage multiple projects and conflicting priorities
Statistical components of regulatory submissions experience