Manager, Biostatistics

Position

We are seeking a skilled and highly motivated Manager, Biostatistics to join our talented team. The successful candidate will contribute their statistical expertise and strategic thinking to the design, execution, and analysis of clinical trials and experimental studies. In collaboration with cross-functional teams, you will lead statistical efforts that facilitate evidence-based conclusions and guide our research and development initiatives.

About You

The ideal candidate for this role should possess a proven track record of designing and analyzing clinical trials and experimental studies, particularly within the biotechnology, pharmaceutical, or related industries. This candidate excels in leading interdisciplinary teams to design studies, developing statistical analysis plans, performing advanced statistical analyses, and providing guidance to team members. Their proficiency in statistical programming languages, understanding of regulatory guidelines, and excellent communication skills are essential for conveying complex statistical concepts to non-technical stakeholders. The ideal candidate also demonstrates leadership capabilities and a deep knowledge of emerging trends and best practices in biostatistics, statistical tools, and software.

This role requires onsite presence at minimum 3 days per week in our Jersey City, NJ office to support effective management, operational excellence, and high-performance delivery of clinical studies and expected team growth & collaboration.

What You’ll Do

• Collaborate with interdisciplinary teams to design clinical trials, experiments, and studies, ensuring appropriate statistical methodologies are employed.
• Lead the development of statistical analysis plans, including endpoints, sample size determination, randomization strategies, and statistical methodologies.
• Perform advanced statistical analyses on complex datasets, interpreting results and drawing actionable conclusions.
• Provide guidance and mentorship to biostatisticians and statistical programmers within the team.
• Contribute to regulatory submissions by providing statistical expertise and preparing relevant sections of documents.
• Stay current with emerging trends and best practices in biostatistics and their application in the biotechnology field.
• Drive the implementation and utilization of advanced statistical tools and software.

Qualifications

• PhD in statistics/biostatistics or related discipline with 0+ years of experience, recent and new graduates encouraged to apply.
• Proficiency in R; demonstrated real coding ability (simulation work, packages, applied analysis), genuine depth matters more than current day-to-day use.
• Interest in and aptitude for oncology trial design; prior oncology-specific experience a plus but not required.
• Growing toward full-lifecycle analysis ownership, with a track record of taking on more independent work over time.
• Familiarity with regulatory guidelines and SAP/TLF content; willingness to grow into independent authorship.
• Exposure to Bayesian methods or adaptive trial designs a plus.
• Excellent communication skills with the ability to convey complex statistical concepts to non-technical stakeholders.
• Experience contributing to peer-reviewed publications or conference presentations.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​

• 401k plan with company matching​
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​
• Mental health and wellness benefits​
• Weeklong summer and winter holiday shutdowns​
• Generous paid time off and holiday policies​
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies ​
• Enhanced parental leave benefit​
• Daily subsidized lunch program when on-site​

The expected salary range for this role is $157,000 to $189,000 depending on skills, competency, and the market demand for your expertise.