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Salary: USD 157,000 - 189,000 / annual
Eikon Therapeutics is a biopharmaceutical company leveraging revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. The company's discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in microscopes that enable real-time, molecular-resolution measurements of protein movement in living cells, unlocking otherwise intractable classes of proteins as drug targets.
You will join as Manager, Biostatistics, leading statistical efforts across clinical trials and experimental studies. In collaboration with cross-functional teams, you will contribute strategic thinking and statistical expertise to design, execute, and analyze studies that facilitate evidence-based conclusions and guide R&D initiatives.
Key responsibilities include:
- Collaborating with interdisciplinary teams to design clinical trials, experiments, and studies, ensuring appropriate statistical methodologies are employed
- Leading development of statistical analysis plans, including endpoints, sample size determination, randomization strategies, and statistical methodologies
- Performing advanced statistical analyses on complex datasets, interpreting results and drawing actionable conclusions
- Providing guidance and mentorship to biostatisticians and statistical programmers within the team
- Contributing to regulatory submissions by providing statistical expertise and preparing relevant sections of documents
- Staying current with emerging trends and best practices in biostatistics and their application in biotechnology
- Driving implementation and utilization of advanced statistical tools and software
This role requires onsite presence at minimum 3 days per week in the Jersey City, NJ office to support effective management, operational excellence, and high-performance delivery of clinical studies and expected team growth and collaboration.
Qualifications:
- PhD in statistics, biostatistics, or related discipline with 0+ years of experience; recent and new graduates encouraged to apply
- Proficiency in R with 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
