Principal Biostatistician

CLINICAL DEVELOPMENT | CAMBRIDGE, MA, UNITED STATES

Merrimack Pharmaceuticals is a Cambridge, MA based biopharmaceutical company focused on the discovery and development of transformational medicines for complex disease, with an initial focus on cancer. We are committed to providing patients, physicians and the healthcare system with the medicines, tools and information on the diagnosis and treatment of illness through a more precise mechanistic understanding of disease based on our Network Biology approach.
We currently have 5 compounds in oncology clinical trials and a strong pipeline that is expected to produce several more clinical development candidates in the near future.

The Senior Biostatistician will be working with a cross?functional program team as the statistical lead, responsible for statistical activities across multiple studies, and reporting to the program medical director. The ideal candidate is a good communicator, high-energy, self-motivated, and forward?thinking. Experience working in oncology development is preferred, but not required.

JOB RESPONSIBILITIES:

- Provide leadership and guidance as the statistical expert on a cross?functional program team
- Apply statistical expertise to ensure optimal clinical trial designs, analysis methods and data displays
- Be accountable for all statistical aspects of protocols and regulatory submissions
- Represent Merrimack regarding statistical issues with external parties including regulatory agencies and corporate partners
- Work collaboratively with internal and external (e.g. CRO) team members to coordinate the planning and execution of biostatistics deliverables
- Work with data management personnel in the preparation of datasets that are of high quality and in usable format
- Provide requirements to SAS Programmers to facilitate efficient and effective programming
- Be responsible for quality assurance of data produced, the validity of the reported results and their statistical interpretation
- Participate in the establishment of processes and standards for the generation and reporting of data
- Contribute to the development of statistical approaches and support for biomarker analysis and translational research.