Associate Director Biostatistics
Cambridge , Massachusetts
April 04, 2017

About the company
A career at the company offers opportunity, ownership and impact.

All over the world, the company colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. the company, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

Role Description
Responsible for ensuring sound statistical thinking and methods are utilized in the discovery and development of new medicines in Neuroscience. In particular, ensure that in vitro and in vivo experiments are designed, conducted, analyzed and interpreted appropriately, integrating available internal and external knowledge and information at the target and indication/disease level. This is accomplished by influencing designs, refining assays, enhancing the communication between scientists and project teams and ensuring risks are understood and interpreted in light of the preclinical data generated.

• Work with scientists and senior leaders throughout preclinical research to ensure targets and compounds selected for Lead Development and Candidate Nomination are high quality with definitive results that are fit-for-purpose and predictive of success in Phase III.
• Enable limitations and capabilities of assays at all stages of development to be understood: excellent statistical methods applied and documented in protocols, analysis plans and manuscripts, and assay methods are appropriately blinded, randomized and designed to meet clear objectives
• Establish and drive the adoption of statistical best practice within preclinical research
• Core member of scientific teams responsible for determining strategy and delivering results in a timely and high quality environment.
• Interact with internal and external experts to assure sound quantitative approaches are applied to collection and analysis of a wide variety of data types.
• Leader to bring innovative statistical thinking and methods to help drive the enhanced quantitative drug discovery and development paradigm within the company. Central to this approach is the systematic review of prior information, statistical model building and simulation, utilizing Bayesian methods as appropriate, to design more effective studies.
• Work with scientists and senior leaders throughout preclinical research to ensure targets and compounds selected for Lead Development and Candidate Nomination are high quality with definitive results that are fit-for-purpose and predictive of success in Phase III.
• Use statistical expertise to influence both internal and external reports and presentations, with the aim to improve the quality of internal decision making and increase our influence on the external environment

MSc in Statistics (PhD preferred), or demonstration of sufficient statistical training to be successful in the position.
• Experience applying statistical methods to the prospective design and analysis of scientific and/or preclinical problems.
• Strong statistical skills with application in at least one of the following areas: target discovery/validation, lead compound development, computational chemistry/biology, translational research (including imaging and biomarker development/validation) and molecular medicine.
• Capability to provide statistical leadership to cross-functional teams.
• Either experience in using or sound understanding of the value of Bayesian methods to scientific research.
• Demonstrated strong communication skills, both oral and written.
• Demonstrated ability to work effectively as a part of a team.

• Must have strong statistical programming skills.
• Excellent communication skills with a sharp focus on the need to engage and influence scientists and explain statistical techniques and considerations to non-statisticians.
• Collaborative working style to work closely with research colleagues to influence the R&D plans of functional teams and projects.

Other Information - Internal
Colleagues who are issued an Incident Final Warning (IFW) on or after January 1, 2016, are not eligible to post and compete for a position for a period of 12-months from the date an IFW is issued.

EEO & Employment Eligibility
the company is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. the company also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. the company is an E-Verify employer.

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