Pfizer Senior Manager, Early Clinical Development, Nonclinical Statistics in Cambridge, Massachusetts

A career at Pfizer offers opportunity, ownership and impact.

All over the world, Pfizer 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. Pfizer, 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.

Responsible for ensuring sound statistical thinking and methods are utilized in the design, analysis, and statistical interpretation of studies focused on genetics and 'omics within Pfizer's research units. Studies will support drug target discovery, target validation and confidence in rationale, and precision medicine in early stage trials.

• Collaborate with various scientists in the design, analysis and reporting of genetics and 'omics analyses on both clinical and epidemiological data, including statistical interpretation of published or internally generated results in order to inform decision-making

• Core member of scientific teams responsible for determining strategy and delivering results in a timely and high quality manner.

• Interact with pharmacogenomics lead and external experts to assure sound quantitative approaches are applied to data collection and analysis.

• Supervise and execute biomarker studies in early stage clinical trials.

• Provide mentoring and guidance to statisticians within Pfizer's research division on aspects of pharmacogenomics in clinical trials.

• Ensure rigorous approaches are taken to ensure good scientific practices are followed: excellent statistical methods utilized and documented in protocols, analysis plans and manuscripts, and assay methods are appropriately blinded, randomized and designed to meet clear objectives.

• Integrate genetics across clinical trials in order to make inferences related to personalized medicine, using appropriate meta-analysis techniques

• 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.

Scientific Qualifications

• MSc in Statistics (PhD preferred), or demonstration of sufficient statistical training to be successful in the position, including experience or academic training in statistical genetics,

• At least one full year experience applying statistical methods to the p

rospective design and analysis of scientific and/or clinical problems. Pharmaceutical or biotech applications desired.

• Experience working with clinical trial data on multiple projects.

• Demonstrated understanding of GWAS and sequence-based analysis.

• Familiarity/expertise in meta-analysis and potential issues surrounding combining results from different studies, both from a design perspective and in terms of subject ascertainment.

• Experience running simulations and mixed models.

• Experience with multivariate statistics and statistical methods to quantify uncertainty in multi-dimensional data, and with QC procedures for GWAS and sequencing data.

• 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.

Technical/Computational Skill Requirements

• Must have R and SAS programming skills and familiarity with a Linux/UNIX environment

• Knowledge or proficiency in PLINK, ability to use genetic imputation software such as MACH or IMPUTE, and awareness of the latest techniques in sequence-based analysis and other genetics tools will be extremely helpful

• Must be able to explain statistical techniques and considerations to non-statisticians

Pfizer 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. Pfizer 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. Pfizer is an E-Verify employer.

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.A career at Pfizer offers opportunity, ownership and impact.

All over the world, Pfizer 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. Pfizer, a global leader in the bio-pharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.