Work closely with research scientists seeking to discover new medicines in a variety of therapeutic areas
Supporting the design and analysis of preclinical experiments covering all aspects of drug discovery from disease target identification, pharmacology studies, animal model development, biomarker development and demonstration of proof of concept.
Focus will be on both "platform" approaches (i.e. ensuring robust assay methods) as well as specific project approaches.
Collaborate with preclinical scientists across research units (Immunology and Inflammation, Internal Medicine, Rare Disease, CTI) to design, analyze and present experiments.
Bring innovative statistical thinking and methods to help drive the enhanced quantitative drug discovery and development paradigm within Pfizer.
Ensure rigorous approaches are taken to ensure good scientific practices are followed
Ensure 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.
Serve as a core member of scientific teams responsible for determining strategy and delivering results in a timely and high quality manner.
Work with scientists to understand the biology and improve existing biomarkers, endpoints, derive new endpoints, and develop 'fit-for-purpose' statistical models.
Use statistical expertise to prepare both internal and external reports, presentations and manuscripts, with the aim to improve the quality of internal decision making and increase our influence on the external environment.
Standardize processes and methodologies within and possibly across therapeutic areas may include developing statistical tools to aid scientists in standardize analyses.
Provide statistical expertise on regulatory submissions and ensure quality of deliverables
Early discovery and groups screen on compounds
PhD in Statistics/Bio-statistics and at least 3-5 years of pharmaceutical experience preferred
OR a MS in Statistics/Bio-statistics and at least 5-8 years of pharmaceutical experience
BS in Biology (Genetics preferred) with several years of relevant experience
Background in Biology or Chemistry (Biology preferred)
Strong pre-clinical and non-clinical experience is required
Must have strong technical competence.
Capability to provide statistical leadership to cross-functional teams.
Sound understanding of design of experiments, assay development, and statistical applications for preclinical research
Interest in biology, graduate level training preferred.
Good knowledge of drug development regulations pertinent to statistical analysis
Good computational skills in SAS, R, or S-Plus preferred
Be a mix of a Statistician and Biologist
Genuine interest in understanding drug target biology in order to provide effective statistical consultation with biological scientists.
Understand the "language" of biologists
Need to know how biological pathways work
Have published statistical papers
Motivated and experienced.
Background in non-clinical statistics, strong consulting skills, and an interest in collaborating with research scientists in drug discovery and development.
Working knowledge of GraphPad Prism, JMP, and Excel
Cell biology and culture, and in vitro assays experience
Synectics is one of the nation's foremost consulting firms, working with a client base that includes some of the leading institutions and Fortune 500 corporations in the United States. We seek to bring the most highly qualified professionals to assignments that they will find challenging and fulfilling. We also seek to justify our clients’ expectations that every Synectics consultant will bring the highest possible effort to their endeavors every day. Our success has depended on our consistent ability to achieve both of these goals.
Synectics serves an extremely diverse client base which represents an equally diverse range of industries and institutions. The technologies we support have always been responsive to this extremely broad spectrum. In order to fully engage with this continually changing commercial and technological landscape, our employees must draw on their own varying interests, skills and backgrounds. This insight, reflected in our daily practices, has always been our fundamental strength as a company, and it continues to serve us well in all our efforts.
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