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Pfizer Inc.
Computational Biologist (R4/R5)
Location: Groton,
Connecticut
06340
Posted on:
9/8/2009 9:23:30 AM
Postion type:
Full time
Job Code:
RUSAPFZ4247-697217
Required Education:
Salary:
Salary commensurate with experience
DESCRIPTION
Description:
Job Duties:
We are looking to recruit a Computational Biologist for the Chemical Safety Prediction group (CSP). The CSP will develop and apply computational modeling techniques (for physico chemical properties, structure activity relationships and biological pathways) in concert with mechanism-based screening tools (cell based, in vivo biosensors and high content biology platforms) to help select the safest chemical substrate. Underpinning all of this will be a scientific focus on identifying and characterizing broad underlying biological mechanisms associated with undesired toxicity endpoints. This is an exciting new function for PGRD, with the opportunity to have a very positive and impactful contribution to the quality of our portfolio.
As a senior scientist within the Computational Lab, the candidate will design and conduct computational research projects which develop our understanding of basic toxicity mechanisms. Such research will be explored in a predictive testing approach to guide early project direction.
This position will report to the Computational Lab and will have the responsibility to utilize existing, emerging or novel test systems and technologies to build predictive models of toxicity mechanisms. Such models may include high content biology/systems biology data mining such as pathway mapping. The individual will contribute to the continued development of existing systems and approaches in one or more of these areas and seek to expand upon these through the incorporation of new technology or other quantitative prediction models or data analysis techniques. They will be expected to be able to support the delivery of these models to the appropriate groups across PGRD. They will participate in cross-line groups to assess novel models and approaches to further the development of in silico predictive systems.
Benefits:
Throughout our 153 years, a legacy of caring for others has been at the heart of everything we do at Pfizer. This commitment is no less important when it comes to our employees. Pfizer wants to ensure that employees have resources to help them develop and succeed both in their careers and personal lives. One way we can achieve this is through our comprehensive benefits program, which offers employees and their eligible dependents the variety and flexibility to help address their needs at different stages in life.
REQUIREMENTS:
EDUCATIONAL BACKGROUND:Minimum: PhD in computational sciences, computational biology or biological sciences with a concentration of training in statistics is highly desirable.WORK EXPERIENCE:Experience in data analysis and computational biology/bioinformatics work with a background in one or more of the following:Transcriptomics / Gene Expression data setsProteomicsMetabonomicsSignal transductionMolecular toxicologyThe candidate should have a:Demonstrated ability to contribute in a matrix environment.Ability to participate in multiple and diverse projects simultaneously.Demonstration of excellent computer, verbal and written communication skillsPrevious involvement in or awareness of predictive and/or mechanistic toxicology projects.DESIRABLE ATTRIBUTES:Familiarity with emerging or leading edge software platforms and analytical approaches in computational sciences.Previous participation in multi-disciplinary project teamsExperience in knowledge representation as well as modeling and inferencing technologies using both experimental data and assertions derived from text mining.Experience with using common relational database platforms ( e.g. Oracle, MySQL)Strong organizational and time management skillsGood communication (oral/written) skillsAbility to work in a matrixed environment and a team-orientated individualKnowledge of public scientific information resources (e.g. Medline, Toxnet, SciFinder)
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