(US-Illinois) For more than a century, our client has been working to advance health care for people around the world. They have evolved into a diversified health care company that discovers, develops, manufactures and markets innovative products and services that span the continuum of care from prevention and diagnosis to treatment and cure. They provide total integrated solutions across the health care spectrum for some of the worlds most prevalent medical conditions, including AIDS, cancer and diabetes. Our client, a major pharmaceutical company in Lake County, IL is looking for a Clinical Application Specialist II - B with the following qualifications: REQUIRES 3-5 YEARS EXPERIENCE Generate tables, listings, and graphs for compound projects. Responsible for the validation and quality assurance of any output produced. Generate and review validated table, listings, and graph output meeting the needs of Clinical Projects. Prefer candidate with SAS program and clinical experience. BS Preferred. You MUST meet all of the above qualifications in order to be considered for this position. You MUST be either a US Citizen or a Green Card Holder in order to be eligible for this position. Unfortunately, at this time we CANNOT work with third parties or relocate anyone.
(US-North Carolina-Raleigh/Durham-RTP) Incumbent will develop, validate and apply new computational tools to integrate and analyze disparate chemical and biological data streams relevant to studies in biomarker discovery, target discovery and drug discovery. ·Responsible for developing and applying new computational tools for the integration and analysis of disparate chemical and biological data streams relevant to studies in biomarker discovery, target discovery and drug discovery. ·Provide guidance in defining a research agenda which would include: computational approaches for biochemical profiling, gene expression profiling, functional/structural annotation of metabolites and biochemical pathway analysis. ·Use of data mining tools for analysis and mining of integrated data sets as a basis for understanding biochemical pathways leading to understanding of biological function. ·Provide computational biology, biomedical, and biochemical expertise for internal and collaborative disease focused research efforts enhancing the study of biomarkers, drug targets, lead compounds, and predictive medicine. ·Participation in the design and implementation of specialized computational analysis tools to support metabolic profiling, transcript profiling and pathway linkage. ·Working with collaboration teams and other data suppliers to encorporate outside data into Paradigms integrated platform. ·Determine best methodology for utilizing multiple data streams in biomarker, target and drug discovery research programs. ·Provide domain knowledge in predictive toxicology studies. ·Research current knowledge in predictive toxicology in relation to target areas of interest to Paradigm and report on such knowledge for application to research agendas. ·Contribute to written reports on efficacy and toxicity aspects of studies. ·Ph.D. Degree in Biology, Chemistry, Mathematics, Statistics or related field preferred. ·Minimum 4 to maximum 7 years of pharmeceutical/biotechnology research experience. ·Proven track record of productivity in the application of data mining and informatics techniques to the integration of chemical and biochemical data. ·Experience in a team-oriented pharmaceutical or biotechnology company environment. Skills and Abilities ·Experience in the application of computational methods in life sciences / biotechnology. Particularly biomarker, target and drug discovery. ·This will require subject matter expertise related to biology, biochemistry, and/or toxicology. ·Expertise developing, implementing and validating novel computer algorithms designed to organize, mine and visualize chemical, biological and pathway data. ·Requires computer-related skills including knowledge of scripting, data handling, data analysis, and data management and/or visualization methods. ·Ability to read and interpret current biomedical research literature.
(US-North Carolina-Raleigh/Durham-RTP) Evaluate new technologies and new research in the microarray data analysis field, deploy or implement technologies at Paradigm as appropriate. ·Explore and evaluate available protein interaction databases and integrate this knowledge into evolving Paradigm databases. ·Perform routine analysis of large gene expression datasets. ·Act as liaison to an external informatics contractor. ·Experience in the analysis of gene expression data sets, possibly including new algorithm development. ·Solid familiarity with statistical methods and with computational approaches to analysis of biological systems. ·Proficiency in a scripting language (preferably Perl), knowledge of a statistical programming language, such as SAS, S+ or R, and user level familiarity with relational databases a definite plus.
