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Abbott
Research Statistician for Drug Discovery, Pre-Clinical and Clinical Biomarker Research
Location: Abbott Park,
Illinois
60064
Posted on:
10/20/2009 3:50:00 PM
Postion type:
Full time
Job Code:
69738BR
Required Education:
Doctorate
Salary:
DESCRIPTION
At Abbott, we provide the perspectives and experience necessary to translate science into real solutions for patients in over 130 markets worldwide. Today, 72,000 Abbott employees are doing work that matters.
CORE JOB RESPONSIBILITIES:
- Statistical support for some or all of the following applications: High Throughput Screening (HTS), Chemo-Informatics modeling, In-Vitro and In-Vivo pharmacology assays and studies, Genomics (high throughput gene expression arrays, CGH arrays, next generation sequencing, microRNA, etc.), Proteomics, Imaging, and other biomarker data generated from pre-clinical and clinical studies, Assays used for biomarkers, pharmacokinetics and immunogenicity evaluations in preclinical and clinical studies, and general methodological research on related topics.
- Develop new relationships and maintain existing working relationships with statisticians, clinical and discovery scientists, and personnel from other areas within the company and from external institutions when communicating/collaborating on various projects.
- Maintain and develop further expertise in the use of UNIX utilities, R, SAS, JAVA, Perl, JMP, VB and other programs specifically developed for the section and continue development of such utilities/macros to improve process, as well as maintaining appropriate documentation.
- Provide consulting services for (and/or collaborate with) other statisticians on various statistical methodologies and statistical computing in R, SAS, etc. Proactively seek input and review from other experts within the group and outside on various projects and research activities, and share technical information when appropriate.
- Responsible for identifying opportunities for productivity improvements and formulating implementation plans.
Position can be filled commensurate based on candidates experience level.
Through numerous local, national and international accolades, Abbott is regarded as an employer of choice for our commitment to workplace excellence. Our employees are given the tools to succeed, lead and grow, with challenging opportunities and work that makes a difference. Through our diverse healthcare businesses, we connect people and potential in ways that no other company can.
Discover a world of opportunities at Abbott.
EEO - At Abbott, we believe that diversity drives innovation. Innovative thinkers who are passionate about the work they do, Abbott employees are representative of the diversity of the patients we strive to serve every single day across the globe.
If interested, please apply online at http://track.jobviper.com/ViewJob.asp?id=648010-188-9587
REQUIREMENTS:
Basic Qualifications:
- PhD 0-3 years of related experience with demonstrated excellent skills/accomplishments as a statistician.
- Expertise in statistical methodologies such as nonlinear regression, mixed effects models, multivariate analysis, robust statistics, predictive modeling, machine learning methods, etc.
- Relevant school work (e.g., dissertation topic) and/or relevant academic/industry experience on topics related to drug discovery, genomics and other applications mentioned above.
- Computing skills in R, SAS and other programming languages.
Preferred Qualifications:
- Familiarity in web-based tool development, JAVA, Perl, Visual Basic, etc.
- Background in bioinformatics, biochemistry, and related subjects.
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