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AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott Laboratories. The company's mission is to use its expertise, dedicated people and unique approach to innovation to develop and market advanced therapies that address some of the world's most complex and serious diseases. AbbVie employs approximately 28,000 people worldwide and markets medicines in more than 170 countries.
Description
At AbbVie, our vision is to be recognized as a biopharmaceutical company delivering a consistent stream of innovative medicines that solve serious health issues and have a remarkable impact on people’s lives.To be successful, we need outstanding individuals willing to challenge themselves to find the best solutions for our patients. The AbbVie Postdoc program is one way we are doing just that .
Through our Postdoc program, we are hiring postdocs from key academic institutions for preferred areas of science in the U.S., while providing a unique opportunity for participants to build a solid career foundation in the pharmaceutical industry while building the AbbVie brand as an employer of choice for scientific talent.
The program offers a balance of structured learning and work experience, with accessibility to high-level knowledge building across the drug development continuum to help participants understand how everything fits together and is put into practice. It also provides them with a chance to establish working relationships with some of the world’s most respected scientists and leaders in the industry.
Participants in the Postdoc program play an integral part in our continued success and will help us to further grow as a leader in our industry.
We have an exceptional Postdoctoral position in our Global Translational modeling & Simulation Group based in North Chicago, IL.
Mission Statement:
A large body of cellular and molecular biology data is generated to provide clues to the causal mechanisms driving disease and patients variability in response to therapy. The challenge is to systematically translate these data to inform the key decision in drug discovery and development. Integration of these cellular and molecular profiling data into predictive mathematical systems biology and pharmacology models holds promise to provide a quantitative predictive understanding for cause of disease, value of novel therapies, resistance mechanism of action, and the signature biomarker patterns to identify these subpopulations and predict patient response.
The project’s aim is to develop a mathematical in silico modeling platform that integrates AbbVie’s disease model with cellular and molecular profiling data sets from relevant in vitro and in vivo cancer models, quantitative physiological changes occurring at the cell and tissue level, and link that to efficacy/response profiles from clinical trials.
Key responsibilities include:
- Conduct the bioinformatics analysis on the cellular and molecular biology data to connect to the disease model.
- Incorporate literature based disease-related biological studies to inform parameterization of the functional variations at the cellular and tissue level.
- Establish quantitative system’s pharmacology/biology models for various therapeutic targets in oncology
- Evaluate patient selection biomarker based on the established disease model.
- Identify and evaluate efficacy biomarker and resistance mechanism based on the established disease model.
- This effort will build a bridge between systems biology (SB) and systems pharmacology for various cancer indications. The fellow will be exposed to systems pharmacology and systems biology approaches as well as statistical genetics, genomics, and proteomics, thereby bridging these fields in a pharmaceutical industry setting.
Equal Opportunity Employer Minorities/Women/Veterans/Disabled
Qualifications
Basic:
- PhD in bioinformatics / chemical engineering
- Cancer research background/experience is highly desired
- Successful completion and defense of a Doctorate of Philosophy (PhD)
- Record of Publication in a well-recognized journal(s)
- Graduate of accredited and nationally ranked university
- Must be authorized to work in the U.S.
- Most current C.V.
Preferred:
- Knowledge of the Oncology Therapeutic Area
- Knowledge of Bioinformatics (statistical modeling, data interpretation). Graduate of accredited and nationally ranked university
- Provide a narrative on why your academic training would qualify you for this position and why you have a sustained interest in this program
- Provide three letters of recommendation, one at least from your PI, and preferably, one from a member of the thesis committee
- Excellent problem-solving skills
- Excellent communication, leadership, and project management skills
- Proven track record of teamwork, adaptability, innovation, initiative, and integrity
- Global mindset to thrive in a diverse culture and environment
Key AbbVie Competencies:
- Builds strong relationships with peers and cross functionally with partners outside of the team to enable higher performance.
- Learns fast, grasps the “essence” and can change the course quickly where indicated.
- Raises the bar and is never satisfied with the status quo.
- Creates a learning environment, open to suggestions and experimentation for improvement.
- Embraces the ideas of others, nurtures innovation and manages innovation to reality
