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Opportuntiy: Systems Chemical Biology -- Associate Scientist, Post Doc Fellow Cheminformatics @ Merck -- West Point, PA (US)
Submitted by Joshua Nelson; posted on Thursday, January 30, 2014
BACKGROUND
Merck is a global health care leader with a diversified portfolio of prescription medicines, vaccines and consumer health products, as well as animal health products. Today, we are building a new kind of healthcare company - one that is ready to help create a healthier future for all of us.
Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of people like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you'll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.
Be a part of the legacy: MRL Postdoctoral Research Fellow Program
The Merck Research Laboratories (MRL) Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.
OVERVIEW
As a postdoctoral fellow in Cheminformatics you will be working at the interface of computational biology and computational chemistry developing and applying methods to propose testable hypotheses of drug mechanism of action, secondary pharmacology and adverse effects. This work will be done in partnership with experienced computational scientists and experimentalists.
RESPONSIBILITIES
Responsibilities include but are not limited to:
- Developing, deploying and publishing computational methods focused on gaining a better understanding of how compounds interact with biological targets and how interacting with those targets perturbs biological systems
- Strong emphasis on leveraging external linked data with internal data to solve specific questions of drug mechanism of action and drug safety
- Utilization of the developed methods for biological target identification and compound design
REQUIREMENTS
Education Requirement:
- PhD in Chemistry, Pharmacology, Computational Biology, or related field by May 2014. Required Experience and Skills:
- Demonstrated proficiency in computational chemistry, cheminformatics and computational biology methods
- Advanced knowledge of data-mining, machine learning and statistical modeling techniques
- Working knowledge of pharmaceutical discovery process Preferred Experience and Skills:
- Ability to work in a multidisciplinary team based environment
- Strong communication skills as demonstrated by publications in peer-reviewed journals and scientific meeting presentations
- Track record of innovative research combining methods from multiple sources to solve complex problems
COMPENSATION
Our employees are the key to our company's success. We demonstrate our commitment to our employees by offering a competitive and valuable rewards program. Merck's benefits are designed to support the wide range of goals, needs and lifestyles of our employees, and many of the people that matter the most in their lives.
POLICY
Merck is an equal opportunity employer, M/F/D/V - proudly embracing diversity in all of its manifestations. Former Military, Transitioning Service Members, National Guard & Reserves - We value your past and present service.
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