Bioinformatics Lead
Location:
Cambridge , Massachusetts
Posted:
February 03, 2017
Reference:
RES001625
The Merck Research Laboratories (MRL) Exploratory Science Center (ESC) Cambridge, a wholly owned subsidiary of Merck and Co., is focused on driving early discovery research. Co-located with Merck's Cambridge Innovation Hub, the ESC's disease-area-agnostic research agenda fosters hands-on collaboration between our scientists and external academic and biotech researchers to access and explore the most promising emerging science.

Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create a fast-paced, nimble and flexible environment of mutual respect, creativity, invention and teamwork. With access to Merck's proven global R&D organization, you'll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

We are seeking an innovative, PhD level computational biologist to join the Merck Exploratory Science Center (ESC) in Cambridge, MA.
  • Successful candidate will become part of a creative and flexible team that will investigate host/pathogen interactions and the influence of the microbiome on host immunity and immune responses to novel vaccines, with the ultimate goal of delivering novel therapeutics to address significant unmet medical need in infectious diseases, cancer and autoimmune diseases.
  • The successful candidate will provide analytical and statistical support for the ESC, integrating computational modeling with quantitative experimental data to understand complex biological systems aimed at developing novel therapeutics.
  • As such, the role will sit at the critical interface between "large data" discovery platforms and systems biology and will work with a team of biologists and chemists as well as translational pharmacology to design studies and perform analyses of genetic and genomic data, with particular emphasis on data analysis of meta'omics (metagenomics, metatranscriptomics, metaproteomics and metametabolomics) of the microbiome/virome in different contexts.
  • Proven track record across a wide range of computational biologic methods, ranging from computational systems biology through computational evolutionary analyses.
  • Interact extensively with the scientific community and manage external collaborations to execute ESC strategy.



Qualifications:
Education:
  • Required: PhD in Computer Science or r elated discipline
Required Experience:
  • PhD in Computer Science, Engineering, Applied Mathematics, Biostatistics or related field
  • Strong foundation in computer science, systems biology and molecular biology
  • Proficient in PERL/python, UNIX, and statistical computing platforms (R, Matlab, etc.)
  • Experience manipulating large volume datasets
  • Strong collaboration and communication skills
  • Ability to thrive in ambiguity
  • Scientific curiosity
  • Move with speed-decisiveness and simplicity of process
Preferred Experience:

  • Research experience with the Microbiome
  • Minimum of (4) years industry and/or Postdoctoral experience


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. Our Company'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. If you need an accommodation for the application process please email us at staffingaadar@merck.com.

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and 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.

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