Postdoctoral Research Fellow – Digital Pathology

Palo Alto, CA, US
January 19 2018
Organization Type
Requisition ID: POS000225

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. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Merck is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Today, we’re doubling down on this goal. Merck Research Laboratories is a true scientific research facility of tomorrow, and will take Merck’s leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases. 
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. Position Overview:
The Department of Profiling and Expression at Merck Research Laboratories, Palo Alto, CA is seeking a post-doctoral fellow with experience in developing image analysis algorithms, to support translational research, biomarker development and discovery biology for candidate biological pharmaceuticals in immune-oncology. The successful candidate will help create and implement the next generation of knowledge discovery tools, by developing cutting-edge machine learning algorithms to extract decision making signals from digital brightfield and fluorescence images of FFPE fixed patient tumor samples. Our group routinely collects multi-terabyte multiplex image data sets and the successful candidate will contribute to the design and building of production image acquisition/analysis workflows capable of interacting with sets of tumor sample images at scale. The position will require experience in the rapid prototyping and testing of existing/novel convolutional neural network designs. Experience with light-microscopes or their digitized images is a plus.   Responsibilities include but are not limited to:
  • Evaluate existing and emerging convolutional machine learning approaches.
  • Develop and test proof-of-concept algorithm prototypes.
  • Deliver production quality customized analysis algorithms with appropriate QC visualization workflows.
  • Work with our Pathologists, scientific end-users, mathematicians and statisticians to improve and refine existing analysis and visualization tools. 

Education Minimum Requirement: 
  • PhD with less than 3 years of Postdoctoral Experience or achieved a  PhD by Spring/Summer of 2018 
Required Experience and Skills:
  • Python, Matlab or R programming skills and experience using relevant libraries (e.g. numpy, scipy, openCV, scikit-image and similar) 
  • Distributed computing experience either on local cluster or using cloud services
  • Experience in design and optimization of convolutional neuronal networks. Ideally in the image analysis domain 
  • Knowledge of state of the art machine learning algorithms (e.g. Bayesian learning, convnets) graph analysis (e.g. random walk, gradient decent) and statistical modeling (e.g. hypothesis testing, dimensionality reduction)
  • Proficiency in standard data analytics toolkits in Python, Scala or R
 Preferred Experience and Skills
  • Strong background in computer science and or related field.
  • Deep understanding of current machine learning technologies with image analysis/computer vision application
  • Familiarity with neural network techniques (batch-norm, residual connections, inception modules, etc)
  • Experience with neural network libraries
  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. 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

Job: Post-Doctoral Fellow
Other Locations:
Employee Status: Regular
Number of Openings: 1
Shift (if applicable):
Hazardous Materials:
Company Trade Name: Merck

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