Digital Pathology Scientist

Gaithersburg, MD, USA
Jun 29, 2019
Required Education
Position Type
Full time
The Cancer Genomics Research (CGR) laboratory in Gaithersburg, MD, is a fast-paced, high-throughput organization dedicated to the support of molecular, genetic and epidemiologic studies for investigators at the National Cancer Institute's Division of Cancer Epidemiology & Genetics (DCEG). The Division includes over 70 principal investigators in epidemiology, pathology, genetics, and biostatistics who conduct epidemiologic research to discover the genetic and environmental determinants of cancer, and new approaches to cancer prevention. The Molecular and Digital Pathology Laboratory at the CGR supports the generation of comprehensive data on histological and molecular profiling of tumors and their precursors to identify environmental and germline risk factors for cancer through integrative analytics. We are seeking a highly motivated scientist to join the MDPL team at the CGR and provide support to DCEG investigators, specifically.

  • Quantitative and qualitative image analysis, including training of algorithms provided by software manufacturers to most accurately identify sub-cellular staining patterns and tissue recognition features for external and internal projects
  • Development of new algorithms and new analysis methodologies in consultation with technology providers, DCEG pathologists and investigators
  • Design and execute comparative experiments including preliminary QC and analysis of results
  • Ensure proper documentation of all experimental and analytical processes
  • Independently create training documentation and provide training to DCEG researchers and external collaborators on the use of the instrumentation and its associated software.
  • Contribute to the writing of scientific manuscripts with CGR and DCEG scientists, where image analysis has been performed.

  • Possession of a bachelor's degree from an accredited college/university in a field related to biomedical research or four (4) years equivalent experience in the appropriate field in lieu of degree. Foreign degrees must be evaluated for U.S equivalency. Advanced degree (Masters or PhD) preferred.
  • A minimum of two (2) related experience
  • Demonstrated knowledge of imaging software algorithms (for nuclear, cell surface, cytoplasmic and microvessel density) as well as understanding of the scientific validity of the analysis, statistical analysis and recognition of tissue features.
  • Experience with multiplex immunofluorescence imaging
  • Strong skills in Excel, Tableau/Spotfire (or other data reduction software).
  • Good understanding of database organization and structure.
  • Ability to organize results into clear presentations and concise summaries of work, in formats useful for scientific interpretation
  • Experience with sample tracking and running workflows with laboratory management systems (LIMS)
  • Must be able to obtain and maintain a security clearance.

  • Slide imaging experience on a Leica AT2 and Zeiss Axioscan (or equivalent)
  • Familiarity with high plex and spatial imaging technologies (Nanostring GeoMx, Akoya Codex, 10X Genomics, mass spectrometry or CyTOF-based etc.) assays
  • Familiarity with use of AI based methods to support automated image analysis
  • Strong understanding of statistics and appropriate applications (paired t-test, PCA, Z')
  • Coding experience preferred (VBA, Python, R, SQL)

Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)