Scientist II – Mass Cytometry (REQ1093)

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Scientist II - Mass Cytometry

Job ID: req1093
Facility: Frederick: Ft Detrick
Location: PO Box B, Frederick, MD 21702 USA

The Frederick National Laboratory is dedicated to improving human health through discovery and innovation in the biomedical sciences, focusing on cancer, AIDS, and emerging infectious diseases.

Position Overview:


The Cancer Research Technology Program (CRTP) develops and implements emerging technology, cancer biology expertise and research capabilities to accomplish NCI research objectives. The CRTP is an outward-facing, multi-disciplinary hub purposed to enable the external cancer research community. A major focus of the CRTP is the NCI RAS Initiative with the goal to discover new therapeutic interventions against RAS-driven cancers. In addition, the CRTP hosts the Nanotechnology Characterization Laboratory (NCL) which performs and standardizes preclinical efficacy and toxicity testing of nanoparticles intended for cancer therapeutics and diagnostics, and the Antibody Characterization Lab (ACL) which characterizes monoclonal antibodies or other renewable affinity binding reagents for use in cancer related research. CRTP scientists also work collaboratively with intramural NCI investigators to provide research technologies and expertise.


SPI is seeking an experienced researcher at the Scientist II level to support a newly established High Content Imaging Facility at the Frederick National Laboratory for Cancer Research. The program operates a number of advanced, specialized instrumentation platforms for image analysis of tumor biopsies and circulating tumor cells for measuring drug biomarker responses in patients and in relevant preclinical models. We are looking for a self-motivated and proactive individual interested in cutting-edge technology. The successful candidate will support implementation of Imaging Mass Cytometry (IMC) in support of basic and translational research initiatives. The Scientist II should demonstrate personal leadership within the group, scientific leadership both at the bench and at computational data analysis and be adept at multi-tasking. Special consideration will be given to candidates with emphasis in oncology and/or immunology backgrounds.

The Scientist II will:
  • Assist in the design, development, and validation of IMC assays
  • Lead efforts to identify, evaluate, and implement image analysis technologies and methodologies for processing and quantitation of multiplexed IMC images using commercial and open-source software packages
  • Apply analytic methods to phenotype cells, and to quantitate and spatially characterize molecular targets within tissue
  • Ensure management of image database
  • Assist in IMC sample preparation and data acquisition when necessary
  • Collaborate with R&D researchers to promote innovation, and to develop high-quality assays and analysis workflows
  • Analyze, interpret and effectively present data at team meetings and participate in generation of technical reports

  • Possession of a Doctoral degree from an accredited college or university appropriate to biomedical research (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency
  • In addition to educational requirements, candidates should have a minimum of two (2) years of competent, innovative research experience beyond doctoral training in a related field of specialty
  • Proficiency in developing test or production methods or protocols in an applied area; demonstrated ability to manage a production operation or a segment of a specialized service area
  • Candidate should have made contributions by independently producing research work of originality, soundness, and value as a significant contributor in the field by authoring and co-authoring publications in peer-reviewed scientific journals and by presenting papers before national professional societies
  • Must be able to obtain and maintain a security clearance

  • Expertise in image processing, analysis, clustering and classification techniques, segmentation strategies, and data visualization
  • Expertise with quantitative image analysis tools such as ImageJ, Definiens Developer, Visiopharm, MATLAB, or others
  • Knowledge of programming techniques to categorize and analyze data sets, facilitating quantitative processing and interpretation of highly multiplexed images
  • Proficiency in an Object-Oriented programming language such as Java, Python, C++ or others
  • Proficiency in any of R, MATLAB, SAS, or STATA
  • Prior experience with IMC, mass cytometry, or flow cytometry is desired
  • Experience with antibody assay development
  • Experience with tissue and blood sample handling, and immunohistochemistry (IHC) techniques, microscopy and/or pathology experience are a plus

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

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