Image Analyst - Machine Learning

Company: Frederick National Laboratory for Cancer Research
Location: Frederick
Posted on: February 1, 2026

Job Description:

Image Analyst - Machine Learning Job ID: req4464 Employee Type: exempt full-time Division: Cancer Research Technology Program Facility: Frederick: ATRF Location: 8560 Progress Dr, Frederick, MD 21701 USA The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION At Frederick National Laboratory, the Cancer Research Technology Program (CRTP) is a multi-disciplinary hub where emerging technologies, biological expertise and research capabilities are developed and implemented in collaboration with intramural National Cancer Institute investigators and other researchers. Within the CRTP is CCR Volume Electron Microscopy (CVEM); in our group, scientists work in a highly collaborative environment to develop and deploy cutting-edge technologies for high-resolution 3-D volume electron microscopy (volume EM) and correlative microscopy (CLEM) of cells and tissues with research and/or clinical relevance. Our group works on innovations in sample preparation, imaging strategies, image processing, and data visualization, analysis and handling. We have released DL models for segmentation of sub-cellular features like mitochondria and nuclei. Our open-source napari plugin empanada (https://empanada.readthedocs.io/en/latest/index.html) is widely used in the vEM community for DL-aided image segmentation. KEY ROLES/RESPONSIBILITIES Working at a cutting-edge imaging lab in a national laboratory environment, the applicant will create solutions to visualize and quantify features of interest from 2D and 3D electron microscopy (EM) datasets. Apply machine learning and deep learning (ML/DL) algorithms for image classification and segmentation to aid discovery and hypothesis generation/testing in a variety of disease settings. Research and develop ML/DL approaches to recognize features from large-volume, high-resolution EM images of cells and tissues Adapt and apply existing image processing workflows to EM data to deliver visual and quantitative results to collaborators Handle large image data and track project metadata robustly Clear documentation and resilient workflows that can work on local workstations and NIH clusters BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: Possession of Bachelor’s degree in computer science, vision science, or a closely related field from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency In addition to the education requirement, a minimum of two (2) years of professional experience in machine learning and image analysis is required Fluent in using Python, and ease with libraries for neural network applications (PyTorch) and computer vision Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: Demonstrated experience with image processing applications, with a record of open-source solutions on Github Demonstrated experience in machine learning approaches and latest image processing techniques Experience with application development using high-level languages Experience with high-performance computing environment Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 58,200.00 - 83,353.00 USD The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions

Keywords: Frederick National Laboratory for Cancer Research, Annandale , Image Analyst - Machine Learning, Science, Research & Development , Frederick, Virginia