ECS is seeking a Biomedical Engineer: Computational Tissue Imaging ML/AI Technical Advisor to work in our Washington, DC (Hybrid) office.
Job Description:
Are you a passionate, innovative ML/AI Scientist ready to tackle one of the biggest challenges in Computational Tissue Imaging?
Precision Surgical Interventions (PSI) aims to help all surgical procedures reach their intended goal with no errors and no need for re-operation. The program aims to develop solutions to two major surgical problems associated with the removal of a solid tumor: tumor edge visualization and critical anatomy visualization.
The PSI program, a groundbreaking initiative by the Advanced Research Projects Agency for Health (ARPA-H), seeks talented and driven Biomedical Engineers and Scientists to join our team. In this crucial role, you will serve as a scientific and technical advisor-providing support and thought leadership to the delivery team responsible for research and development for revolutionary approaches that will provide surgeons tumor edge visualization and critical anatomy visualization during a real-time operation.
About the PSI Program: Every year, nearly 2 million Americans are newly diagnosed with cancer. For solid tumors, surgical removal is often the first option but tissue visualization is a challenge. Detailed medical imaging may be available before surgery, but there are not tools that let surgeons see nerves, blood vessels, and lymph ducts during the operation. The PSI program aims to change that by supporting the development of technologies and devices to improve cancer localization, healthy structure localization, and outcomes during surgery.
What you will do:
Serve as a scientific and technical advisor for cutting-edge research projects focused on improving tumor edge visualization and critical anatomy visualization.
Facilitate the identification, development, and testing of automated solutions for in vitro digital pathology and In vivo pathology utilizing machine learning algorithms, machine/computer vision, augmented reality, and automated image classification approaches.
Facilitate the identification, development, and testing of critical structure localization and visualization utilizing real-time, augmented reality 3D solutions that are integrated into the surgical workflow.
Support program managers in the development of these new research methods, concepts, and operational processes.
Support ARPA-H performers and scientists via your expertise in machine learning and AI in support of medical imaging technologies (MRI, CT scans, ultrasound), advanced visualization software, anatomical structures, and emerging technologies in this field.
Provide strategic assessments of methods and technologies related to the development of virtualization technologies and devices for testing and optimization.
Collaborate with a diverse team of scientists, engineers, and clinicians to translate research discoveries into real-world applications.
Play a key role in supporting performers within the fields of oncology, surgery, imaging technology, and other disciplines seeking to meet the visualization needs of surgeons, in service of improved patient outcomes.
Required Skills:
Possess at least 3-5 years of experience in relevant research and development areas, including oncology, medical imaging technologies (MRI, CT scans, ultrasound), advanced visualization software, and anatomical structures.
Experience in software engineering with languages such as MATLAB, Python, Java, C/C++; proficient in ML, computer vision, and image process techniques; and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.).
Prior experience in developing image analysis algorithms and feature extraction of tissue types, and various cell types through stains and morphometric features is desired.
Prior experience with applying ML and/or deep learning tools for medical and/or cellular imaging tasks is preferred.
Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.
Demonstrated ability to conduct independent research, analyze data, and write scientific reports.
Strong communication and teamwork skills, with the ability to collaborate effectively with scientists, engineers, and oncologists from diverse backgrounds.
Passionate about innovation and driven to make a real impact on human health.
U.S. citizenship or lawful permanent residency is required.
PhD in Biomedical Engineering, Bioinformatics, Computer Science, or related discipline.
ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state, or local law. ECS promotes affirmative action for minorities, women, disabled persons, and veterans.
ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.
