RESEARCH ASSOCIATE
The Surgical Planning Laboratory (SPL) has one or more positions open for individuals who are passionate about open science, open data and open source software. Depending on skills and interests, the successful candidate(s) will be contributing to one or more of the following projects:
- Imaging Data Commons (IDC) Funded through the Cancer MoonshotSM and being a new repository of the National Cancer Research Data Commons, the IDC will house multi-modal imaging data and results of its analysis, to make them available for the use of the broad cancer research community.
- Medical Imaging Resource and Data Resource Center (MIDRC) The goal of the MIDRC is to support rapid and flexible collection, artificial intelligence analysis, and dissemination of imaging and associated data.
- National Center for Image-Guided Therapy (NCIGT) The center serves as a national resource for all aspects of research into medical procedures enhanced by imaging, with the common goal of providing more effective patient care.
By joining the team, you will become part of a major, nation-wide initiative led by the National Cancer Institute to make cancer research data more open and accessible. You will be working as part of a consortium that involves basic and clinical researchers, industry partners, software architects and engineers across the U.S. and internationally.
The SPL offers a unique translational research environment with a multidisciplinary team of clinicians, imaging physicists, computer scientists, technologists and nurses, within a state-of-the-art clinical research facility in a top academic setting. This position presents a great opportunity to interact with faculty and research staff at leading institutions, to gain practical experience of translating medical image computing technologies into a clinical research environment, to participate in publications, and to develop a professional career in medical imaging informatics. The SPL is in the Department of Radiology, Brigham and Women’s Hospital, which is a Harvard Medical School teaching hospital. Employees with a PhD degree will have the option to have an appointment at BWH and Harvard Medical School.
Principal Duties and Responsibilities
- Imaging Data Commons (IDC) Develop, maintain and document open-source software components that will support Imaging Data Commons; specifically, develop data conversion tools that will support data harmonization, implement new capabilities in the existing desktop and web-based tools to work with standardized DICOM data, develop metadata search and query interfaces, develop and deploy cloud-based processing workflows, support data harmonization efforts of the project
- Medical Imaging Resource and Data Resource Center (MIDRC) Support tasks related to harmonization of the data ingested into the resource, analyze imaging data and develop procedures to establish quality of the data, develop and maintain open-source tools to support harmonization of data and metadata
- National Center for Image-Guided Therapy (NCIGT) Develop infrastructure for curating and organizing image data, annotations, and metadata for deep learning; support users of the infrastructure; implementation of the analysis tools developed using this infrastructure
- Work with collaborators at other institutions to jointly develop and troubleshoot open-source software
- Document the requirements and specifications of software developed
- There will be opportunities to publish in peer-reviewed conferences and journals, and to develop innovative analyses of imaging data
- Support training and outreach activities of the project
Qualifications
- MS or PhD in computer science, biomedical engineering, or a related field, with emphasis on biomedical image analysis
- Applicants with relevant experience and BS degree will be considered
- Demonstrated software development expertise (e.g., active GitHub account, successful project, or documented open-source contributions)
- Enthusiasm for programming, learning, problem solving, and tracking technology trends
Skills/abilities/competencies
- Excellent communication and academic writing skills
- Proven ability to work well on a team
- Development skills in Python, JavaScript, C++, SQL
- Experience with cloud computing, containerization technologies, and/or DevOps administration is a strength
- Demonstrated contribution to open-source projects is highly desirable
- Experience with medical imaging and data visualization
- Experience with the DICOM standard is a major strength
- Experience with Google Cloud Platform is a major strength
- Experience with Unix/Linux systems is desirable
Salary will be offered based on past experience and relevant skills.
Contact
Interested applicants should email Andrey Fedorov. Along with their CV, applicants should include a cover letter describing why this position is of interest, and how their past experience suits its requirements.