Overview:
SimBioSys is on a mission to transform cancer care, decision making, and patient experience through computational simulations. By virtualizing cancer, clinicians and patients are empowered with a better understanding of the disease and can assess all available options computationally to truly individualize treatment.
We are seeking an AI Engineer to spearhead the development and implementation of medical imaging analysis software, both using deep learning and traditional computer vision approaches.
We are seeking candidates who can contribute to the research and development of convolutional neural network (CNN) based methods for the analysis of medical imaging. The work will involve development of state-of-the-art models to virtualize tumors and develop insights using simulation and prediction algorithms.
At SimBioSys we strive to build an open, inclusive, and diverse workplace. We celebrate what makes each of us unique and pride ourselves on growing as a team. We promote collaboration, accountability, and shared learning to best serve each other and our respective communities. We are proud to be an Equal Opportunity Employer.
General Qualifications:
- You value integrity and pride yourself on doing the right thing, even when no one is watching
- You are accountable to yourself, your team, and your commitments. You aren’t afraid to admit when you make mistakes, and you use those opportunities to learn and grow
- You adapt to each situation quickly and are able to drive full ownership of your work
- You jump in and you solve problems. You are able to troubleshoot quickly, but also know the right times to ask for help
- You look for opportunities to make things better and faster (without compromising quality)
- You are compassionate and patient focused. Our company revolves around delivering an exceptional patient experience that will impact individual lives
- You are inquisitive and don’t hesitate to ask questions. You seek new opportunities to learn and grow as an individual and as a team
- You are a team player and are capable of empathizing with others. You consider yourself to have an above average “E.Q.”
About the Candidate:
- M.S. or Ph.D. degree in Computer Science, Biomedical engineering, Bioinformatics, or a related degree
- 8+ years in software development and 3+ years of experience in data science or machine learning. Experience in the medical device industry a plus.
- Understanding of statistical techniques and experience with various programming languages (Python, R, Java) for data science and machine learning.
- Broad expertise in machine learning frameworks (Keras, TensorFlow, PyTorch) including design, implementation, and considerations for performance and scalability
- Understanding of AI technologies; excellent problem-solving skills and creativity in designing prompts for complex queries
- Experience with deep neural networks (CNN or other deep networks)
- Experience with medical imaging (MRI, CT, PET, etc.) and image segmentation
- Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
- Proficiency in agile software development practices (Scrum, Kanban) to collaborate effectively with developers and engineers during production implementation of machine learning solutions
- Exceptional collaboration and communication skills, with the ability to work effectively in a team or independently
Desired Qualifications
- Prior experience with anatomy and physiology of cancer
- Prior coursework in Radiomics