About the Company
SimHawk is a pioneering ultrasound simulation startup developing a unique platform that helps physicians and ultrasound technicians diagnose patients accurately and professionally. We believe in creating a community, an archive of physicians around the world who want to explore the world of ultrasound through medical simulation to bring better health to the world. Our team develops complex application software for our digitized software solution. Our services vary in nature, platform, scope, and technologies used. Join our startup culture and take part in the development and implementation of our digitized ultrasound simulation software platform
About the Role
What will you be doing?
This role is a unique opportunity to combine expertise in computer science, machine learning, and medical imaging to make a real impact on the healthcare industry. The successful candidate will play a key role in developing new AI-powered solutions that can improve diagnosis, treatment planning, and patient care.
Therefore, we are looking for a highly skilled and experienced lead developer with a strong background in image processing and artificial intelligence (AI). The ideal candidate will have a proven track record of developing, implementing, and optimizing AI algorithms and technologies for medical imaging applications.
If you are interested in joining a growing, dynamic, and successful startup where besides a wild ride you will be using the latest frameworks and technologies and help shape the world of physicians.
Responsibilities
Algorithm Development:
Research, design, and develop AI algorithms and models for medical image analysis, interpretation, and processing.
Create deep learning models, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other machine learning architectures tailored to medical imaging data.
Data Preparation:
Collaborate with medical professionals to collect and preprocess medical imaging datasets, ensuring data quality and compliance with regulatory standards.
Implement data augmentation and normalization techniques to enhance model performance.
Model Training and Optimization:
Train and fine-tune AI models using large-scale medical image datasets.
Optimize models for accuracy, sensitivity, specificity, and robustness.
Address issues related to overfitting, bias, and generalization.
Integration:
Integrate AI algorithms into existing healthcare systems, Picture Archiving and Communication Systems (PACS), or radiology workflow for seamless adoption by healthcare professionals.
Collaborate with IT teams to ensure system compatibility and security.
Evaluation and Validation:
Perform rigorous testing and validation of AI algorithms, comparing their performance to existing clinical standards.
Ensure compliance with regulatory requirements, such as FDA guidelines for medical software.
Collaboration:
Collaborate with cross-functional teams of radiologists, clinicians, data scientists, and software engineers to drive AI-based projects.
Communicate effectively with non-technical stakeholders by translating technical concepts into actionable insights. What are we looking for?
Ph.D. or Master's degree in computer science, biomedical engineering, or a related field with a strong background in machine learning, deep learning, and computer vision - a must!
Extensive experience with medical imaging modalities, with a particular focus on ultrasound.
Proficiency in programming languages such as Python and knowledge of popular libraries and frameworks, including TensorFlow, PyTorch, and MONAI.
Experience with 3D imaging.
Familiarity with medical image analysis software and tools, such as DICOM and PACS.
Knowledge of healthcare industry regulations and standards, such as FDA and HIPAA.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills to collaborate with medical professionals and explain technical concepts to non-technical stakeholders.
Problem-solving skills, and out-of-the-box thinking.
The key qualifications for this role are a strong understanding of AI and medical imaging, as well as the ability to apply these technologies to improve healthcare. The candidate should also have experience with a variety of medical imaging modalities, as well as knowledge of the regulatory and ethical considerations in healthcare.
Details of relevant experience must be provided. Applicants are expected to be thorough and detailed on these topics. References should be provided for the next step after an interview.
Interpersonal Qualifications
Can-do attitude, passion for quality, and a structured approach towards testing.
A team player, but also very independent, with good communication skills.
Takes strong initiatives and is highly result-oriented.
Experience in solving complex problems and troubleshooting.
Proficiency in written and spoken English.
Our office is located in Petch-Tikva. The workspace would be in the office.
We are an equal-opportunity employer and do not discriminate based on age, disability, gender, marriage, civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or union membership.