The department of Bio-Medical engineering in Tel-Aviv University is seeking a data analyst to work on several data-science projects with students and with medical institutes. The new member of our team would participate in several research projects to push the state of the art in healthcare and the state of the art in machine learning.

Requirements:

• 3 years programming experience in Python or R
• Experience working with databases (SQL)
• Great interpersonal skills
• Great problem-solving skills
• Self learning and self motivated
• Advantage: experience working with healthcare related data

Additional Skills:

A candidate with Ph.D. in Computer Science or Engineering with 5 years of more experience in machine learning will be able to take additional roles in leading research projects and teaching ML and DL classes.

Quai.MD is looking to recruit a senior AI developer.

Quai.MD is a groundbreaking Digital Health Startup, developing a unique AI-based platform to help doctors diagnose patients accurately in real time. Our platform will be deployed in pilot studies in major US hospitals, and integrated with their EMR systems for real time execution (funding and contracts are already in place).

We are looking for an outstanding and experienced developer to join us and work closely with our CTO on developing our proprietary AI technology.

This is a unique opportunity to join the founding team at an early stage, and take a major responsibility in our platform  development, with the opportunity to grow into a significant role in the company.

Key Responsibilities:

• Lead the implementation of our proprietary AI engine, working closely with our CTO
• Help structure the platform technology stack and the initial development processes
• Work closely with our Backend team to create a fully integrated solution
• Work closely with the founding management team and our first customers to ensure product/market fit

Relevant Experience:

• SW development of AI/ML applications using a variety of technologies and engines (such as, but not limited to: NLP, DNN, Decision Trees, etc.)
• Proved experience in hands-on technical leadership
• Background in Computer Science and SW architecture (algorithms, complexity, performance, scalability, etc.) and proved experience in applying those to real-life problems

Job description:

• Develop AI powered Pathology and radiology tools to improve accuracy of cancer detection, classification, and treatment outcome.
• Develop and assess machine and deep neural network models in digital pathology and radiology data.
• Integrate medical imaging datasets spanning multiple modalities and develop computational solutions for clinical data analysis automation.

Job requirements:

• Strong Python coding skills
• BSc in computer science, engineering, statistics or related field
• Expertise in deep learning
• Expertise in Computer vision– an advantage
• Experience in AI libraries including tensorflow or pytorch – an advantage

A cancer patient wants to know that their diagnosis and treatment are determined with the greatest precision, and preferably using the most advanced technology.  At Nucleai, we bring cancer patients cutting edge AI-based technology, by improving biopsy interpretation with machine learning and by creating novel precision medicine technology. Come and join our team of experienced AI engineers and world-renowned clinicians, and help us make a difference.

RESPONSIBILITY

Lead the development of machine learning and statistical algorithms that predict patient response to drugs.

Engage closely with our pharma clients – defining analysis goals and presenting results.

Work with clinical trial data as well as real world evidence, curated from leading medical institutions. You’ll be dealing with multiple data modalities such as: pathology images, genomics, clinical data, and more

REQUIREMENTS

A minimum of 5 years of experience in data science / statistics / bioinformatics is required.

Heads on experience working with Python / R.

"Gets the job done" attitude. Proven track record of success in managing complex projects.

Startup experience is a must.

Communication – excellent English skills, capable of interacting with pharma researchers – essential

Background – a solid understanding of at least one of the following fields: biology, bioinformatics, oncology – advantage

Job Description:

You will take part in development and implementation of state-of-the-art algorithms and models for classification of neurophysiological (EEG) and visual data.

Responsibilities:

· Development and implementation of system core algorithms in the fields of classification, signal processing and computer vision

· Research and evaluation of advanced algorithms to be integrated into future InnerEye products

· Performance analysis and optimization of existing products

· Supporting ongoing and future projects and research activities

Qualification:

· B.Sc /M.Sc graduate or M.Sc student (last year) in Electrical Engineering/ Computer Science/ Computational Neuroscience or equivalent

· Good understanding of machine learning methods and their mathematical foundation

· Good understanding of signal processing and time-series data

· Strong programming skills, Proficiency in Python

· Experience with deep learning frameworks (Keras, Tensorflow) and GPU programming – an advantage

· Ability to work independently and self-learn

· Good collaboration within team

Scope – 60-100% position (can be 60% for last year student)

Availability – immediate

The Signal Acquisition, Modeling, Processing and Learning (SAMPL) Lab at Weizmann Institute of Science (WIS) is looking for an experienced machine learning and computer vision expert to lead cutting-edge research in the field of medical imaging.

Experience with development of algorithms for medical imaging, use of image processing tools, computer vision, ML, state-of-the-art AI algorithms and deep learning frameworks (PyTorch, Tensorflow, Keras, etc.) is required.

The desired candidate will be responsible for leading the ML work within the lab. He will take part in the design of new research projects, and work with leading medical institutions in Israel and abroad.

Minimum requirements:

-MSc. in Electrical engineering / Computer Science / Bioinformatics / Biomedicine or equivalent – Master's/PHD degree is an advantage

-Over 5 years of research and development of machine learning algorithm

-Over 3 years of Python development experience

-Hands-on experience with machine learning frameworks and practical experience in developing algorithms in the field of computer vision

-Experience in building end-to-end applications based on machine learning

-Experience in working with medical data – an advantage

-Experience in leading teams of 3-7 engineers

-Matlab experience – an advantage

-Team player with an ability to function independently with minimal supervision, good interpersonal and communication skills

-Self-motivated

-Excellent skills in English – both speaking and writing

Magentiq Eye, a medical device company in Haifa, Israel, which has recently won several international awards and is in the commercialization phase of its product (has CE Mark) in Europe, and is in the home stretch of a multi-center multinational pivotal clinical study of this Artificial Intelligence (Computer Vision and Deep Learning) based product for colonoscopy, is developing the next generation of its product and is recruiting.

Requirements:

1. A degree (preferred second or third degree) in Computer Science, Electrical Engineering or Applied Mathematics.
2. Average grade 85 or higher in each of the degrees.
3. Extensive experience with Linux operating system, and Python language
4. Experience in Machine Learning, and at least two years in Deep Learning (CNN’s and similar) on images – Pytorch/TensorFlow (preference to Pytorch),
5. Experience in image processing.
6. High R&D capabilities.
7. Hands on with multi-processing and multi-threading implementations
8. Good interpersonal abilities.

Job Description:

To be a senior member (with a potential to lead) in one of the development teams in the company, and to be involved in the research, development and implementation of a deep learning based innovative medical imaging breakthrough software product, a product with CE Mark, in the home stretch of its pivotal clinical trial and which is in the stages of development of its second generation.

About us: NeuroHelp is an early-stage neurotech startup company working to improve the health and quality of life of individuals with neurological conditions. We are developing solutions for detection, prediction and preemptive alerting of epileptic seizures. Our innovative algorithms combine advanced computational models of neural dynamics with state-of-the-art machine learning. 

NeuroHelp's unique A-team has diverse expertise in theoretical neuroscience, machine and deep learning, neurotechnology, medical aspects and an experienced management team. NeuroHelp has won first places in two startup competitions: SilicoNegev and eHealth Ventures. Presently, we are based in Beer-Sheva with concrete plans to extend to the Tel-Aviv area in the first quarter of the upcoming year.

Job Description:

We are looking for a talented and motivated individual to join our elite team, which is building machine-learning-based solutions for epileptic seizure detection and prediction through EEG data. As a senior data scientist, you will learn, implement and productionize state of the art deep learning and other machine learning models. You will conduct hands-on research on EEG data, interpret the results and extract insights. The work will include analysis of features and statistical properties extracted from the EEG in order to detect drifts and trigger actions if machine-learning models become obsolete. Together with other R&D team members, you will create a continuous training infrastructure that automates retraining when new data are collected. 

As a mentor for junior R&D members, you will enforce best practices through code reviews and knowledge sharing. You will have a direct impact on the technological path of the company, working side by side with the head of the R&D team and talented brain scientists, specializing in computational neuroscience. Your work will harness interpretable and explainable machine learning models to assist patients with epilepsy and impact their quality of life.

Requirements:

• BSc/MSc in Computer science, Software Engineering or equivalent.
• Knowledge in statistics.
• Strong understanding of theory and practice behind machine learning and deep learning .
  • Classic ML algorithms: e.g. Tree-based, boosting, PCA.
  • Dimensionality reduction methods.
  • Time series analysis – including classic algorithms and contemporary temporal models.
  • Representation learning.
  • Generative algorithms.
  • Advantage: Knowledge in geometric algorithms.
• 3+ years of hands-on experience in the industry.
• Strong software development skills in Python.
• Cloud experience with AWS in orchestrating ML solutions.
• Advantage: Hands-on experience with CI/CD, MLOps and productionizing ML.
• Advantage: Hands-on experience in the healthcare and digital health industries.

About us: NeuroHelp is an early-stage neurotech startup company working to improve the health and quality of life of individuals with neurological conditions. We are developing solutions for detection, prediction and preemptive alerting of epileptic seizures. Our innovative algorithms combine advanced computational models of neural dynamics with state-of-the-art machine learning. 

NeuroHelp's unique A-team has diverse expertise in theoretical neuroscience, machine and deep learning, neurotechnology, medical aspects and an experienced management team. NeuroHelp has won first places in two startup competitions: SilicoNegev and eHealth Ventures. Presently, we are based in Beer-Sheva with concrete plans to extend to the Tel-Aviv area in the first quarter of the upcoming year.

Job Description:

We are looking for a talented and motivated individual to join our elite team which is building machine-learning-based solutions for epileptic seizure detection and prediction through EEG data. As a senior software developer, you will be part of a team designing and building state-of-the-art continuous ML training systems that overcome challenges, such as training at scale and reproducibility. This will involve using cloud infrastructure for MLOps orchestration, including data pre-processing pipelines, monitoring and model serving.

As a mentor for other software developers, you will enforce best practices, including automating CI/CD towards Continuous Training. You will have a direct impact on the technological path of the company, working side by side with the head of the R&D team and talented brain scientists, specializing in computational neuroscience. Your work will have a direct impact on the lives of patients with epilepsy worldwide.

Requirements:

• BSc in Computer science or equivalent.
• Strong software development skills in Python.
• Experience in designing, building and productionizing industry level software.
• Minimum 4+ years of experience in hands-on software development and applying best practices to real-world problems.
• Linux hands-on experience.
• CI/CD system hands-on experience (e.g. CircleCI, Jenkins, Github CI/CD, AWS CI/CD).
• Experience with version control of machine learning models and data, for enhanced reproducibility.
• Exposure to classical machine learning modeling best practices.
• Exposure to deep learning frameworks and stacks (e.g. PyTorch, Keras).
• Hands-on experience with cloud based-solutions (focusing on AWS).
• Hands-on experience with technologies for deploying applications focusing on ML (e.g. Docker, Container Orchestration, Monitoring).
• Advantage: Hands-on experience with K8s.
• Advantage: Hands-on experience in the healthcare and digital health industries.

Asensus Surgical is currently seeking an Algorithm Developer to join our growing Israel R&D center.  We are looking for an MSC/PHD student level algorithm developer to join our R&D team developing the next generation of vision-assisted robotics in the operating room.

This role will develop efficient computer vision algorithms to incorporate into the Senhance robotic system software platform. 

What You Bring 

• Msc/PhD student in computer science or electrical/biomedical engineering 
• Ability to work at least 20 hours per week at a flexible schedule.

• Proven experience in implementing modern computer vision and image processing algorithms and methods.
• Proficient in machine-learning and  deep-learning based methods for computer vision
• Experience in Python programming
• Experience with deep-learning libraries including TensorFlow/PyTorch 
• Experience with computer-vision libraries such as openCV
• Demonstrated ability to read and understand the relevant literature and research
• Team player capable of working in a multicultural and multi-disciplinary environment involving software engineers, algorithm engineers and physicians in local and remote settings. 
• Specific experience in at least one of the following is an advantage:
  • VAN/SLAM
  • 3D reconstruction 
  • Stereo imaging
  • Tracking
  • Segmentation  
• Industrial experience – an advantage
• Experience in a medical device company – an advantage
• Experience in C++ programming – an advantage
• Experience with NVIDIA software tools for implementing algorithms on GPU – an advantage

What You’ll Do 

• Responsible for the development, implementation and evaluation of computer vision and image processing algorithms
• Understand the system requirements and convert these into usable algorithmic solutions 
• Utilize existing research, literature and study of existing state of the art tools to develop best in-class solutions
• Interact with other departments including software engineers  locally and remotely in order to incorporate solutions in the Senhance robotic system