At Sight Diagnostics, we aim to improve health through fast and accurate diagnostic testing. We have successfully built our Sight OLO device which performs complete blood count (CBC) based on our own scanning hardware, computer vision and machine learning algorithms. We are now building on our vast experience to extend our capabilities to new and exciting sample types and clinical conditions.
We invite you to submit your application to come and work with us on this exciting opportunity and improve health care world wide!
In your role as an Algorithm Developer, you will:
About You (skills, experience, potential)
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.
Performing Neuroimaging analysis using MATLAB, Python,
Developing Machine Learning algorithms in neuroimaging and medical data
Integrating all data received from various aspects of the different studies- structural and functional MRI scans, CRF's, clinical questionnaires, neuropsychological tasks, and patient's clinical background
Writing manuscripts and grant proposals
Applying Machine Learning algorithms in neuroimaging data
Industrious candidates with B.A/M.A./M.Sc or PhD in neuroscience, computational science or psychology
Programming skills, especially in MATLAB or Python
Excellent interpersonal abilities and ability to work in a team
A full/part time position and a two year commitment is required!
Enzymit is a cutting-edge computational protein design company developing a novel platform for enzyme design.
Traditional chemical production is expensive and environmentally destructive.
Living organisms have been producing many types of substances with close to zero pollution and with incredible efficiency.
Through the use of sophisticated computational tools, we are harnessing life’s molecular machines to transform traditional chemical production
Our enzymes enable the production of materials that were considered unattainable by traditional chemistry.
Our technology combines computational biophysical models with statistical and machine learning approaches enabling us to design novel enzymes. We build and deploy these computational modules using a scalable cloud computing infrastructure and complement their predictions with results from our proprietary high-throughput experimental screening platform. We utilize advanced computing architectures based on high-performance GPUs and investigate novel methodologies in biophysical modeling and deep neural networks.
We are a seed-stage company and have raised its seed round of USD $5M led by top-tier investors.
We’re looking for a Computational structural biologist to join our team in Ness-Ziona (Israel). You should join us if you want to learn and help develop state-of-the-art techniques for discovering structure-guided insights into enzymes. You will interface with Enzymit's core team of computer scientists and experimental biologists as well as our external partners.
– Develop novel algorithms for protein design and prediction, leveraging the most advanced ML/DL algorithms
– Data analysis and visualization for reports/presentations, delivery to partners
– Work side-by-side with chemists, biologists, computer scientists, and software developers to develop new methods for protein design and execute existing ones.
– Assist in the collection/curation of biological datasets (sequence, structure, function data) for machine learning initiatives
– Minimum of MSc/PhD in Computer Science or an equivalent field
– We train neural networks to work at scale. An ideal candidate is comfortable with cluster environments and understands the related computer systems concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc).
– We are at the cutting edge of deep learning applications. The ideal candidate has a strong understanding of the “under the hood” fundamentals of deep learning (layer details, backpropagation, etc). Additional requirements include the ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to protein structure and protein sequence.
– Knowledge of classical ML
– Experience with Tensorflow, PyTorch or other Deep Learning Frameworks.
– Experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
– Passion for biology / physics – a must!
Labrador is a platform for at-home noninvasive screening of chronic diseases when they are still in their treatable (sometimes reversible) phase.
We utilize technological advancements in AI and microfluidics to offer an at-home digital lab to screen for prediabetes.
Labrador Health reduces the $327B yearly costs caused by diabetes and its complications by providing a simple and cheap device that early detects prediabetes at home. 30% of Americans have prediabetes, however, 90% of them are not aware of that until they develop diabetes and their condition becomes irreversible
We are looking for a highly motivated and professional computer vision engineer, with a positive can-do spirit, to join our adventure. We are looking for someone to work on the computer-vision part of our technology but as a founding-team member, you’ll be a part of all aspects of building the company and product.
This is a unique opportunity to join a deep-technology, do-good, startup from day 1 and be a significant part of the founding team with an ability to influence everything – from the technology we’ll work with, to the culture the startup we'll have, the work processes, and basically everything. Joining as one of the founding team members is the best time to create a significant impact.
Our talented AI team is growing and we are looking for a strong candidate who can join us and help us develop life-saving algorithms!
As part of the Al team, you will:
* Develop AI products capable of running at scale (500+ hospitals) and handling real world production variability
* Translate product and clinical requirements to data driven metrics
* Develop data driven algorithms combining deep learning methods with classic computer vision/medical imaging techniques
If you're excited about:
* Making an impact on a growing real world user base of 600+ hospitals
* In depth understanding of clinical aspects and data characteristics of the problem at hand
* Working in an exponentially growing startup environment
The following are a big plus:
We are located in San Francisco and Tel Aviv. This position is based in Tel Aviv.
Our office in Tel-Aviv is located in Menachem Begin 150, within walking distance of Arlozorov and Ha'Shalom train stations.
Our research team leverage novel technologies to advance mental health research. We bring together experts in clinical psychology, machine learning, and data science to promote personalized medicine in mental health care.
The selected student will join a research project led by Dr. Dana Atzil-Slonim from the Psychology Department and Professor Yoav Goldberg from the Computer Science Department at Bar-Ilan University. The project is focused on leveraging Machine Learning and Natural Language Processing techniques to analyze a large and unique multi-modal dataset of recorded psychotherapy sessions.
This is an excellent opportunity for a talented research student to join a project with tremendous potential to harness advanced technologies to improve treatment for those suffering from mental health problems.
Student position. 8-10 hours a week, with an option to work some of these hours from home.
The job responsibilities may include but are not limited to:
We are looking for image processing, computer vision, machine learning or computational/3D geometry developers to join our algorithms team.
In this position you will develop algorithms for tool guidance during surgery, 3D reconstruction, and tracking for augmented reality.
Beyeonics Surgical is a medical technology company developing surgeon-centered visualization solutions. Operating from Haifa, Israel, the company leverages cutting-edge imaging and head-mounted display (HMD) technologies originally developed for aerospace applications.
Strong technical background and proven successful record in one of the following
Experience in the medical device industry – an advantage.
K Health is a venture-backed, fast-growing start-up with a mission to use the power of shared knowledge to to get everyone access to higher quality, more affordable health care. We’re looking for mission-driven individuals to join our growing team and help us eliminate healthcare inequalities and build a better, healthier future for us all.
Named to the 2021 CNBC Disruptor 50 list, K Health is using Artificial Intelligence (AI) to build the smartest digital healthcare platform in existence. Our data-driven app brings together the knowledge of thousands of doctors and the anonymous medical records of millions of people to help diagnose and treat what’s wrong. We offer a free symptom checker and 24/7 access to doctors to ask questions, refill prescriptions, get care for your kids, and more. Right from your phone—no insurance needed.
Since we were founded in 2016, K Health has raised over $270M in VC funding. Our recent valuation brought us to Unicorn status. Our current partners include the Mayo Clinic Platform, Anthem, and Maccabi Health Services.
Our data science group is composed of exceptional MSc and Ph.D. graduates and experienced researchers, and is deeply committed to scientific excellence. We solve complex data-driven algorithmic and statistical modeling challenges from the very forefront of the health informatics research domain.
In this role, you will build game-changing medical ML solutions that will provide immediate medical help for millions of people around the world. You will have an end to end responsibility for your models – from ideation and research to full productization and monitoring.
You will be exploring new research avenues, lead diversitized projects, and make a significant impact on people’s health. You will be a key player in a multidisciplinary team consisting of Data Scientists, Analysts, Physicians, Developers, Product managers and more.
This is a senior technical role requiring an MSc or PhD, you must have proven experience in researching and developing machine learning algorithms and good interpersonal skills. We highly appreciate independent thinkers and doers.
Sentient Synthetics, a HealthTech AI startup, is looking for a deep learning algorithms engineer to join our growing team that develops the next breakthrough in synthetic data generation and virtual biology systems for healthcare applications.
As an algorithms engineer, you will design and optimize Deep Learning solutions for medical imaging, digital Pathology, and thermal imaging.
Roles and responsibilities:
Other Attributes we Value:
At Quris Technologies Ltd. (TLV) we are developing the most advanced technology that will shape the future of drug discovery and clinical trials success prediction. In short, given a drug, we collect data from human cells and use it to predict clinical trial success. This is an opportunity to work closely with the top biologists at the edge of today's bio-tech.
We are seeking a sharp lead data scientist that will help us gain valuable insights from our proprietary data and shape with us the future of drug discovery and clinical trials success prediction.
You should have a strong statistical analysis capability as well as a solid understanding in Machine learning and Deep Learning.
This is a magnificent chance to join a leading technological company from an early stage and make a true impact.