We are looking for highly talented Data Scientists who specialize in Computer Vision Image Processing to join our R&D team.

Responsibilities

As a data scientist you will responsible for research and development of core algorithms that fuels our products. This is an end-to-end responsibility, from an idea to a product. It includes:

• Develop deep learning models – design and build architectures, training, evaluation and deployment
• Develop image processingcomputer vision algorithms
• Maintain and improve our research python package that provides DLML capabilities, image data handling and manipulation and more
• Research and review of academic papers related to our use case

Desired Skills & Experience

• Team player
• Strong programming skills
• Self-learning abilities
• BSc, MSc, or Phd in STEM field
• In-depth knowledge and hands-on experience in:
• Deep Learning
• Computer Vision
• Image Processing
• Experience with a major deep learning framework (PyTorch or TensorflowKeras)
• Experience with OpenCV and Numpy
• Experience deploying neural networks in cloud or edge devices – Advantage
• Experience with cloud computing environments (e.g. Google Cloud, AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.) – Advantage
• Years of experience: 1-2 

• Location: Tel-Aviv
• Full-time position

We are looking for highly talented Data Scientists who specialize in Computer Vision Image Processing to join our R&D team.

Responsibilities

As a data scientist you will responsible for research and development of core algorithms that fuels our products. This is an end-to-end responsibility, from an idea to a product. It includes:

• Develop deep learning models – design and build architectures, training, evaluation and deployment
• Develop image processingcomputer vision algorithms
• Maintain and improve our research python package that provides DLML capabilities, image data handling and manipulation and more
• Research and review of academic papers related to our use case

Desired Skills & Experience

• Team player
• Strong programming skills
• Self-learning abilities
• BSc, MSc, or Phd in STEM field
• In-depth knowledge and hands-on experience in:
• Deep Learning
• Computer Vision
• Image Processing
• Experience with a major deep learning framework (PyTorch or TensorflowKeras)
• Experience with OpenCV and Numpy
• Experience deploying neural networks in cloud or edge devices – Advantage
• Experience with cloud computing environments (e.g. Google Cloud, AWS, Azure) and relevant execution frameworks (Docker, Kubernetes, etc.) – Advantage
• Years of experience: 1-2 

Hello Heart is looking for a Data Scientist!

Hello Heart is a best in class solution that empowers people to understand and improve their heart health – the #1 cost factor for employers. The program is clinically based and targets people with high blood pressure. Each of our users receives a wireless blood pressure monitor and real-time personalized tips on their smartphone. It is easy to use and helps participants improve their heart health in a fun and engaging way. Hello Heart’s successful distribution model is B2B2C, selling to Fortune 500 employers. This allows us to reach a large audience and have impactful results.

Hello Heart is looking for a Data Scientist to join our amazing and growing data group. Our team develops state of the art prediction, classification and recommender system models to help our users manage, track and improve their health.

Areas of responsibility:

• Building Machine Learning pipelines into production collaboration with the engineering group.
• Developing novel algorithms and investigating new technologies that will actually save life!
• Work closely with the product and translate clinical researches into digital insights that will be used on a daily basis across the world.

The ideal candidate will be:

• An enthusiastic researcher, not afraid to explore new areas of research.
• A self-driven who shows ability to deliver on ambiguous projects with incomplete or dirty data
• Passionate about data and ML, love analyzing, mining and playing with data.

Qualifications:

• B.Sc. from top university in one of the following fields: Mathematics, Physics, Computer Science, Electrical Engineering or related areas – required.
• M.Sc. from top university in one of the following fields: Mathematics, Physics, Computer Science, Electrical Engineering or related areas – advantage.
• 2+ years of hands-on experience in implementing machine learning models in production using Python or R – required.
• Strong theoretical and practical background in a variety of machine learning techniques – required.
• Experience with standard deep learning frameworks: PyTorch / TensorFlow – an advantage.
• Specific experience in recommendation systems and / or time series modeling – an advantage.
• Experience with programming skills, e.g. Java, Scala, C# – an advantage.
• Experience in healthcare industry and working with clinical data / EMR – an advantage

INCRMNTAL is searching for the best Data Scientist out there!

We are a new startup founded by successful serial entrepreneurs with the vision to evolve digital marketing from the measurement of traffic to measuring VALUE.

Advertising for the past 100+ years has faced a strange dilemma: “Half the budget I spend on Advertising is wasted. The problem is – I don’t know which half” (John Wanamaker, 1838-1922)

We are a deep machine learning and AI company, using the latest technologies, to solve a really simple question – “which half is wasted?”

We are a new startup, launched in summer of 2020, backed by strategic investors from around the world who believe in what we’re doing.

We have paying customers and a constant flow of interest from the press, investors and more large companies who want to join us.

Role Description:

As a Data Scientist your role will be to:

• Use analytical, statistical and technical skills to understand large, complex datasets with the aim to eliminate waste and measure incrementality for advertisers.
• Lead, Develop & improve algorithms for automated decision making around lifetime value, causality, multi-touch attribution, and media mix optimization
• Determine, analyze, maintain, and report on core marketing metrics to identify causal relationships between marketing actions and outcomes.
• Translate data into actions and recommendations – appropriately interpreting and building on findings, and fully exploiting insights

You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most. We believe in helping each other get most of ourselves rather than do what we’re not interested in doing.

Key Requirements:

• Min. 3 years of work experience in a commercial data science environment that requires the combined application of statistical & engineering skills
• Strong statistical and research skills with a track record of using a variety of math and statistical methods (especially Causal Inference, Prediction models, Bayesian Method)
• Excellent development skills (Python required, R or Scala a plus)
• Experience in working on big data with distributed computing (Spark, Airflow, Kubernetes)
• Familiarity with digital marketing, advertising or analytics is a plus
• Extensive experience in the Time Series domain, working with small and large time series frames
• Theoretical background knowledge like from a relevant BSc, MSc or PHD is a big advantage
  (e.g. in Mathematics, Computer Science, Statistics, Physics)

Benefits of Joining INCRMNTAL:

• We are a new startup with a LOT of supporters and positive attention from investors, press and customers. Joining early means that you could be part of our success.
• We have no set policies for time off or working hours. We respect one another to deliver the product, while treating each other as adults.
• Excellent and committed employees will be granted share options.
• We are passionate, solution-oriented people who are accountable to our actions.
• We place our customers first and aspire to build a valuable solution to measuring value.
• At INCRMNTAL, you should be ready to make decisions yourself. We say: “Don’t ask for permission – beg for forgiveness ”.
• We care and respect one another, as we are ALL people – our titles define our roles and responsibilities, they do not differentiate us.

We are accepting applications regardless of any external factors. Everyone is welcome to apply.

LinearB is looking for a Data Engineer who is passionate about data and has strong experience with building data pipelines and products. You will work with our data team at the CTO office to help mine our datasets to extract insights powering LinearB’s storytelling, product strategy decisions, and customer success flows. You will build pipelines that make our data accessible for research, data science and ad-hoc analytics, as well as develop the data services that power ML based features in our product. You will join our CTO Office team based in our headquarters in Tel Aviv, Israel, working in a Hybrid model.

You will have the opportunity to take part in a disruptive product that leverages cutting-edge technologies while working in an agile development lifecycle. You will join a highly technical and savvy group of doers who are building tomorrow’s technologies. You are expected to be a subject matter expert and a strong team player with innovative thinking and the ability to ramp up on new technologies, patterns, and frameworks.

What You'll Do:

• Build data processing pipelines to enable efficient access to and utilization of our data by various stakeholders, including data scientists, analysts, product, customer success and marketing
• Build and own the infrastructure to enable ML based features in LinearB’s product, including APIs, inference services, model monitoring etc.
• Build data dashboarding capabilities enabling a broad range of stakeholders to view trends, run ad-hoc queries and visualizations, and extract intelligence.

Qualifications:

• 3+ years proven experience in backend development with Python, Scala, Go or a similar language
• 2+ years of experience with one or more of the following: Pandas, Spark, AWS Sagemaker, MLFlow
• Proven experience developing and deploying production workloads on AWS
• Proficient in SQL, with at least one year of experience writing and maintaining SQL based analytics
• Proven experience designing, creating and maintaining data visualizations and analytics dashboards
• You are a curious, independent and rigorous individual with a “Can Do” attitude and ability to prioritize and solve problems
• You are capable of tackling ambiguous problems and challenges, and you love learning new skills
• Last but not least, you have a good sense of humor!

 Advantages:

• Experience as a data engineer developing pipelines for data teams
• DevOps experience, in particular terraform and serverless
• Experience developing and deploying REST and GraphQL APIs
• Experience with customer data platforms and APIs: Segment.io, SFDC, Amplitude, Hubspot, ChurnZero, Zendesk etc.
• BSc degree in STEM or other related subjects

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.

At NUCLEAI we believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions.

As a Team Lead you will be responsible:

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.

At NUCLEAI we believe that talents are our most valued asset and as such, hiring the right people is one of our most strategic missions.

As a Team Lead you will be responsible:

• Managing and leading a team of senior researchers and engineers.
• Leading the algorithmic research & development efforts to build a scalable and reliable platform.
• 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
• Develop various SOTA deep learning algorithms that accurately analyze pathology images, as well as machine learning models that use that structured image data to predict response to drugs.

Requirements:

• 3+ years of experience managing and inspiring ML teams.
• 7+ years of experience in various software / algorithms development positions.
• 3+ years of experience in machine learning / deep learning algorithms development.
• Startup experience is an advantage.
• PhD/MSc in relevant field – Must.

About the position

Requirements

Role & Responsibilities

Data Analyst

Lynx.MD is building and selling the world's #1 collaborative medical data science platform . Our solution enables the long hoped for vision of: rapid, safe access healthcare data , accelerating R&D of diagnostic and therapeutic solutions, pharmaceutical studies, and medical devices. 

Lynx.MD was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity.

What You’ll Do:

• Build diverse cohorts of clients data to enrich Lynx’s data catalog
• Write Python programs to implement Machine Learning functions
• Writes efficient SQL queries to analyze the data thoroughly and present the results of analysis to Lynx.MD customers 
• Work closely with Sales and Data Science teams to support them in achieving their requirements
• Optimize Healthcare data delivery 

Who You Are:

• 2+ Years experience with Python
• Experience with SQL
• Experience with visualizations and dashboard development
• Strong coding skills
• Strong analytical capabilities
• Experience with Healthcare data – an advantage

• Experience working in cloud environment – an advantage

Who We Are?

Lynx.MD is building and selling the world's #1 collaborative medical data science platform . Our solution enables the long hoped for vision of: rapid, safe access healthcare data , accelerating R&D of diagnostic and therapeutic solutions, pharmaceutical studies, and medical devices.
Lynx.MD was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity.

What You’ll Do:

• Build game-changing medical ML solutions on diverse medical topics
• Explore new research avenues and make a significant impact on medical and operational processes
• Execute end-to-end research projects with world-leading health organizations and physicians of diverse medical topics
• Customer-facing guidance of external researchers that using the Lynx platform for research

Who You Are:

• 5+ years of Data Science experience
• Experience in computational health and/or medical informatics
• Strong knowledge of SQL
• Strong knowledge of Python (R knowledge is an advantage)
• Experience with AWS related services (Sagemaker, Athena) – Big advantage
• Team player, autodidact, fast learner with excellent analytical skills
• Experience with presenting studies for stakeholders

Lynx.MD is building and selling the world's #1 collaborative medical data science platform . Our solution enables the long hoped for vision of: rapid, safe access healthcare data , accelerating R&D of diagnostic and therapeutic solutions, pharmaceutical studies, and medical devices.
Lynx.MD was founded by repeat entrepreneurs and recognized leaders in healthcare, data science, AI, and cybersecurity.

What You’ll Do:

• Implement and optimize machine learning and data analysis pipelines
• Create stable and scalable processes to optimize Healthcare data delivery
• Build diverse cohorts of clients data to enrich Lynx’s data catalog
• Generate insights based on clients data and infrastructure
• Writes efficient SQL queries to analyze the data thoroughly and present the results of analysis to Lynx.MD customers
• Work closely with sales, data science and engineering teams to provide added values to our product and our customers

Who You Are:

• Very strong engineering and coding skills
• At least two years of experience with Python
• Experience with SQL
• Experience with SQL databases (Postgres, mssql, etc)
• Strong analytical capabilities
• Experience with Healthcare data – an advantage
• Experience working in a cloud environment – an advantage
• Experience with NoSQL databases (Elastic, Redis, etc.) – an advantage