Researcher

At GlaxoSmithKline we have created a world-leading data and computational environment to enable large scale scientific experiments that exploit GSK’s unique access to data. Our focus is on bringing data, analytics & science together into solutions for our scientists to develop medicines for patients.

We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for machine learning experts that help discover new medicines by focusing on causal relationships in data. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and work within a global community.

This is a hands-on position where you will be empowered to be creative, ambitious and bold, to solve novel R&D problems and have the potential to directly impact the lives of patients living with disease. We have impressive toolkits and world class data, and we are now looking for talented people to join us.

As a AI/ML Research Engineer focusing in Causal Machine Learning we’d like you to be able to:

  • Lead, design and implement novel scientific approaches to leveraging high-dimensional biological data sets to build predictive models for precision oncology
  • Provide first-class machine learning input to programs/projects; be a key contributor to the planning and direction of a project, and effectively prioritize goals
  • Provide domain expertise and mentor more junior scientists
  • Design, develop and implement analytical solutions using a variety of commercial and open source tools (common tools include Python, Keras or TensorFlow)
  • Connect and collaborate with subject matter experts in biology, genomics and medicine
  • Compare results from various methodologies and recommend best techniques to Stakeholders
  • Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models
  • Offer, challenge and solicit advice via peer review to enhance quality, share best practice and embed innovation
  • Develop and embed automated processes for predictive model validation, deployment, and implementation
  • Deploy your algorithms to production to identify actionable insights from large databases

Required

  • A higher degree in computer science, data science, applied math, physics, systems biology, or bioinformatics
  • 5+ years experience in development of interpretable machine learning, preferably with exposure to functional genomics or molecular and cellular biology
  • Expert understanding of a programming language such as Python
  • Past experience in building deep learning models with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch
  • Application and understanding of best practices in software engineering, training and operating algorithms at scale
  • Past experience in owning and shipping services, including production deployment of ML tools
  • Excellent written and verbal communication skills (both English and Hebrew)
  • Ability to solve complex problems using creative ideas, state-of-the-art tools and best engineering practice
  • Ability to work autonomously and collaboratively as part of a team to both teach and learn every day

Data Scientist

Hello Heart

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

Data scientist- Research

Questar Auto Technologies

We develop models to monitor vehicle systems. We deal with very large datasets of non-linear, multi-modal, and non-stationary time series.  That means we are doing fascinating and challenging staff

In this role as a senior data scientist, you will:

  1. Research, explore and apply novel approaches for anomaly detection, meta-learning, representation learning, evaluation methods, inference and predictions on large scale and complex time series data.
  2. Conduct independent research which includes problem definition, research plan, experimental design, algorithm development, code implementation and robust comparison to available benchmarks.
  3. Articulate your research to technical and non-technical audience.
  4. Convert research outcomes to product, collaborating with ML engineers.
  5. Write scientific papers and patents.

Must have requirements:

  1. Advanced degree in computer science, physics, math, electrical engineering or similar (MSc or PhD).
  2. Three years of proven experience in the data science domain (time spent as part of the PhD or post-doctoral counts as well).
  3. Great coding skills in Python and relevant libraries.
  4. Very good knowledge in machine learning theory and implementation.
  5. Very good knowledge in deep learning theory and implementation (PytorchTensorflow).
  6. Good knowledge in statistics (e.g. hypothesis testing)

 

Advantages:

  1. Knowledge in anomaly detection
  2. Knowledge in time series modeling approaches
  3. Background in the automotive industry

Senior Data Scientist

Incrmntal Ltd.

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.

About Gentex

Gentex is a US based global automotive supplier of advanced products that enhances driving safety and convenience. Gentex’s Israeli R&D center is located in Tel-Aviv and is focused on developing the next generation of automotive AI technology for in-cabin and driver monitoring. The work spans from concept, to prototype, and to product, alongside Gentex's global teams.

About the Position

We are looking for talented algorithm developers to join our R&D group. In this position you will:

  • Design algorithms based on both machine learning as well as classical computer vision.
  • Develop features from proof of concept to final product.
  • Work on unique state-of-the-art proprietary optical technology.
  • Become a part of a global R&D operation and a dynamic local team.

What are we looking for?

  • Degree in Computer Science ,Electrical Engineering, Physics ,Mathematics or related fields.
  • Background in Computer Vision andor Machine Learning.
  • Solid knowledge in Python
  • 3 years of experience in algorithm development.
  • Strong mathematical skills and analytical thinking.
  • A problem solver and a team player
  • Advantage – Background in optics andsignal processing3D modeling.

Come and join us to lead the fight against cancer by discovering the next generation of cancer treatments, novel biomarkers and drug targets, and helping tailoring treatments for the individual patient while using cutting edge technologies of computer vision, deep learning and spatial biology.

Key Responsibilities:

  • Contribute to the establishment of innovative spatial biology platforms, integrated to a multi-dimensional single-cell-omics data generation pipeline.
  • Design, develop and perform experiments to generate spatial datasets, including multiplex imaging and spatial transcriptomics.
  • Lead research projects with a multidisciplinary team including data scientist and software engineers
  • Optimize and troubleshoot experimental conditions to ensure high quality and high reproducibility of the data.
  • Collaborate closely with colleagues in the functional genomics team, computational biology / software engineering teams and provide support for application development.
  • Maintain extensive knowledge of the literature and best practices in spatial biology, in particular related to the immune system
  • Work with and present to key opinion leaders in the scientific community and Pharma industry

Qualifications:

  • MD/PhD or PhD degree in Immunology or Cancer Biology.
  • Experience in designing and executing research projects in the field of cancer and immunology.
  • Experience in analyzing and interpreting clinical data.
  • Experience working with Python / MATLAB / R.
  • Knowledge in machine learning and/or deep learning algorithms
  • Interpersonal skills, collaboration, teamwork.

Advantage:

  • Previous work experience in the biotech industry.
  • Experience in spatial biology analysis and interpretation of high-plex images (e.g. MIBI, IMC, CODEX or comparable platforms).
  • Research in cancer biomarkers and/or immunotherapy target discovery.

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.

Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.

Snapchat is the camera used by millions of people every day to Snap with family, watch Stories from friends, see events from around the world, and explore expertly-curated content from top publishers. In short, we are a passionate team working hard to build the best platform in the world for communication and storytelling.

We’re looking for an exceptional Deep Learning (DL) Intern to join our Augmented Reality team in Tel-Aviv and help us improve our core camera technology using state-of-the-art Computer-Vision (CV) techniques – This includes building deep learning models that will be used by millions of users throughout the world, from literature research to implementation, under the guidance of some of the top talents in the field, and with access to huge gpu and compute resources. Applicants need to demonstrate exceptional skills in research and implementation of algorithms in DL, ML, and CV.

Yahoo! Research in Haifa is looking for an exceptional Ph.D. & MSc students to apply to its intern program for the summer of 2022. You will have an opportunity to work on Yahoo News, Finance, Mail, Search, Sports, or on our Native Ad systems, what you do here will have a huge impact on our business, and the world.

We seek graduate students who are passionate about making a significant business impact while applying state-of-the-art scientific methods to real-world data. Our mission is to grow Yahoo’s biggest products dramatically and consistently every year. We consider the fact that such a key team is based in Israel as a vote of confidence by the company and a source of pride. We are also blessed with a talented engineering team, in Tel Aviv, who propel our scientific solutions by incorporating them in a web-scale serving infrastructure.

The internship lasts for 14 weeks, typically between June and October of the same year. Interns are expected to work with our researchers to tackle research challenges, apply scientific thinking and techniques to improve the performance and effectiveness of our products and solve problems for our users and advertisers by analyzing mountains of data. They will have the opportunity to publish their work in top-tier scientific conferences, as well as to impact systems that are responsible for many millions of dollars in yearly revenue. If this sounds exciting to you, then we may be a good fit for each other. If this sounds intimidating to you, not to worry, we have some of the most talented applied scientists in the world who will guide you through the process. In addition to a competitive salary, you will enjoy many perks like daily sports classes, a generous meal budget, team events, and more.

Position requirements:

Currently enrolled as a Ph.D./MSc student in Computer Science (or a related field) at a top university

Strong computer science foundations in algorithms and data structures and the ability to apply them to real-world problems with a keen eye for time and space efficiency

Strong programming/engineering proficiency. Experience in Java/Python – a plus

Team player with strong communication and presentation skills

Ability to perform independent and collaborative research. Published work – a plus

Experience with machine learning and big data analysis – a plus

The Yahoo Text Research team in Haifa is looking for applied scientists who are passionate about making a meaningful business impact that can be measured in millions of dollars. Our mission is to dramatically and consistently grow Yahoo’s products by applying state-of-the-art scientific solutions to real-world problems. We push the science that powers Yahoo News, Yahoo Search, and Yahoo Mail, and influences hundreds of millions of users, with the help of a talented engineering team in Tel Aviv. The team focuses primarily on text-based systems, delving into topics such as machine learning, deep learning, natural language processing, language modeling, semantic representation, text generation, and text classification. We collaborate with many other teams across Yahoo to deploy our cutting-edge technology into products that further promote business values.

About the position:

Our research engineers and scientists are expected to tackle research challenges, apply scientific thinking and techniques to improve the performance and effectiveness of our products and solve problems for our users and advertisers by analyzing mountains of data. During a typical work cycle, you will come up with creative ideas that may become a new feature or product. You will gather offline evidence of the estimated impact of your initiative on the business. You will design and code a prototype and experiment with it, both offline and online. If successful, you will productize your prototype and oversee it as it is ramped up and used to serve content to hundreds of millions of users each day. A common impact is an increase of many millions of dollars in yearly revenue. After you are done with all of this, you will do it all over again. If this sounds exciting to you, then we may be a good fit for each other. If this sounds intimidating to you, do not worry, we have some of the most talented applied scientists in the world who will guide you through the process.

Furthermore, you will have the opportunity to publish your work in top-tier scientific conferences, as well as submit patents, and give academic talks.

In addition to a competitive salary, yearly bonus, and company shares, you will enjoy many perks like daily sports classes, a generous meal budget, deluxe health insurance, extended parental leave, science and business trips abroad (when applicable), team and office events, and more.

Basic Qualifications

  • Strong computer science foundations in algorithms and data structures and the ability to apply them to real-world problems with a keen eye for time and space efficiency

  • Strong programming/engineering proficiency.

  • Team player with strong communication and presentation skills

  • Graduate degree (MSc or PhD) in Computer Science or other related science fields

  • Ability to publish scientific papers and perform independent and collaborative research

  • Experience with machine learning and big data analysis – a plus

Preferred Qualifications

  • Proven track record of applying science to big data problems with measurable and dramatic business impact

  • Proven track record of initiating and leading the above applied-science efforts

  • 4+ years of related work experience as an MSc or 2+ years of experience as a PhD

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