The Signal Acquisition, Modeling, Processing and Learning (SAMPL) lab headed by Prof. Yonina Eldar at the Weizmann Institute of Science is looking for excellent undergraduate/ M.Sc. students who would like to participate in cutting-edge research in artificial intelligence (AI) for medical imaging.

The desired candidate should have practical experience in:

• Python – mandatory
• Deep-learning tools – preferred
• Mathematical background
• Complex software systems – advantage

The work is in on site for at least 2 full days a week.

Project payment according to minimum rate and not more than 120h/month.

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

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

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.

We at Diagnostic Robotics imagine a world where the most advanced technologies in the field of artificial intelligence can make healthcare better, cheaper, and more widely available. Diagnostic Robotics’ systems are trained on tens of billions of claims data points and nearly 100 million patient visits. We support global and regional health plans, employers groups and providers, by creating seamless, data-driven interactions that integrate seamlessly into major touchpoints along the patient journey. Our goal is to provide high-value decision support while slashing administrative burdens, massively reducing the cost of care, improving patient experiences, and saving lives.

We are looking for a strong Data Engineer to develop, maintain and test state of the art ML pipelines both for production and experimentation use. This person will work with top talents in the industry including data scientists and physicians (domain experts) to solve real-world problems with AI-based tools using billions of medical data entries. As part of the Data team, our products impact millions of patients on a monthly basis.

What you’ll do:

• Build data pipelines that digest complex medical data
• Bring machine learning based solutions to our AI products from research to production.
• Adapt standard machine learning methods to best exploit modern environments
• Work closely with data scientists and physicians on medical datasets.

To be successful in this role, you'll need:

• 2+ years of experience as a Machine Learning Engineer, Data Engineer or a similar role
• 4+ years of hands-on experience in coding using Python/Scala/Java/Node/Golang/Ruby – Python preferred
• Independent, self-motivated and auto-didactic with creative and critical thinking capabilities
• Team player with excellent communication and collaboration skills.
• Familiarity with data pipeline tools like: Airflow, Argo, Luigi and others – Advantage
• Familiarity with big-data tools such as: Snowflake, Dask, Spark, Kafka, Hive (or similar) – Advantage
• Experience with at least one major cloud provider (Azure/GCP/AWS) – Advantage

Genetika+ is a world-changing, award-winning biotech start-up based in Tel Aviv. We are working with cutting edge technologies to create a new unique tool in the treatment of Major Depression. Join us in our mission to help patients all over the world and make a real impact on the lives of millions of people.

We are searching for a rock-star Data Scientist to join our expanding data science team. The Data Scientist will develop, customize and apply new and existing algorithms to improve medical and biological biomarkers associated with drug response. They will have the extraordinary opportunity to make their mark on a state-of -the-art software that will be part of a precision medicine product, solving a meaningful problem challenging people all over the world.

Principal duties and responsibilities:

• Advance key elements of our data science program
• Analyze and develop predictive modeling using heterogeneous data, mainly Electronic Medical Records, mental health questionaires and clinical trial data
• Develop and utilize algorithms using heterogeneous data, supervised and unsupervised classification machine learning models
• Process heterogeneous data, including EMR, and real-world biomedical data
• Automate integration of ML models and different data sources
• Write and maintain scripts for processing big data from public and proprietary clinical trials
• Be part of infrastructure design, implementation and maintenance, including ETL pipelines over cloud (AWS)

Qualifications & experience:

• Sc. or Ph.D. in mathematics, computer science, data science, bioinformatics or another related field
• Sc. with relevant experience will also be considered
• Demonstrated experience in medical and/or biomedical data analytics and graphical presentation, machine learning and deep learning algorithm development/utilization
• Proficiency in SQL (preferably PostgreSQL / MySQL)
• Prior programming experience with R and/or Python
• Demonstrated experience with Natural Language Processing (NLP) – advantage
• Good understanding of medical data
• Good interdisciplinary communication skills
• Superb written and oral communication skills in English
• Ability to work independently, as well as be part of a team and communicate with other data science arms of the company

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

We are looking for an experienced Data Engineering Team Lead to join our R&D team in developing the new rising product in the health landscape.

As Lumen's Data Engineering Team Lead, you'll hands-on design and implement our Data and ML infrastructure while recruiting your team members and leading them. You will take part in our Data Guild, composed of data scientists, data analysts, and developers from various company teams.

Our ideal candidate has a real passion for empowering people, is tech-savvy, has excellent communication skills, and loves constantly improving themselves and our working practices. If servant leadership is something you relate to, you'll fit right in.

This is a great opportunity to join the core team in a successful growing startup and work with the most advanced technologies.

Responsibilities

• Lead a team of data engineers in a dynamic, techy and quick pace environment
• Make data standardized and reusable, from architecture to production
• Manage data pipelines and ETLs that collect and transform data to support analysis, reporting and ML models
• Build a semantic layer (data model) to support our analytics needs
• Collaborate with data scientists, data analysts and product managers to implement a shared technical vision for our Data/ML pipelines and to institutionalize data-driven decisions
• Follow best practices (Unit tests, Monitoring, A/B Testing) and keep up to date with the latest trends and technologies
• Design and set up Lumen’s ML infrastructure

What we’re looking for

• Proven experience in team building and managing people
• Passion for mentoring and helping people on your team grow and achieve their goals
• Proficient with Python (Python ML ecosystem – advantage)
• Experience with AWS or GCP cloud infrastructure
• Experience with building and maintaining data pipelines and ETLs
• Proven data architecture skills
• Superior analytical skills with a good problem-solving attitude
• You care about your work, your workplace and your colleagues and strive to learn from feedback
• Experience as a Machine Learning Engineer – advantage
• Bachelor's degree in Computer Science or Engineering or equivalent practical experience – advantage

We are looking for an experienced Data Engineer to join our R&D team in developing the new rising product in the health landscape.

As Lumen’s Senior Data Engineer, you'll design and implement our Data and ML infrastructure. You will take part in our Data Guild, composed of data scientists, data analysts and developers, from various teams throughout the company. Day to day will include tasks of various nature: infrastructure, productizing ML models, hands on coding as well as architecture.

Our ideal candidate has a real passion for building things that work, great communication skills and loves to constantly improve themselves, our working practices and codebase.

This is a great opportunity to join the core team of a growing successful startup and work with the most advanced technologies.

Responsibilities

• Make data standardized and reusable, from architecture to production
• Manage data pipelines and ETLs that collect and transform data to support ML models, analysis, and reporting
• Collaborate with data scientists, data analysts and product managers to implement a shared technical vision for our Data/ML pipelines and to institutionalize data-driven decisions
• Follow best practices (Unit tests, Monitoring, A/B Testing) and keep up to date with the latest trends and technologies
• Design and set up Lumen’s ML infrastructure
• Stay updated with 3rd party tools for data engineering and ML-ops

What we’re looking for

• Proficient with Python (Python ML ecosystem – advantage)
• Experience with AWS or GCP cloud infrastructure
• Experience with building and maintaining data pipelines and ETLs
• Ability to produce scalable and robust production-quality code incorporating testing, evaluation, and monitoring
• Superior analytical skills with a good problem-solving attitude
• You care about your work, your workplace and your colleagues and strive to learn from feedback
• Experience in backend software engineering, infrastructure oriented – advantage
• Experience as a Machine Learning Engineer – advantage
• Bachelor's degree in Computer Science or Engineering or equivalent practical experience – advantage