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Imagine what you could do here. new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The people who work here have reinvented entire industries with all our Hardware products. The same passion for innovation that goes into our products also applies to our practices - strengthening our dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking our products.

The Pixel DV group works on complex, large-scale media IPs. We partner with our architecture and design teams to deliver high quality media IP and systems in order to meet the demanding requirements for excellent products, while boosting performance and meeting area and power goals, incorporating new high quality features.

You will develop verification test plans, test benches, tools and infrastructure, protocol monitors and agents, and coverage driven stimulus.
Apply advanced techniques to achieve verification with the highest quality, productivity, and time-to-market.
Apply deep system level understanding to find system architecture bugs, verifying the DUT at multiple levels - from block level to the entire IP and subsystem, with additional emphasis on power (NLP) and performance.
You will work closely with the design and architecture teams from the early stages of feature definition, to ensure timely delivery of quality designs.
Working with methods to accelerate verification time.
Involvement with Post Silicon Validation and other verification teams.
Candidate should have good interpersonal and collaboration skills, to work with our partner Design and Architecture teams.

We are looking for a Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Data Scientist- Autonomous.
The Research and Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more).
As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

We are looking for a Senior Data Scientist.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing:
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities

Our Strategy & BI department is looking for a talented, business-oriented, and driven Senior Business Analyst to join the team.
This person will play a key role in the analysis and optimization of the rapidly expanding business activity and will take part in the execution of growth strategic initiatives.
The ideal candidate is an energetic team player with exceptional data analysis skills, who can use data to effectively drive results in a fast-growing company and aims to enter the business world. A self-motivated with a high degree of comfort and the ability to leverage data to drive decision-making and turn action items into enhanced performance
Responsibilities:
Analyse and optimize products and activities and use data-driven conclusions to influence and support tactical and strategic decisions.
Build and maintain reports, dashboards, and metrics.
Collaborate with stakeholders from various departments to carry out plans and translate strategy into business results.
Conduct customer analysis including segmentation, profitability, customer value, trends, and behavior.
Work with large amounts of data and build tools to streamline processes.
Conduct ad-hoc analysis under tight deadlines.

We are looking for a highly motivated Materials Prototyping Lab Assistant for a full-time position to support research and development activities within our early innovation lab, specifically in the materials field.

In this role, you will be involved in assisting engineers and scientists in conducting experiments, prototyping, data collection, and documentation.

This position is located in Haifa and reports to the Associate Director, Array Innovation and Materials Engineering.

Assist in the development and testing of prototypes, including assembling and modifying components.
Conduct laboratory experiments and collect data for analysis.
Maintain and calibrate lab equipment to ensure accurate and reliable test results.
Document experiment procedures and findings, and prepare technical reports.
Support engineering and R&D teams in material testing, process validation, and feasibility studies.
Organized lab inventory, materials, and tools to ensure efficient workflow.
Follow safety protocols and maintain a clean, organized lab environment.
Participate in brainstorming sessions and contribute to innovative problem-solving.

Please apply in English only.

This role will contribute to early prototype evaluations, test method development, design feedback to engineering teams, defect identification, and troubleshooting.

This is a full-time, exempt position located in our Haifa Israel office, and will report to the Verification and Validation Manager.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Review, interpret, and execute test plans and test procedures.
Provide feedback to V&V or other engineers to develop and improve test procedures.
Report test results and analysis in written reports.
Promptly Report defects & anomalies found during testing and help troubleshoot issues.
Prepare the test reports to support regulatory submissions and other project goals.
Follow Good Documentation Practices in test reports and other documentation.
Appropriately archive test data, ensuring data can be located for future review.
Conduct qualification and validation of fixtures and software tools.
Collaborate with Novocure engineering and V&V team members in Israel and US.

We are looking for a principal biostatistician for our global biostatistics and data management team.

As a principal biostatistician, you will lead the statistical aspects of our clinical trials. The role will involve defining and implementing statistical techniques commonly used for oncology clinical trials, working on key department deliverables involving designing and analyzing clinical trials, and leading the statistical aspects for regulatory submissions.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Modeling clinical data with Cox Models, Kaplan-Meier Estimates, competing risks.
Contribute to study design by incorporating adaptive design, superiority and non-inferiority trials, propensity score matching, and conducting meta-analyses.
Contribute to protocol development in conjunction with clinical development and operations teams and responsible for assessing the feasibility of the study endpoints and developing the Statistical Analysis Plan (SAP).
Report the study results in the Clinical Study Report (CSR).
Oversight of the CRO and validate other vendors' statistical activities.
Provide statistical advice and manage statistical aspects of clinical and preclinical projects.
Approve statistical outputs: Table, Listing, and Figures (TLFs) and the analysis datasets produced by the statistical programming team using SAS.
Work within a multidisciplinary team and serve as a point of contact between clinical operation, CRO, and SAS programmers within the statistical department.
Provide statistical input for the study-related documents: study execution plans (including Data Management Plan), eCRF design and Edit Checks specifications, eCRF completion guidelines and data reconciliation plans.
Review SAS coding and specifications.
Other responsibilities as assigned.

We are looking for an Early Clinical Study development lead who will provide essential support in the planning, execution, and management of clinical studies in the field of clinical innovation.

This role is pivotal in ensuring that our clinical trials are planned, prepared and conducted efficiently, in compliance with regulatory standards, and with the highest level of quality.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Plan and develop innovative early-phase clinical studies in collaboration with internal and external experts based on internal data and literature and under the guidance of the head of the department
Prepare essential clinical study documents
Support the submission of new studies and amendments to Ethics Committees and Competent Authorities
Schedule and coordinate meetings, teleconferences, and site visits
Assist in organizing and distributing study materials and supplies to the investigational site as needed
Facilitate communication between internal teams, CRO, and external vendors, ensuring smooth study operations
Ability to build and maintain relationships with various stakeholders
Assist in the preparation of study-related presentations, reports, and summaries for internal and external purposes
Participate in internal and external education regarding such clinical studies
Support the clinical team in various tasks as needed, contributing to the overall success of the clinical trials

We are looking fora an experienced Senior Data Engineer to join the Real World Evidence team.

The Senior Data Engineer will be responsible for building and maintaining the Real-World Evidence data lake and implementing data migration processes with proper structuring and integration. Tasks include parsing EMR resources, developing or configuring tools for efficient data annotation, writing scripts to detect discrepancies, and monitoring data coverage and quality metrics. Additionally, building dashboards to aggregate key data points, assist data annotators in prioritizing and simplifying their work, manage access control security policies, and perform data analytics tasks.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with clinicians, data quality experts, and other stakeholders to understand data requirements and deliver solutions.
Ensure data quality, integrity, and security across all data platforms.
Optimize and improve existing data systems for performance and scalability.
Implement data governance and best practices for data management.
Monitor and troubleshoot data pipeline issues to ensure smooth operations.
Program data validations and quality checks to ensure data integrity.
Define, implement, and review data quality metrics; perform trend analyses; identify and support the resolution of data issues.
Support the interrogation, analytics, and reporting of clinical real-world data.
Support research-specific quality audits and regulatory authority inspections, acting as a subject matter expert.

We are looking for a Research Assistant Student to join our preclinical team.

The Research Assistant Student is required to assist in all research activities according to the procedures and to record scientific reports.