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We are looking for an experienced software & algorithm engineer to join our computational drug hunting team.
Responsibilities:
Design and build a scalable, complex backend infrastructure for our computational cloud platform
Advocate lean and mean solutions, aesthetic design, and architecture
Implement and improve algorithms in our bioinformatic pipelines
Conduct literature reviews for algorithms, bioinformatics methods and big data solutions, and continuously keep up to date with the state of the art
Help define the technological strategy of the company

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!

As an Algorithm Developer you will be responsible for building the algorithms powering our platform and our consumer applications (Wordtune Suite). You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.

You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.

ROLE AND RESPONSIBILITIES
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining deep language models, classical ML/NLP and algorithms
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production

We are hiring a senior data scientist to join Nucleai’s data science team. 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 creating novel precision medicine technology. Come 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.
Position Overview The data science team provides the bottom line to our customers – which patients are the best fit for a cancer treatment and what is the chance of success. We do it by analyzing medical images and clinical data, researching spatial features, developing predictive models and applying statistical methods to evaluate the results. Responsibilities:
* Independently lead the data science perspective in any project or assignment – from data mining, through developing new algorithms, to analyzing results and providing professional insights and guidelines.
* Contribute to the team's internal codebase with high-quality code and development standards.
* Augment our knowledge and best practices, adopt relevant SOTA data science methods and practices.
* Work closely with medical doctors, product and project managers, research scientists and software developers to focus your efforts, build new capabilities and provide value to your colleagues and our customers.

Required Analyst
Job Description:
A clinical-stage drug discovery and development company in the field of cancer immunotherapy. In line with our business model to enter into collaborations for their internally discovered, novel therapeutic candidates at various stages in research and development, the company is seeking an Analyst in support of its partnering efforts.
Reporting to the SVP Strategic Collaborations, the Analyst will lead competitive intelligence (CI) and business analysis activities to support BD and corporate objectives. She/he will be responsible for supporting aspects of competitive analysis and other activities relating to partnering efforts.
Constantly monitor the pharma and biotech space and gather competitive intelligence from various sources including company portfolios, preclinical and clinical activities, scientific data, partnerships, deal structures and terms, and other relevant intelligence
Perform analyses and provide insights into competitive landscapes, industry trends and perspectives, market developments, product developments and positioning, as well as other intelligence in support of our BD&L and R&D efforts
Provide regular updates to our management and functions
Develop Target Product Profiles for our development candidates in close collaboration with R&D teams, and build forecast models based on epidemiological data as well as customer/patient segmentation, pricing and access assumptions
Identify potential collaboration partners for various pipeline opportunities
Work closely with our R&D community and drive the preparation of materials surrounding the companys pipeline programs for internal presentation to management and also to potential partners
Contribute to the creation of valuation models and financial valuation of business development opportunities against partnering scenarios.

Required Translational and Bioanalytical Research Associate
Job Description
The Translational and bioanalytical research associate will oversee the Companys translational and bioanalytical activities that are essential for drug development activities, preclinical and clinical. This typically includes bioanalytical methods development and use for pharmacokinetic and immunogenicity evaluation, as well as methods needed for pharmacodynamic exploration, such as cytokines, receptor occupancy, immunophenotyping, and a support for drug manufacturing development activities (CMC). The candidate will ensure the methods are developed, validated, and used with the highest degree of quality and compliance with international regulations.
The candidate will work with cross functional teams across the organization (preclinical biomarker/translational research, clinical development, clinical operations, CMC, regulatory, clinical data management) to ensure the successful PK and PD sample analysis for investigational drugs in our pipeline.
Be responsible for the bioanalytical methods required for our various therapeutic programs at preclinical and clinical development stage. This includes assay set-up, optimization, validation, execution, tracking of program and study timelines, review of bioanalytical protocols and reports
Propose format and strategy for pharmacokinetic and pharmacodynamic assays, immunogenicity assays such as ADA and NAb assay, flow cytometry immunophenotyping panels, Receptor occupancy assays, etc.)
Support the selection and the oversight of external advisors/Contract Research Organizations, including participating to quality assurance audits
Monitor internal and external work on bioanalytical methods
Collaborate with scientific colleagues in the R&D units from discovery to clinical teams
Maintain an up-to-date understanding of the state-of-the-Art literature, requirements, and regulatory guidelines for bioanalytical methods used in drug development
Present written and oral reports to preclinical units and management
Contribute to Project Management activities such as definition of activities, timelines, and costs/budgets
Contribute to the data analysis and summaries of results derived from pre-clinical and clinical sample analysis
Contribute to preclinical and clinical documentation definition and writing for the sections related to bioanalytical methods.

As a deep learning research engineer, you will conduct research projects to advance the scientific front of AI.

Your work will be done both solo and in collaboration with other deep-learning engineers and researchers. We are looking for someone versatile, displays leadership qualities, and is passionate about taking on new challenges.

As a deep learning research engineer , you will conduct empirical research of the highest quality, using and developing state-of-the-art techniques and algorithms.
Responsibilities
Design and implement DL algorithms to deliver advanced computer vision solutions.
Lead and carry out effective scientific research by formulating meaningful research questions, conducting experiments, organizing results, concluding and communicating results in presentations, blog posts, and scientific papers, and integrating outcomes into our product
Manage individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers highly-skilled deep learning engineers and scientists
Mentor and collaborate with deep learning engineers

The Hybrid Cloud department is looking for an outstanding research intern with experience and interest in cloud computing and distributed systems. We have a number of openings in which you can be a part of a research team in the following areas:
Solving real-world problems in managing data for Generative AI
Building the next generation of high performance and programmable networks for the multi-cloud era
Global storage systems
Multi-cloud observability
Multi-cloud control and management plane
Our summer internship program offer you an opportunity to join our research team for 3 months internship (working 5 days a week) in either Haifa or
Tel Aviv sites (according to each internship).
During the internship, you will be working with our talented researcher on top projects, helping create the next generation of AI, security, quantum, cloud and much more.

As the Game Economy Manager, you will be responsible for designing and managing the in-game economy, as well as managing and tracking our user's experiences through the use of behavioral insights, mathematical models, simulations, data analysis,

To put it simply: You'll be responsible for making the game more fun and increasing community engagement.

The ideal person for this position is curious by nature, loves problem-solving, is a team player with great communication skills, and is a self-starter.

RESPONSIBILITIES
Designing economic game features in order to maximize and heighten user experience and optimize KPIs directly linked to the game
Model and balance complex systems in the game to maintain a healthy and growing in-game economy
Work with the product and monetization teams to build and implement content in the game as well as live-ops activities
Perform data analysis and AB testing in order to always improve the game performance
Pricing of the game store, offers, and other products
Tracking and managing in-game economy parameters on a daily basis

We are seeking a highly skilled and experienced Principal Digital IC Verification Engineer to join our dynamic team. The Principal Digital IC Verification Engineer will play a crucial role in ensuring the quality and reliability of our ASIC based Wireless and Wired communication chips by designing, developing, and executing comprehensive verification plans. The ideal candidate will have a strong background in ASIC verification methodologies and will possess excellent problem-solving skills. In this role, you will focus on the followings:

Block Level verification of complex Design modules
Cluster/system level testing including: Simulating system level scenarios, Performance evaluation, Software debug
Writing verification environments from scratch
Integrating block level environments into cluster/system environments
Define and implement architectural changes for the verification infrastructure

The lead Physicist will be part of a team dedicated to IR-detector development in the physics group. He will participate to the conception and development of detectors and accompany its development through the different stages of the projects from conception to inception at customer's. The physicist will also support the production line and should provide insights from physics perspective to the different functions of the company during the project development: Process teams, material growth, VLSI, Electronics, Mechanics, Marketing. The physicist should will have a system view of the detector with capability to understand the underlying physics process at material level, VLSI, and system level. The position includes important part of experimental work in laboratory environment, simulations development, data analysis and regular reports to management and project development team. The lead physicist should demonstrate important autonomy and leadership capabilities.

We are looking for a Research Intern.
Research Intern in the challenging areas of multimodal foundation models with application to a wide variety of business use-cases such as multimodal alignment, question answering, and information extraction. The research will also include concrete tasks such as document understanding, layout analysis, text extraction, image understanding, and data synthesis.
Role and Responsibilities :
If youre a student interested in the fields of machine learning, deep learning, and computer vision, and youre looking to come to a summer intern position where you will do research with academic and industrial impact, then this position is for you!
Our team develops technologies, models, algorithms, and software that make an impact on our products and on the world, and we publish papers and issue patents based on the work we do.
This internship involves solving a real-world problems using cutting edge deep learning/machine learning methods, with the aim to advance the state of the art in the domain of document understanding. Document understanding is the ability to read documents, understand their structure and content and act upon it. This is a crucial technology as business documents are key to the day-to-day operation of organizations.
Document understanding remains a research challenge that requires a multi-disciplinary perspective, spanning textual analysis, visual comprehension, layout understanding, knowledge representation, data mining and more. The areas we are looking at include also multimodal and foundation models, image understanding, and data synthesis.
To achieve the internship goal, you will collaborate with fellow team members and have access to nearly limitless compute power (GPU). The research topics for this internship include, novel self-supervised learning techniques, realistic data synthesis, Vision and Language multimodal research, and more.
The results of the project aim to include a publication in a top AI conference and development of a prototype demonstrating new AI functionality.
Succeeding in these tasks is expected to make an important impact on the research community in these exciting fields and lead to strong publications in a leading CV venue (e.g. CVPR / ICLR / ICCV).

Research is looking for a student to join our Intelligent Automation group.
At our group were developing the next generation of No code UI Automation.
These new generation of software can be taught to perform tasks without any programming.
Instead, they collaborate and interact with users, watch, and understand how they perform their tasks, and transform these understanding into automation code.
These capabilities are powered by LLMs and transformers models that support combination of natural language, vision, and semantic understanding tasks.
Your Role and Responsibilities:
We are seeking a student to join our Intelligent Automation research team and contribute to our ambitious innovation efforts. As a student you will be responsible to develop and adapt state of the art LLMs and Transformers. Your job will include conducting research, preparing datasets, training models, and demonstrating the use of the models in prototypes of No-code UI Automation platforms.