לוח משרות דרושים מדעים מדוייקים עבודה היברידית, לחיפוש זה נמצאו 20 משרות

We are looking for a Computational Biologist to focus on Computational antibody design, playing a central role in the design and optimization of our therapeutics antibodies, while also conducting multi-omics analysis tasks within the group.

Responsibilities :

You will: Work closely with our computational biologists multidisciplinary team and with the Antibody discovery functional unit
Drive computational antibody design, applying state-of-the-art computational and AI models to design and optimize multispecific therapeutics antibodies
Translate engineering concepts into experimentally validated candidates
Act as a scientific liaison with external CROs on antibody design and optimization projects as needed
Explore new methods that expand our computational antibody design capabilities, including making effective use of AI/ML-based tools
Conduct end-to-end broader computational analyses including multi-omics datasets for target analysis, as needed
Communicate scientific results and design rationale clearly to internal and external audiences

we are looking for a Failure Analysis Engineer.
Job Description:
Lead fault isolation and root cause analysis of memory and logic failures, including electrical, test, and yield failures, from initial failure signature through physical confirmation
Analyze failures at device, memory-cell, array, and circuit level, differentiating between design, test, device, process, and physical failure mechanisms
Correlate electrical characterization, memory-test and yield results, schematics, layout, and physical FA findings to identify and validate root cause
Develop and execute effective fault-isolation strategies, localizing failures down to the relevant cell, circuit, interconnect, or physical structure
Work closely with Design, Device, Test/Product, Process, Reliability, and Physical FA labs to solve complex failures and drive corrective actions
Improve FA methodologies, prepare and present engineering FA report on complex failure investigations

We are looking for a highly experienced a hands-on Compiler Engineer who embodies ambition and positivity.
Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Responsibilities:
Develop QM's compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
Conduct rigorous testing, debugging, and profiling to ensure the performance and correctness of compiler outputs.
Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.

We're seeking an exceptional experimental Physicist who combines deep physics expertise with strong software engineering capabilities and interpersonal skills. In this role, you'll focus on developing and implementing automated calibration solutions for several computing partners while also serving as a solutions expert for our European customer base. You'll work at the intersection of physics and software engineering, translating complex calibration requirements into robust automation frameworks. This position offers unprecedented exposure to diverse qubit types and architectures, enabling you to create groundbreaking calibration solutions while helping customers implement computing experiments. Prior hands on experience on calibrating Superconducting qubits and good understanding of the underlying physics is strongly encouraged.
Responsibilities:
Design and implement automated calibration frameworks for computing systems
Collaborate with the strategic partner's team to optimize calibration workflows
Lead technical implementation and integration of QM solutions for customers
Provide technical guidance on best practices for control systems
Translate complex customer requirements into actionable technical solutions
Manage technical relationships with accounts throughout Europe
Contribute to customer education and training materials

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and physicists.
Responsibilities:
Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

We're looking for engineers who are curious, innovative, and passionate about solving difficult system-level problems while embracing AI as part of modern engineering.
What you'll do:
Design and execute end-to-end integration and validation scenarios across multiple product domains.
Validate new features and ensure seamless interoperability between distributed system components.
Investigate complex cross-component issues through deep technical analysis and root-cause investigation.
Analyze application and system logs to identify issues and drive resolution.
Develop a strong understanding of system architecture, data flows, and interactions between services.
Collaborate closely with Software Engineers, Architects, Product Managers, and cross-functional engineering teams.
Participate in feature planning by providing an integration and validation perspective early in the development lifecycle.
Continuously improve validation methodologies, engineering processes, and overall product quality.
Leverage AI tools to accelerate troubleshooting, technical research, documentation, and engineering productivity.
Challenge existing approaches and introduce innovative ideas that improve engineering efficiency and product quality

We're looking for a Head of AI to own everything AI and ML at Sensos - from the agentic systems that power autonomous supply chain execution to the data science and modeling that turn our real-world data into an unfair advantage.
This is a founding leadership role. You'll be 100% hands-on from day one - researching, prototyping, and shipping models and AI capabilities directly into the platform - and over time you'll build and lead the data organization (data science, ML, and analytics). Put simply: you're the person who brings the "smart" into the platform.
We capture billions of real-world signals from IoT smart labels moving through global supply chains. That data is the raw material; your job is to turn it into prediction, detection, and trustworthy autonomous decisions.
What You'll Do:
Work with a wide variety of datasets - IoT sensor, GIS, time-series, tabular, and textual
Solve a range of business problems: time-series prediction, anomaly detection, scoring, and agentic flows
Design real-time inference pipelines
Develop and deploy ML models and LLM-based agents that serve tens of enterprise clients
Conduct exploratory data analysis, feature development, and correlation analysis
Take work all the way from prototype to production - you own it end-to-end
Partner closely with Product and Engineering to embed intelligence natively into the platform and shape the roadmap
Stand up the infrastructure: evaluation pipelines, model promotion, MLOps, and artifact management
Build, hire, and lead the data function (DS, ML, and analytics) as we scale
Lead patent registrations, technical presentations, and stakeholder discussions

We are looking for a Senior AI Researcher to join our foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.

In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.

You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

We believe in giving back to help those in need in the communities where we live and work. And are equally committed to creating a healthier environment and planet through our sustainability efforts.

Job Summary
In this hybrid fixed term role (2 days remote, 3 days in office), you will be part of the Materials & Biological Safety (MBS) team, responsible for creating and maintaining material data and biological safety information, for medical devices manufactured by our company. as Materials & Biological Safety Associate Specialist. You will be responsible for providing ongoing material and biological safety support for R&D and Engineering teams and regulatory submissions.

Essential Duties and Responsibilities
Local/site point of contact for internal employees, external clients and service providers regarding materials and biological safety of West Medical Devices platforms mainly VTD and V2B.
Support the design and development teams with materials research, evaluation, and selection. Liaise with Product Design, Validation & Verification and Project Managers/Leads to achieve project goals through high quality, accurate and timely completion of deliverables.
Responsible for directing external/third-party biocompatibility testing service providers and coordinate testing at external labs.
Coordinate, build and procure sample devices from the manufacturing plant for use in biocompatibility and/or chemical characterization evaluations.
Create (author) and/or review and approve biocompatibility test plans, protocols, and reports.
Create (author) and/or review and approve biological gap assessments for Medical Devices and manufacturing process.
Create (author) and/or review Biological Risk Assessment (BRA) /Toxicological Risk Assessment (TRA) in preparation for completing biocompatibility testing and chemical characterization programs.
Provide general ongoing materials and biological safety support with customer requests/inquiries, regulatory body or customer audits, and regulatory submissions.
Maintain thorough understanding of relevant ISO standards, quality system and laboratory testing accreditation requirements.

we are looking for a Algorithm and Applied AI Scientist (DSP).
As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.
A Day In Your Life:
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

We are expanding our System Validation Group and invite you to explore Space with us!

Outstanding opportunity to be part of a super-cutting-edge team working on systems above and beyond the globe in our company.


What you will be doing​:

Writing system validation Test plans , Design and develop Test programs to validated embedded system features and performance.

Conducting System Validation Test cycles to verify systems based on HW (analog and Digital), RF, SW, FW

Experience with Python or C programing, Git or other programming languages & source control.

Strong technical troubleshooting.

Develop tools and utilities for Lab & field testing, feature analysis.

High debug capabilities when work with the Software, systems, HW teams on complex issues.

Ability to move fast and decisiveness.

Building development environment.

Designing automate tests.

E2E ownership product from kickoff to production.

We are looking for a Senior Algorithm Developer with experience in NLP and LLMs, who is highly motivated, collaborative, and results-driven individual who can work both independently and as part of a multidisciplinary team. The ideal candidate has a strong can-do attitude, excellent problem-solving skills, and a passion for leveraging AI to solve meaningful challenges in text analysis in the medical domain.

As part of the AI team you will:

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows tailored to real-world challenges in clinical settings.

Prepare, process, and analyze complex medical data to support algorithm development and validation.

Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement.

Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions.

Research, develop and integrate cutting-edge text based alogirthms on medical text.

Apply NLP and Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support.

Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning.

Organize and actively participate in seminars, book clubs, and conferences.

Main Technical Stack:

NLP/LLMs: Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock

Infrastructure: AWS, Docker

Programming Languages: Python

Deep Learning Frameworks: TensorFlow, Keras, Pytorch