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At Medison, we offer hope to patients suffering from rare and severe diseases. Through strategic partnerships with best-in-class biotech companies we commercialize innovative therapies across global markets. Medison is a dynamic, fast?paced company operating in dozens of countries across five continents. We are looking for passionate, agile, and adaptive leader who want to make a real impact and help shape the future of global healthcare. Our culture is rooted in care, agility, collaboration, and innovation, and we’re united by a shared purpose to make a meaningful difference. If you’re passionate about driving growth and delivering breakthrough innovation to patients, we invite you to be part of our journey. Reporting to Medison’s Head of Business Development, the Director, Search & Evaluation Business Development is a mission?critical leadership role that directly shapes Medison’s long?term growth and strategic direction, while advancing our core purpose of improving and saving patients’ lives worldwide. The position plays a foundational role in building Medison’s future pipeline by identifying high?impact opportunities that expand global access to the most advanced therapies. In this role, you will proactively identify best?in?class assets, lead rigorous scientific and clinical evaluations, and drive cross?functional diligence to enable high?quality, strategic partnering decisions. You will operate at the intersection of science, strategy, and execution, working in close partnership with Medical, Regulatory, and senior leadership to support disciplined growth and long?term value creation.

Responsibilities:

* Proactively screen, source, and prioritize best?in?class late?stage assets from Phase 2 through marketed products across rare and severe diseases, leveraging multiple platforms, databases, and industry sources.
* Build and manage a robust and high?quality pipeline of partnership opportunities aligned with Medison’s long?term growth strategy.
* Lead rigorous scientific and clinical evaluations by assessing clinical data versus current standard of care, mechanism of action differentiation, regulatory pathways, and competitive landscape.
* Develop clear and data?driven Target Product Profiles (TPPs) to support scientific, clinical, and strategic positioning.
* Conduct comprehensive research, including literature review and data synthesis, to deeply understand disease biology, unmet need, and therapeutic value.
* Engage directly with Key Opinion Leaders, clinical investigators, and external experts to validate assumptions and strengthen scientific and clinical assessments.
* Drive cross?functional diligence by partnering closely with function leads, Medical and Regulatory, Commercial, Legal, Finance, and other relevant stakeholders.
* Support transaction strategy and execution by providing scientific and clinical input into transaction strategies, diligence materials, and contractual discussions.
* Prepare clear, concise, and decision?ready materials, including evaluation summaries, one?pagers, presentations, and business cases for senior leadership and governance forums.
* Continuously refine and strengthen Search and Evaluation processes, criteria, and scientific convergence frameworks to improve rigor, consistency, and speed of decision?making.
* Act as a trusted thought partner to leadership by surfacing insights, risks, and recommendations that directly influence portfolio strategy and Medison’s growth trajectory.
* Represent Medison externally in partnering discussions, scientific meetings, and industry conferences to strengthen Medison’s visibility and network.

City:
Petah Tikva

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

The ideal candidate will be responsible for maintaining and optimizing key technologies, including Okta, Jamf, Intune, Jira, Google Workspace, and Slack.

Key Responsibilities:
Manage and maintain Okta for identity and access management.
Oversee administration of Jamf for managing Apple devices.
Administer Intune for mobile device management and security of our Windows devices.
Administer and support Google Workspace applications and services.
Manage Slack for team communication and collaboration.
Monitor system performance and troubleshoot issues as they arise.
Implement and maintain security protocols to protect company data.
Provide technical support to staff and resolve IT-related issues.
Collaborate with other departments to understand and meet their IT needs.
Maintain documentation of IT processes and systems.

Our data science team is seeking a highly skilled AI researcher with expertise in modern AI methods (e.g., multi-agent architectures, reinforcement learning on LLMs) and a passion for transforming theoretical challenges into real-world products.
In this role, you will leverage our unique clinical datasets to design and build groundbreaking solutions that provide medical benefits to millions of people. You will take full end-to-end ownership of your models - from ideation and research to production deployment and ongoing monitoring.
Working across both research and production environments, you should have proven experience in developing and deploying machine learning algorithms, along with strong interpersonal and collaboration skills. We value independent thinkers who are also proactive doers.

What Youll Be Doing:
Develop clinical AI models to support Ks clinic workflows, with a focus on patient-facing applications
Design and implement scalable, efficient pipelines for data preprocessing, information extraction, and model training
Stay up to date with the latest AI research and best practices, and translate them into production-ready solutions
Communicate complex technical concepts and solutions to non-technical stakeholders
Collaborate with MLE and AI engineering teams to deploy scalable, robust solutions