דרושים » רפואה ופארמה » Clinical Affairs Team Lead

We are looking for an experienced Clinical MD to manage and oversee our clinical development plan and the medical aspects of advanced-stage clinical trials. In this role, the Clinical MD will address medical inquiries throughout the trial process, contribute to protocol development, and participate in ongoing trial monitoring, including preparing Clinical Study Reports (CSR).

Additionally, the Clinical MD will work closely with internal and external stakeholders to shape the clinical strategy, helping to define the optimal trial path and medical indications required for FDA approval.

Key Responsibilities
Provide medical consultation and support throughout advanced clinical trials, demonstrating a deep understanding of the clinical research process.
Contribute to developing clinical trial protocols, ensuring scientific accuracy and full regulatory compliance.
Oversee the execution of clinical studies, including process monitoring and preparation of Clinical Study Reports (CSRs) summarizing key findings.
Participate in defining the optimal types of trials and clinical indications to support a strong case for FDA approval.
Manage and support the execution of complex clinical programs, including multiple concurrent trials designed to generate comprehensive and robust data.
Supervise small-scale pharmacological studies focusing on pharmacokinetic (PK) and pharmacodynamic (PD) parameters.
Lead preparations for regulatory meetings (e.g., IND), including analysis and interpretation of preclinical pharmacology and PK/PD data.
Define clinical trial objectives and endpoints as part of the overall strategy, ensuring alignment with both medical standards and regulatory expectations.

We are looking for a nonclinical lead with a toxicology and nonclinical drug development background to join our team. The role involves managing all nonclinical studies, scientific review of study plans, regulatory document review and writing, and participation in strategic discussions.

Key Responsibilities
Management and monitoring of all non-clinical studies
Review and oversee nonclinical studies Provide expert evaluation and guidance on nonclinical study plans and reports.
Regulatory support Review regulatory documents as a nonclinical SME and contribute to regulatory writing (IB, submission documents) as needed.
Strategic input in nonclinical development Offer expert guidance on nonclinical development strategies.
Participation in team meetings provide updates on study monitoring
Expert consultation Take part in dedicated expert meetings as needed.

venture-backed, fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup, a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

About the role:
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 codeand are eager to contribute to innovative, impactful do good projects in the digital health spacewed 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.

a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. has offices in New York and Tel Aviv. For more information.
About the Role & Responsibilities
Join research engineering team as a senior software engineer.
The research engineering team is responsible for developing data and model pipelines for research department.
The team focuses on ensuring that researchers have the best-in-class infrastructure for building and delivering data science and machine learning.
As a research software engineering tech lead you will be responsible for designing and implementing core flows in the team. You will also mentor junior developers and lead through technical excellence.