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לפני 7 שעות
חברה חסויה
Location: Tel Aviv-Yafo
we are looking for a Clinical Data Labeler.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze clinical textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.
Requirements:
Clinical knowledge and experience or relevant recent studies (e.g. nurse, paramedic, medical student, etc.)
Language Proficiency: You are fluent in English at a native or near-native level, with strong written and verbal communication skills. Spanish proficiency is an advantage.
Goal-Oriented & Detail-Focused: You are highly motivated, able to meet deadlines, and work efficiently while maintaining accuracy and attention to detail.
Digital Literacy: You are comfortable working with digital tools and AI-driven platforms, adapting quickly to new technologies and workflows.
Team Player & Collaborative Mindset: You work well in a team-oriented environment, contributing to shared goals while maintaining clear and open communication.
Customer-Centric Approach: You are dedicated to customer success, ensuring high-quality outputs that align with the companys mission and values.
This position is open to all candidates.
 
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1 ימים
Location: Tel Aviv-Yafo
Job Type: Part Time and Hybrid work
Job description
Provide operational and scientific support for global clinical validation and research studies under the guidance of the Director of Clinical & Scientific Affairs. Key responsibilities include supporting protocol development, study reports, scientific conference deliverables (posters and presentations), and regulatory documentation while collaborating cross-functionally to ensure rigorous and timely study execution.

Proactively contributes to clinical study processes by supporting the execution and tracking of clinical operations, ensuring compliance with company SOPs, ICH-GCP guidelines, regulatory requirements, and patient safety standards.

Assists in developing and writing clinical study protocols, study plans, Ethics/IRB submission packages, CRFs, and clinical study reports.

Facilitates training for clinical study teams according to study protocols and maintains strong relationships with investigators and external experts to support effective project delivery.

Supports data quality initiatives and helps implement activities required for timely, high-quality deliverables (e.g., collaborating with statisticians and data managers, participating in data review).

Analyzes, interprets, and presents clinical study results to internal and external stakeholders, including contributing to scientific peer-reviewed publications.
Requirements:
Graduate student in the advanced stages of PhD (optional MD) in Life Sciences, Biomedical Engineering, or a related discipline.

Previous experience in conducting medical device or IVD clinical studies - Significant advantage.

Knowledge of oncology, pathology, medical device/IVD clinical development, and a deep understanding of molecular pathways and biopharma development in oncology - Preferred.

Experience contributing to research planning, study design, clinical operations, data handling, biostatistics, scientific posters, presentations, and manuscript drafting.

Demonstrated ability to work both independently and collaboratively to execute complex study plans, protocols, methodologies, and study timelines under general guidance.

Solid understanding of the clinical operations value chain, with a proven track record of supporting study planning, execution, data management, and clinical study reporting.
This position is open to all candidates.
 
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