Clinical Research Associate

Resilience

🏨 THE COMPANY Resilience Care, a major player in remote patient monitoring and a partner in clinical research, is a French company founded in 2021 with a mission: to provide better care. The company offers remote monitoring solutions in oncology, gastroenterology, and psychiatry deployed routinely for 35,000 patients in more than 200 healthcare facilities, and as part of more than 20 academic and industry clinical studies. Resilience Care puts data at the service of care and therapeutic innovation with the ambition of enabling every patient to benefit from personalized medicine. The Legal Department supports the business across negotiation, contract management, privacy, regulatory monitoring, and internal governance, with a strong focus on pragmatic, operational legal support. We are looking for a Legal Intern who will play a central role in strengthening our legal operations and knowledge management, including the concrete integration of AI tools in the Legal Department. 📝 YOUR ROLE In a nutshell: For a 4–6 month internship starting in September, you will join the Legal team to help structure day-to-day legal operations, support contract work, and produce clear, practical materials that enable internal teams to move fast while staying compliant. Your impact: streamline legal support workflows, improve documentation reliability, and make key legal topics easier to understand across the company (contracts, privacy, compliance). What you’ll do day-to-day: 1. Legal Operations & Knowledge Management (core mission) You will help structure and improve the Legal Department’s ways of working and interacting with the other teams, including: * Identifying and implementing high-impact AI use cases for legal ops and contract work, with a strong focus on responsible and secure usage, such as improving operational workflows (request triage…). * Contributing to legal knowledge management to explain key concepts and help the other teams meeting their objectives (training materials, user-friendly guides…). 2. Contracts * Reviewing contracts (customers, partners, vendors), including data protection and intellectual property clauses. * Helping improve contract templates and adoption. * Contributing to maintain the contract register. 3. Data protection (GDPR) * Helping collect and analyze information on new processing activities and new vendors. * Contributing to maintaining the Record of Processing Activities, the list of sub-processors and privacy documentation. 4. Legal monitoring * Analyzing regulatory updates and turning them into understandable and actionable guidance. * Supporting AI Act implementation in coordination with Quality and Cybersecurity teams. ✨ YOUR TEAM * Your future colleagues: Lucile and Mathieu – Legal Counsels * Your manager: Maurice – Head of Legal * Team extra: We love food and travelling 👤 WHAT WE’RE LOOKING FOR * ⚙️ You’re a great fit if you can: * Show a strong interest in legal operations and tooling. * Be curious about tech, data, and regulatory topics. * Analyze and synthesize legal information into clear takeaways. * Write clearly, in a structured and educational way (FR + EN). * Support contract work (review, identify key issues, propose improvements). * Understand GDPR fundamentals and associated risks (or be willing to learn fast). * Organize documentation rigorously (templates, registers, versioning). * Use collaborative tools (Notion, Google Workspace) and work cross-functionally. * 🙂 You’re a great fit if you have: * Curiosity about AI and a pragmatic approach to testing and iterating (no need to be technical). * Strong communication skills and good stakeholder management with non-legal teams. * Autonomy, sound judgment on when to escalate, and a solution-oriented mindset. * Currently enrolled in (or recently graduated from) Law School, Engineering School, or Business School (or equivalent), with an interest in IT and legal ops. 💛 WHY JOIN US? * You will be at the center of our Legal team structuration, not just supporting tasks. * You will gain real legal ops experience. * You will learn how to deploy AI in a legal department responsibly, with real deliverables (governance, agents). * You will help internal teams master legal concepts through training and practical guides. HIRING PROCESS 1. Screening call (Elena – 20 min) – Confirm motivation, logistics, availability. 2. Manager fit (Maurice – 45)– Deep dive into skills, approach, practical examples. 3. Case Study (Lucile - 30/45 min) – Assess synthesis and writing quality (contract / memo / guide). GDPR : Your personal data will be processed for the purposes of recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. They will be available only for people involved in the process and erased after 2 years of inactivity. Under GDPR and as Resilience attach great importance to privacy, please note that you have the right to request access to your personal data, to request that your personal data be rectified or erased. The Data Protection Officer can be contacted at privacy@resilience.care For more information, please check our privacy policy.

Raidium

About the company Raidium is building a foundation Model for precision medicine in radiology. Our first release, Curia is already state of the art. We aim to broadly democratize  access to imaging biomarkers for both clinical and research applications through a biomarker factory. Our model is embedded in a new type of solution for the radiologist that enables a revolutionary AI-native workflow. Thanks to a 16M€ seed round raised in November 2024, Raidium is expanding its team. We are developing a medical device designed to operate at the intersection of deep learning and diagnostic precision. While our Quality Management System (QMS) is already established and operational, we are now entering a critical phase of our growth. We have initiated the formal regulatory pathways (MDR/FDA) to bring our AI-native solutions to the global market. The team The founders of Raidium are experts in radiology and machine learning from Owkin, bringing together extensive experience from both fields. Paul Herent, CEO, is a radiologist and former interne des hôpitaux de Paris, with a Cogmaster (ENS) and PSL background, and has published pioneering research on deep learning in radiology.  Pierre Manceron, CTO, is a Centrale Paris engineer specialized in Applied Mathematics and Machine Learning, who previously led machine learning projects at Owkin.  Sebastian Schwarz, COO, holds a double degree in X-HEC Data Science & Business, who previously worked as a Strategy & Operations Director at Owkin, where he developed Owkin’s strategic vision and operational agency. Our team brings together strong academic foundations (Polytechnique, Ponts, MVA) and deep medical, AI, and business experience from leading medical and tech companies such as Owkin, Cardiologs, Datadog, and Meta, all united by a mission to revolutionize radiology through cutting-edge technology. The role  As the Head of QARA at Raidium, you will play a pivotal role in defining our regulatory strategy and ensuring our AI-native solutions meet the highest standards of safety and excellence. Lead the global regulatory strategy (MDR, FDA) to get our AI medical devices to market Manage the submission process, coordinating technical files and clinical data to secure product certifications and clearances. Manage and mentor a Junior QARA, overseeing their daily tasks and supporting their professional growth within the team. Maintain and improve our QMS, keeping our quality processes lean and effective as the company scales. Act as the main contact for Notified Bodies and authorities, handling all external audits and regulatory communications. Partner with R&D and Product teams to ensure "Compliance by Design," guiding the team through risk management and software standards.

Doctolib

WHAT YOU WILL DO At Doctolib, we're revolutionizing healthcare delivery through advanced AI systems focused on medical reasoning. As a Senior Staff Research Scientist, you'll develop cutting-edge AI solutions that enhance clinical decision-making and support healthcare professionals in their daily practice. You'll work at the intersection of machine learning and healthcare, creating models that can understand medical knowledge, reason through complex clinical scenarios, and assist medical practitioners in providing better care. Your responsibilities include (but are not limited to): * Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale. * Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI. * Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences. * Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance. * Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices. WHO YOU ARE * Technical Expertise: * PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field; Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus; * Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI. * Strong programming skills in Python (and ideally experience with ML frameworks such as PyTorch or JAX). * Familiarity with modern data tools and scalable training on large datasets. * Innovator & Problem Solver: * Track record of independently driving research and translating it into real-world applications. * Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly. * Curiosity and drive to learn, research, and apply new machine learning techniques. * Collaborative & Communicative: * Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences. * Passionate about sharing knowledge and contributing to a culture of learning and innovation. * Mission-Driven: * Motivated by Doctolib’s mission to make healthcare better for all. Eager to solve meaningful problems with technology. * Detail-oriented, rigorous, and committed to delivering high-quality, production-ready solutions. What we offer  * Free comprehensive health insurance for you and your children * 25 days of paid vacation per year, plus up to 14 days of RTT * Free mental health and coaching services through our partner Moka.care * Work from abroad for up to 10 days per year thanks to our flexibility days policy * Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib * A subsidy from the work council to refund part of the membership to a sport club or a creative class * 50% reimbursement of your public transport subscription * Parent Care Program: receive one additional month of leave on top of the legal parental leave * For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support * Relocation support in case of international mobility * Access to the best AI tools for coding, development and dedicated training  The interview process   * HR Screen  * Call with Research Team Member 30 mins * Scientific Presentation + Case Study 1 hour 30mins * Behavioral Interview 1 hour 15mins * At least one Reference check   Job details  * Permanent position  * Full Time * Location: Doctolib Paris office in Levallois Perret * Work mode: Hybrid (3 days/week in the office) * Start date: ASAP   If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.