Confirmed Clinical Data Analyst

Confirmed Clinical Data Analyst About us 💙 Implicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence. Thanks to our leading cardiac remote monitoring platform, it’s way easier to manage data and predict patient issues, so that cardiologists can bring the best care at the best time. To put it simply, when you join Implicity, you’ll contribute to save lives with us 💓🩺 Dr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016. 10+ years later, a French Start-Up / Scale-Up 🐓 is a real game changer in the healthcare market, literally shaping the future of cardiology. 250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients. 👩🏻👨🏿👱🏻 At Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together. This amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market. In a nutshell, thanks to Implicity: 🏆 Patients get a far better care 🏆 Doctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden 🏆 Healthcare payers (Social Security in France) eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing) It can start as soon as you can! Job and recruitment context ⭐️ Opening line ⭐️ We are looking for a Confirmed Clinical Data Analyst / Biostatistician to conduct retrospective studies using large clinical and healthcare administrative datasets. This role involves analyzing data to generate insights for improving patient outcomes and contributing to research. Requires strong analytical and statistical skills, and the ability to collaborate effectively. 🤝 Reporting structure Direct report: Giulia ( Head of Clinical Affairs ) Collaboration: You will work adjacent to our Data Science team 🧠 Your missions As Confirmed Clinical Data Analyst, and reporting to Giulia (Head of Clinical Affairs) here are your key responsibilities: Statistical strategy: Lead the end-to-end biostatistical process, from initial study design and SAP authoring to final SAR reporting Advanced modeling: Execute robust statistical analyses on longitudinal datasets, ensuring appropriate methodologies are used to mitigate common observational study biases. Outcome reporting: Evaluate clinical and healthcare resource utilization metrics to support scientific evidence generation. Scientific collaboration: Provide the statistical foundation for peer-reviewed publications and high-impact international congress submissions. At Implicity, you will have a weekly meeting with your manager, to help you succeed in your mission, and continuously improve your skills. Each team works with quarterly OKR, to be crystal clear, fair and honest with your targets. The annual appraisal is a shared exchange moment, focused on your development. 🥉 Your background Master's degree in Biostatistics, Statistics, Data Science , or related field (Ph.D. preferred). Proven experience in Real-World Evidence (RWE) and Advanced Survival Analysis Database experience: Proven expertise in working with large-scale administrative claims databases, specifically the French SNDS/PMSI or similar national health data systems. Advanced statistics: Strong command of survival analysis and causal inference methodologies, with expertise in longitudinal modeling and complex weighting schemes to address selection and confounding biases. Epidemiological rigor: Experience in managing complex inclusion/exclusion criteria and mitigating common observational study biases. 🥈 Your hard skills Methodological expertise: Strong command of longitudinal data modeling and causal inference techniques to address selection and confounding biases. Clinical documentation: Ability to design and draft formal Statistical Analysis Plans (SAP) and Statistical Analysis Reports (SAR) Proficiency in software: Expert-level skills in SQL and R or Python for advanced statistical computing. Data management: Advanced understanding of data manipulation and the ability to define and implement complex inclusion/exclusion criteria. 🥇 Mindset and soft skills: Delivery ownership: Strong sense of responsibility and rigor in task follow-up, with a proven ability to meet delivery commitments and deadlines. Estimation skills: High ability to analyze requirements and provide reliable timelines for complex statistical workflows. Communication: Excellent communication skills to transparently report progress and translate data findings into clear clinical insights. Team spirit: A thoughtful team player, acting with integrity and looking to make colleagues successful in a fast-paced environment. Fluent in both English and French Recruitment process 📞 1st HR Contact with Astrid/Margot (Recruiter) – 30-45 min 👥 Manager interview with Giulia (Head of Clinical Affairs) – 1 hour - On-site or Remote 🧠 Technical Test with Marika (Lead) & Younès (Data Science team) – 1 hour - On-site or Remote 🤖 Fit Interview with Arnaud (CEO) - 1 hour - On-site 🤝 Meet the Team – 30 min - On-site or Remote 📞 Reference Check & Offer (usually follows within 72 hours 🤞) Depending on your availability, the recruitment process should last less than 3-4 weeks. General information 💰 Salary For this job (type of contract), you have a base salary depending on your experience Eligible for stock option (BSPCEs) according to the company's existing rules 👍 Benefits Health care plan: Alan (50% employer) Luncheon voucher: 9€ (50% employer) Transport: 50% of your pass OR sustainable mobility pass 📍 Remote work & Location 3 days per week (progressively) Location: 29 rue du Louvre, 75002, PARIS Département Clinical Role Clinical Data Analyst Locations Paris Remote status Hybrid Yearly salary €50,000 - €55,000 About Implicity Our mission is to improve clinic operations and the standard of care by harnessing the full power of data. Implicity aspires to transform cardiology practice and design predictive solutions for tomorrow by combining a state-of-the-art software technology with datascience, machine learning, and artificial intelligence. We combine our cutting-edge technology, our unique user-centric design and our regulatory knowledge to drive innovation in medical centers all over the world. Founded in 2016 Coworkers +100