Senior Machine Learning Researcher – Clinical AI & Voice Analytics

Job DescriptionAbout UsAtChapter 2, we're not just scaling businesses—we're reshaping the future of talent acquisition withpassion, loyalty, and an unwavering commitment to results. By blending people, processes, and cutting-edge technology, we've redefined the traditional RPO model, delivering faster, smarter, and more cost-effective solutions that exceed expectations.As a global powerhouse, our team spans the UK, South Africa, the US, and Germany, with India as the next frontier in our ambitious expansion. Having grown 1300% in just two years, we are unstoppable fueling our momentum withhonesty, collaboration, and a shared vision.We arerelentlessin our pursuit of excellence, embedding world-class talent, pioneering technology, and compelling employer branding into organizations across industries. Our approach isn't just about recruitment—it's about building long-term success for our clients.We are loyal to our clients, to our vision, and most importantly, to each other—because we know that true success is built together.Chapter 2 – A scalable talent solution.For more information, please watch the Chapter 2 Evolution Machine Learning Researcher – Clinical AI & Voice AnalyticsLocation:BerlinType of role:PermanentSector:Digital Health / Medical Technology (Clinical AI & Machine Learning)Working environment:Office-based with flexibilityBreakdown of hybrid arrangement:Hybrid (minimum 3 days in the office) or remote (less preferred)Working days and hours:Monday to Friday, full timeLanguage requirements:Fluent in spoken and written EnglishBenefits:A competitive compensation package with the possibility of receiving company sharesMacBookiPhoneAccess to the Urban Sports Club so you can stay fit.The unique opportunity to positively influence the lives of millions of people.A dynamic start-up with an ambitious, interdisciplinary team.We are supporting an innovative digital health company that is redefining how heart failure is monitored and managed using advanced machine learning and voice analytics. Their technology enables earlier detection of clinical deterioration than traditional methods, improving outcomes for patients at scale.They are now looking for a Senior Machine Learning Researcher to join their growing R&D team and play a key role in developing clinical-grade AI models, translating cutting-edge research into deployable solutions used in real-world healthcare settings.This is not a pure research-in-isolation role. You will sit at the intersection of machine learning research, clinical science, and product development, working closely with medical experts and product teams in a fast-moving startup environment.What You'll DoResearch & Experimental Development:Design, execute, and interpret machine learning experiments on voice-based biomarkers for early detection of heart failure decompensationResearch and prototype ML approaches aligned with clinical objectives, delivering proof-of-concept modelsExplore signal processing and voice analytics techniques to model physiological relationships between vocal features and cardiovascular statesDesign experiments grounded in clinical hypotheses, with strong emphasis on validation and reproducibilityMaintain clean, reproducible research workflows (versioned datasets, tracked experiments, model registries)Clinical Alignment & Translational Impact:Develop a strong understanding of heart failure physiology and real-world clinical workflowsCollaborate closely with cardiologists and clinical researchers to ensure models reflect clinical realityAlign research methods with ongoing and future clinical studies, including data acquisition and endpoint definitionEnsure validation strategies meet clinical-grade and regulatory expectations (MDR / FDA)ML Operations & Productization:Translate research outcomes into deployable ML prototypes suitable for clinical evaluationBuild reusable, modular components (feature pipelines, model architectures) to support scalable ML workflowsWork closely with Product and Engineering teams to ensure models meet regulatory, security, and observability requirementsLeadership & Growth Opportunities:Influence the scientific direction of voice analytics and clinical ML researchDefine experimentation standards and validation criteria across the R&D teamMentor junior researchers, students, and interns, fostering a culture of rigor and learningSupport hiring and growth of the research teamPresent research outcomes internally and externally through publications and conferencesWhat We're Looking ForRequired:PhD in Machine Learning, Computer Science, Biomedical Engineering, Signal Processing, or a related field4+ years' experience in ML research or data science (healthcare or regulated environments strongly preferred)Strong end-to-end experimentation experience: data preprocessing, feature engineering, model training, evaluationProven track record of rigorous, reproducible research and translating findings into prototypes or publicationsComfortable collaborating with doctors and presenting complex concepts clearlyTechnical Stack:Python, PyTorch and/or TensorFlow, scikit-learnExperiment tracking tools (eg Weights & Biases)Audio and signal processing tools (eg librosa, OpenSmile or similar)Git-based workflows, Docker, and cloud platforms (GCP or similar)Strong Plus:Experience with clinical workflows and regulated AI systems (MDR / FDA)Publications in ML for health, speech analytics, or biosignal processingExperience building voice analytics or digital health ML solutionsBackground or strong interest in cardiovascular health or heart failure Email me jobs like this

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