Senior Machine Learning Researcher (Clinical AI & Voice Analytics)

At Noah Labs, we are pioneering a new era of digital cardiology. Our flagship technology, Noah Labs Vox, applies advanced machine learning to the human voice to detect early signs of heart failure worsening—earlier than any existing method—transforming how clinicians monitor and manage their patients.

Building on a strong foundation of international clinical trials, we are entering the next chapter: bringing this breakthrough technology to market and expanding the clinical evidence base to establish Vox as the new standard of care.

Together with our deployed remote monitoring platform, Noah Labs Ark—already trusted by more than 200 cardiologists and 1,000+ patients across Europe and the United States—Noah Labs Vox will scale our remote monitoring ecosystem and shape the future of cardiovascular care.

Tasks

1. Core Responsibilities

A. Research and Experimental Development

• Plan, design, execute, and interpret ML experiments on voice-based biomarkers for heart failure decompensation prediction.
• Research and prototype machine learning techniques aligned with clinical objectives, delivering proofs of concept for promising methods.
• Explore voice analytics and signal processing approaches to uncover and model physiological relationships between vocal features and cardiovascular states, with a focus on early detection of heart failure decompensation.
• Use data-driven clinical hypotheses to design experiments with rigorous validation and reproducibility.
• Collaborate closely with medical stakeholders to translate hypotheses into meaningful data experiments.
• Maintain a clean, reproducible development environment (versioned datasets, tracked runs, model registries).

B. Clinical Insight and Translational Alignment

• Develop deep understanding of heart failure decompensation, including physiological mechanisms and clinical workflows for monitoring and management.
• Work closely with cardiologists, clinical researchers, and study coordinators to ensure model design, data acquisition, and interpretation align with real-world clinical practice.
• Align research methods and milestones with ongoing and planned clinical studies (data acquisition design, endpoint definition, monitoring processes).
• Ensure analytical pipelines, validation strategies, and results meet clinical-grade standards and comply with MDR/FDA regulatory expectations.

C. ML Operations and Clinical Productization

• Translate research findings into actionable insights and deployable ML prototypes suitable for clinical workflows and real-world evaluation.
• Design and maintain reusable, modular components (feature stores, preprocessing pipelines, model architectures) to support scalable, clinical-grade ML workflows.
• Collaborate closely with the Product team to ensure deployment meets regulatory, security, and observability requirements for clinical environments.

2. Leadership and Growth Opportunities

A. Scientific Direction and Strategic Influence

• Shape the research direction for voice analytics and machine learning at Noah Labs by defining methodologies, establishing experimentation standards, and ensuring alignment with company objectives.
• Promote scientific rigor, curiosity, and collaboration across the R&D team, ensuring technical excellence and clinical relevance.
• Coordinate multidisciplinary projects, define milestones, and manage interfaces with Product, Clinical, and Engineering teams.
• Establish rigorous validation criteria to ensure the reliability and clinical value of research outcomes.

B. Mentorship and Team Development

• Lead and mentor team members by defining clear goals, conducting regular reviews, and fostering a culture of efficiency, accountability, and continuous learning.
• Supervise Master’s theses and student interns, providing structured mentorship with clear deliverables and ongoing feedback.
• Support hiring efforts by identifying, interviewing, and onboarding top R&D talent.

C. Scientific Communication and Clinical Impact

• Present research outcomes and clinical insights to internal teams, senior researchers, cardiologists, and external medtech partners.
• Represent Noah Labs within the scientific community through publications, conference presentations, and professional engagements.
• Communicate progress, challenges, and strategic recommendations to the CTO and CMedO to support