Vitalograph
Clinical Data Scientist
VitalographIreland11 hours ago
Full-timeRemote FriendlyManufacturing
Job Description

Clinical Data Scientist

Reporting to: Senior Manager – Clinical Data Science

Working within the Clinical Data Science Team

Location: Remote – You must live within a 3hours of Irelands time zone.

Why Join Us?

  • Generous pension scheme with company contributions.
  • Company contributed healthcare scheme.
  • Death in service benefit (4x annual salary).
  • A collaborative, friendly work culture.

Role Overview

The selected candidate will work within the Clinical Data Science Team supporting projects relating to:

  • Development, validation and deployment of AI/ML and signal processing algorithms for clinical applications.
  • Collaborative research projects with academic and/or clinical partners involving analysis of biomedical signals and clinical data.

The selected candidate will also be required to present project and analysis service-related information to Vitalograph senior management, clinical trial customers and academic or clinical research collaborators. It will be necessary to work cross functionally with other teams such as Data Analyst, Engineering, Software, Data Management and Regulatory Affairs teams.

Responsibilities

  • Design, develop, and validate biomedical signal processing and AI/ML-based algorithms to support deployment of objective digital health measures.
  • Explore and model biomedical and clinical data through signal analysis and visualization.
  • Develop deployable and well-documented code in Python and/or MATLAB.
  • Integrate analysis pipelines into existing and future software platforms for commercial use.
  • Maintain up-to-date knowledge of the state-of-the-art in AI/ML, digital health, wearables and related fields.
  • Supporting the Clinical Data Science Team with other tasks as delegated.
  • Educational requirements:
  • Master’s degree in Engineering, Science, Computer Science, Data Science or other related discipline.

Key Skill Requirements

  • 3 years’ experience in biomedical or audio signal processing.
  • 3 years’ experience in data science, AI/ML modelling and algorithm development.
  • 3 years’ experience in at least one statistical/data analysis programming language such as MATLAB, Python.
  • Experience with version control (Git) and collaborative software development.
  • Proven experience in scientific research, data analysis and technical reporting.

Preferred:

  • PhD in Engineering, Science, Computer Science, Data Science or other related discipline.
  • Experience in audio signal processing for clinical applications.
  • Experience with deep learning architectures (e.g., CNNs, RNNs, Transformers, GANs, Foundational AI).
  • Experience in deep learning frameworks (e.g., TensorFlow, PyTorch, MATLAB Deep Learning).
  • Experience in applying statistical methods and reporting results.
  • Record of scientific publications in biomedical signal processing, AI/ML or digital health.

Key Competencies:

  • Excellent problem solving and innovation skills with a research-focused mindset.
  • Strong motivation, creativity, and inquisitiveness.
  • Effective verbal and written communication.
  • Ability to work both autonomously and within a team.
  • Strong ability to collaborate effectively with internal and external stakeholders regardless of seniority.
  • Passion for improving patient outcomes through digital health technologies.

Key Measures of Success:

  • Delivery of high-quality, validated algorithms and analysis approaches within agreed timelines.
  • Ability to communicate effectively with internal and external stakeholders.
  • Contributions to advancing digital health research and commercial development.

Key Skills

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