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Senior AI/ML Data Scientist (m/w/x)
Developing AI-based solutions for healthcare, transforming sensor data into digital measures. 6+ years in signal processing or ML within pharma/healthcare settings required. Collaboration with clinical scientists and biostatisticians.
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Anforderungen
- MSc or PhD in Computer Science, Machine Learning, Statistics, Electrical Engineering, Biomedical Engineering, or related field
- 6+ years experience in signal processing or machine learning in biomedical, pharma, or healthcare innovation settings
- Expertise in sensor data analysis and signal processing
- Developing algorithms or digital measures for healthcare or clinical research
- Experience bridging advanced sensor analytics with rigorous statistical frameworks
- Evaluation of psychometric properties for valid evidence generation
- Excellent communication skills
- Problem-solving skills
- Teamwork skills
- Capacity for independent thinking
- Ability to make decisions based upon sound principles
- Commitment to reproducible research principles
- Ensuring sensor-derived datasets are harmonized, documented, and audit-ready
- Proficiency with scientific programming languages
- Familiarity with high-performance computing infrastructure
- Familiarity with machine learning experiment monitoring workflows
- Expertise in best software engineering practices
- Expertise in production infrastructure
- Experience with MLOps frameworks
- Experience with Agile methodologies
- Exposure to regulated software development as a plus
- Respect for cultural differences in global workplace interactions
- Preferred experience with wearable device data
- Preferred skills: Python, R, Git, Scrum, GitLab or Jira, Docker, shell scripting, Slurm/LSF
- Experience developing or validating ML models for regulated environments or real-world datasets
- Ability to deliver validation reports, quality assurance protocols, and technical documentation
- Familiarity with high-performance computing
- Familiarity with ML experiment management frameworks
- Contributions to scientific publications or open-source projects in healthcare AI
Aufgaben
- Design, build, and deploy AI-based solutions.
- Transform raw sensor data into interpretable digital measures.
- Design and execute analytical frameworks to extract evidence from sensor streams.
- Design and implement advanced ML algorithms for clinical trial data, following software engineering practices, documentation, and validation.
- Collaborate cross-functionally with clinical scientists, digital business leads, biostatisticians, and biomarker leaders.
- Present technical insights to scientific and non-technical audiences.
- Contribute to publication of findings and internal knowledge development.
- Maintain awareness of trends in ML, digital biomarkers, and clinical AI.
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