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Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Establishing scientific excellence in digital biomarker development for healthcare innovations. PhD in quantitative discipline with large-scale data analysis focus required. 4-day work week, company car for private use.
Requirements
- PhD in quantitative discipline with focus on large-scale data analysis
- Proven track record in designing and validating digital endpoints or biomarkers
- Hands-on experience processing and analyzing large-scale data streams from digital health technologies
- Experience building machine learning pipelines for time-series and multimodal sensor data
- Strong expertise in digital biomarker/endpoint development, including validation and regulatory aspects
- Solid understanding of modern machine learning and AI methods applied to digital health and behavioral data
- Experience with scalable data processing and ML frameworks
- Familiarity with generative AI and large language models, interest in emerging paradigms
- Excellent stakeholder management skills
- Strong communication and scientific writing skills
Tasks
- Build and establish scientific excellence in digital biomarker development
- Lead identification, development, and deployment of novel digital endpoints
- Spearhead design and validation of machine learning algorithms
- Develop data processing pipelines for digital health data
- Extract clinically relevant insights from high-volume digital health data
- Process multimodal time-series data from digital devices
- Ensure scientific rigor and clinical validity of data processing
- Embed digital health technologies within evidence generation strategies
- Drive acceptance of digital endpoints in clinical trials
- Contribute to key regulatory filings and publications
- Advocate for digital endpoint adoption within R&D
- Explore and integrate emerging AI paradigms
- Support data interpretation with AI systems
- Automate workflows using AI systems
- Champion transformation efforts in Digital Health Technologies
Work Experience
- 7 years
Education
- Doctoral / PhD
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Python
- AI/ML
- deep learning
- representation learning
- time-series modeling
- generative AI
- large language models
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Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Establishing scientific excellence in digital biomarker development for healthcare innovations. PhD in quantitative discipline with large-scale data analysis focus required. 4-day work week, company car for private use.
Requirements
- PhD in quantitative discipline with focus on large-scale data analysis
- Proven track record in designing and validating digital endpoints or biomarkers
- Hands-on experience processing and analyzing large-scale data streams from digital health technologies
- Experience building machine learning pipelines for time-series and multimodal sensor data
- Strong expertise in digital biomarker/endpoint development, including validation and regulatory aspects
- Solid understanding of modern machine learning and AI methods applied to digital health and behavioral data
- Experience with scalable data processing and ML frameworks
- Familiarity with generative AI and large language models, interest in emerging paradigms
- Excellent stakeholder management skills
- Strong communication and scientific writing skills
Tasks
- Build and establish scientific excellence in digital biomarker development
- Lead identification, development, and deployment of novel digital endpoints
- Spearhead design and validation of machine learning algorithms
- Develop data processing pipelines for digital health data
- Extract clinically relevant insights from high-volume digital health data
- Process multimodal time-series data from digital devices
- Ensure scientific rigor and clinical validity of data processing
- Embed digital health technologies within evidence generation strategies
- Drive acceptance of digital endpoints in clinical trials
- Contribute to key regulatory filings and publications
- Advocate for digital endpoint adoption within R&D
- Explore and integrate emerging AI paradigms
- Support data interpretation with AI systems
- Automate workflows using AI systems
- Champion transformation efforts in Digital Health Technologies
Work Experience
- 7 years
Education
- Doctoral / PhD
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Python
- AI/ML
- deep learning
- representation learning
- time-series modeling
- generative AI
- large language models
About the Company
SUSONITY
Industry
Pharmaceuticals
Description
Das Unternehmen entwickelt Medikamente, intelligente Geräte und innovative Technologien in Therapiegebieten wie der Onkologie, Neurologie und Fruchtbarkeit.
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