SUSONITY
Director Real World Evidence (N&I)(m/w/x)
Full-time/Part-timeOn-siteManagement
Darmstadt
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SUSUSONITY
Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Darmstadt
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SUSONITY and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Data Scientist - AI and Machine Learning Specialist(m/w/x)
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SUSUSONITY
Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Darmstadt
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SUSONITY and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SUSONITY
Industry
Pharmaceuticals
Description
Das Unternehmen entwickelt Medikamente, intelligente Geräte und innovative Technologien in Therapiegebieten wie der Onkologie, Neurologie und Fruchtbarkeit.
Not a perfect match?
- SUSONITY
Director Real World Evidence (N&I)(m/w/x)
Full-time/Part-timeOn-siteManagementDarmstadt - SUSONITY
Senior Director, Real World Data Methodologies and Solutions(m/w/x)
Full-time/Part-timeOn-siteSeniorDarmstadt - Döhler
Data Scientist - AI and Machine Learning Specialist(m/w/x)
Full-timeOn-siteExperiencedDarmstadt - SUSONITY
Head of Precision Medicine(m/w/x)
Full-timeOn-siteSeniorDarmstadt - Döhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Full-timeOn-siteNot specifiedDarmstadt