SUSONITY
Director Real World Evidence (N&I)(m/w/x)
Vollzeit/Teilzeitnur vor OrtManagement
Darmstadt
Neuer Job?Nejo!
Die KI-Suchmaschine für Jobs
SUSUSONITY
Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Darmstadt
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 7 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- AI/ML
- deep learning
- representation learning
- time-series modeling
- generative AI
- large language models
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SUSONITY erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- SUSONITY
Senior Director, Real World Data Methodologies and Solutions(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorDarmstadt - Döhler
Data Scientist - AI and Machine Learning Specialist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenDarmstadt - SUSONITY
Head of Precision Medicine(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - Döhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Vollzeitnur vor OrtKeine AngabeDarmstadt
SUSUSONITY
Associate Director in Data Science, Digital Health Analytics and Innovation(m/w/x)
Darmstadt
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 7 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – fließend
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- AI/ML
- deep learning
- representation learning
- time-series modeling
- generative AI
- large language models
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens SUSONITY erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
SUSONITY
Branche
Pharmaceuticals
Beschreibung
Das Unternehmen entwickelt Medikamente, intelligente Geräte und innovative Technologien in Therapiegebieten wie der Onkologie, Neurologie und Fruchtbarkeit.
Noch nicht perfekt?
- SUSONITY
Director Real World Evidence (N&I)(m/w/x)
Vollzeit/Teilzeitnur vor OrtManagementDarmstadt - SUSONITY
Senior Director, Real World Data Methodologies and Solutions(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorDarmstadt - Döhler
Data Scientist - AI and Machine Learning Specialist(m/w/x)
Vollzeitnur vor OrtBerufserfahrenDarmstadt - SUSONITY
Head of Precision Medicine(m/w/x)
Vollzeitnur vor OrtSeniorDarmstadt - Döhler
Data Scientist - SAP AI & Application Integration(m/w/x)
Vollzeitnur vor OrtKeine AngabeDarmstadt