Head of R&D (m/w/d)

NeoPrediX AG

Job Description

NeoPredics is transforming clinical decision support by delivering personalized solutions that optimize care for women and children. Our cutting-edge technology empowers clinicians to predict health risks earlier, facilitating timely, sometimes life-saving interventions for mothers and their babies.

Explore our innovations designed to improve maternal and neonatal health. Join us as Head of R&D in redefining the standards of care for women and their newborns!

Head of R&D (m/w/d)


  • Strategic Leadership: Drive the vision and strategy for the R&D department, aligning with NeoPredics goals for innovation, clinical impact, and scalability.
  • Product Development: Lead and manage the development lifecycle of new and existing predictive healthcare tools, including PreFree and bilirubin prediction products, ensuring clinical relevance and data-driven efficacy. Develop a product roadmap.
  • Hands-On Tech Development: Actively lead and contribute to the development lifecycle of new and existing predictive decision support tools.
  • Applied Data Science Expertise: Bring extensive, practical experience in machine learning and AI specifically for SaMD applications. Develop and test robust, validated algorithms that meet clinical needs in real-world settings.
  • Research Excellence: Oversee clinical research programs, collaborate with scientific advisors, and ensure compliance with all regulatory and ethical guidelines.
  • Collaboration & Partnership: Establish and maintain strong partnerships with academic, clinical, and industry stakeholders, fostering collaborative innovation and research.
  • Contribute to project team for software development
  • Continually review and improve existing and new algorithms
  • Team Leadership: Build and mentor a high-performing R&D team, fostering a culture of continuous learning, scientific curiosity, and teamwork.
  • Data Science & Analytics: Oversee data strategy, including machine learning and predictive modeling, to ensure robust, validated algorithms power our solutions.
  • IP: Create new IP, oversee current IP portfolio, be point of contact for any internal and external IP related topics
  • Quality and Regulatory: Responsible process owner for all R&D relevant processes. Responsible for ISO 13485, MDR and FDA compliance
  • Data security: Overall responsibility for data protection, patient data safety and IT security

  • PhD or advanced degree in Biomedical Science, Data Science, Engineering, or related field, with a focus on healthcare technology
  • Medical device industry experience
  • Extensive experience in machine learning and artificial intelligence in life sciences
  • Proven experience leading R&D teams, particularly within the healthcare or biotech sectors, with a strong track record in digital health or predictive analytics.
  • Extensive knowledge of clinical research methodologies, product development cycles, and healthcare data science.
  • Familiarity with regulatory environments for healthcare products, including experience with CE marking or FDA processes.
  • Strong analytical skills, with experience in algorithm development, predictive modeling, and machine learning.
  • Exceptional leadership and interpersonal skills, with the ability to inspire and collaborate with multidisciplinary teams.
  • Data Science Mastery: 5+ years in applied machine learning, specifically for regulated AI-based medtech products. Proven success in bringing AI-based SaMD to market.
  • Analytical Excellence: Demonstrated experience in developing algorithms with clinical impact. Strategic sense of how data science can drive business and product success.

SKILLS

  • Proven leadership skills
  • Project management skills
  • Presentation skills
  • Fluent English (must) and German (strongly preferred)

OTHER REQUIREMENTS

  • to work in cross functional teams with external partners
  • to tackle unprecedented challenges
  • to manage multiple sometimes contradicting tasks and objectives at the same time
  • to travel internationally
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