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Project Manager Clinical Data Science, 80% (ID1563)

The AO is a medically guided, not-for-profit organization, a global network of surgeons, and the world's leading education, innovation, and research organization specializing in the surgical treatment of trauma and musculoskeletal disorders. We are home to people from all over the world, from different backgrounds, with diverse talents and specialist areas. What binds us together is our passion for excellence, our dedication to our mission of improving patient care, and our understanding that we are stronger together: we are one AO.
For more information, visit: https://www.aofoundation.org/

The AO Innovation Translation Center (AO ITC) streamlines and drives innovation projects. Its activities include the development of clinical solutions with our industrial partner, innovation gathering, proof-of-concept studies, strategic investment in intellectual property, technology, or companies, and evidence creation through clinical research.

As part of the AO ITC, Clinical Operations is the AO’s service provider for clinical research. Our clinical research specialists deliver clinical insights that are highly relevant to current surgical practice and enable better patient care by planning and conducting global clinical trials.
Employment type / Anstellungsverhältnis:  Permanent
Workload percentage / Pensum:  80%
Location / Standort: 

Zizers, CH

Experience level / gewünschtes Erfahrungsniveau:  Experienced professional
Application language / Bewerbungssprache:  English

Main Responsibilities

 

  • Algorithm development and validation, such as machine learning-based classification or prediction algorithms in clinical contexts
  • Development of dashboards or other visualizations for real-time tracking and insight into ongoing study-related activities
  • Development, implementation and optimization of codes / programming for statistical analysis according to SAPs as well as creation of TLFs
  • Development of statistical analysis plans, monitoring statistics, sample size (re-) estimation as appropriate for complex clinical research projects
  • Guide stakeholders in defining their data analysis objectives
  • Development and implementation of concepts (including utilization of AI) for general process improvements and innovation in clinical research
  • Provide input for statistical reports and support publications for clinical research projects

 

Additional statistical activities:

  • Statistical and data science consultancy, including model and data interpretation, for Project Managers and Principal Investigators
  • Simplify and translate complex statistical and machine learning analyses for non-technical stakeholders through visualizations and clear summaries

Main Requirements

 

  • MSc degree in Data Science, Bioinformatics, Statistics, Machine Learning, Computer Science, or closely related field
  • Strong programming skills (preferably SAS), with experience in handling large, complex clinical datasets
  • Advanced skills in data analysis, including predictive modeling, machine learning, and diagnostic accuracy analyses
  • Strong understanding of statistical concepts and experience applying them in real-world research or clinical data contexts
  • Strong analytical skills with the ability to use data to drive decision-making and measure process success
  • Familiarity with clinical data standards (e.g., CDISC, SDTM)
  • Knowledge in project management software (e.g., MS Project, JIRA) and clinical data management tools
  • Attention to detail and reliability
  • Flexibility and customer-focused mindset
  • Collaborative and team-oriented with the ability to work cross-functionally
  • Strong oral and written communication skills in English, German would be an added value.

We offer

  • An interesting and varied job in an exciting and innovative organization
  • The opportunity to be part of a highly committed international team
  • Modern infrastructure
  • High degree of flexibility regarding working hours and location (depending on operational requirements)
  • Generous package of social benefits, including supplementary vacation days and pension scheme contributions
  • Internal skills training opportunities and support for continued education

If you meet the requirements of this challenging opportunity, please submit your complete online application (motivation letter, CV, recent photograph, certificates, reference letters, etc) through our online application system.
Date of publication:  Dec 5, 2024

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