Manager of Real-World Data and Evidence Generation

Vor 2 Tagen

Heidenheim an der Brenz, Baden-Württemberg, Deutschland PAUL HARTMANN AG Vollzeit
Job Summary

We are seeking a highly skilled Data Scientist as Manager of Real-World Data to join our Evidence Generation Department. As a key member of our team, you will be responsible for designing and implementing strategies to generate clinical, safety, and economic evidence for medtech products.

Responsibilities
  • Develop and Implement RWD and RWE Strategies: Design and implement RWD and RWE strategies to generate clinical, safety, and economic evidence for medtech products.
  • Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams within the Evidence Generation Department and beyond to integrate RWE into product development and lifecycle management.
  • Develop Study Protocols: Develop study protocols, including observational studies, registries, and post-market surveillance, to gather and analyze real-world data.
  • Lead Data Extraction and Analysis: Lead data extraction, cleaning, analysis, and interpretation from diverse real-world data sources such as electronic health records (EHR), claims data, patient registries, and wearables.
  • Communicate RWE Findings: Communicate RWE findings through reports, scientific publications, white papers, and presentations to internal stakeholders, regulatory authorities, and external audiences.
  • Ensure Compliance: Ensure compliance with applicable regulatory guidelines and industry standards for data privacy, security, and ethical use of patient data.
  • Stay Up-to-Date with Emerging Trends: Stay up to date with emerging trends and technologies in real-world data and evidence generation, and apply innovative methods to optimize RWD and RWE strategies.
Qualifications
  • Advanced Degree: Advanced degree in epidemiology, biostatistics, health economics, public health, data science, or related fields.
  • Experience in RWD and RWE: 3+ years of experience in generating real-world data (RWD) and evidence (RWE), preferably in medtech, pharma, or healthcare.
  • Proficiency in Statistical Programming: Proficiency in statistical programming and data analysis tools (SAS, R, Python) and familiarity with RWD platforms (e.g., Flatiron, IQVIA).
  • Strong Knowledge of RWD and RWE: Strong knowledge of real-world study designs (retrospective cohort, case-control, registry-based) and global regulatory requirements (FDA, EMA).
  • Expertise in Data Privacy and Health Economics: Expertise in GDPR, data privacy laws, and health economic models with evidence synthesis.
  • Strong Project Management and Communication Skills: Strong project management, communication skills, and experience in medtech or digital health solutions.
Benefits
  • Flexible Working Conditions: Flexible working conditions, such as flexible working hours and mobile working.
  • Attractive Benefits Package: Attractive ways of combining work and family life, e.g. childcare subsidy.
  • Generous Leave Policy: 30 days paid leave per year, plus special leave for exceptional life events as well as vacation pay and special annual payment according to collective agreement.
  • Company Pension Plan: Company pension plan with attractive employer contribution incl. matching model for deferred compensation.
  • Wellness and Fitness Programs: Plenty of parking spaces, canteen with café bar and ongoing offers in the employee shop.
  • Access to Fitness and Wellness Programs: Access to over 6000 fitness and yoga studios, swimming pools as well as Crossfit and bouldering halls (EGYM Wellpass).
  • Health and Fitness Offers: Various health and fitness offers, e.g. skin cancer screenings, online courses for mental health, massage offers, yoga during lunch break etc.
  • Job Bike Leasing: Job Bike Leasing.
  • Corporate Benefits Platform: Attractive discounts on e.g. travel, fashion and technology via our corporate benefits platform.

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