RWD/ RWE Manager (f/m/d)

Heidenheim, BW, DE, 89522

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At HARTMANN, we’re all in to help, care, protect and grow. We support healthcare professionals, that they can focus on what really matters: to positively impact people´s life. We realize solutions that make a difference. And with your commitment you can grow on your job every day. At HARTMANN we believe in the difference you can make.

 

Join our team as

RWD/ RWE Manager (f/m/d)

DEU-Heidenheim

 

We are seeking a highly skilled and motivated Real-World Data (RWD) / Real-World Evidence (RWE) Manager to join our dynamic team (Evidence Generation Department). The successful candidate will lead the development and execution of RWD and RWE strategies to support the clinical, regulatory, and market access efforts of our medtech products. This role is critical in translating real-world insights into evidence that informs healthcare decisions and accelerates the adoption of innovative medical technologies.

 

Responsibilities:

  • Design and implement RWD and RWE strategies to generate clinical, safety, and economic evidence for medtech products
  • Collaborate with cross-functional teams within Evidence Generation Department (Clinical Trials, Evidence Synthesis, Health Economics, and Diagnostic/Prognostic Research), and beyond, including regulatory, clinical affairs, market access, marketing, and sales to integrate RWE into product development and lifecycle management
  • Develop study protocols, including observational studies, registries, and post-market surveillance, to gather and analyze real-world data
  • 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 through reports, scientific publications, white papers, and presentations to internal stakeholders, regulatory authorities, and external audiences
  • 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 and technologies in real-world data and evidence generation, and apply innovative methods to optimize RWD and RWE strategies

 

Qualifications:

  • Advanced degree in epidemiology, biostatistics, health economics, public health, data science, or related fields
  • 3+ years of experience in generating real-world data (RWD) and evidence (RWE), preferably in medtech, pharma, or healthcare
  • Proven experience with real-world data sources (EHR, claims, registry data) and RWE studies for regulatory or HTA purposes
  • Proficiency in statistical programming and data analysis tools (SAS, R, Python) and familiarity with RWD platforms (e.g., Flatiron, IQVIA)
  • Strong knowledge of real-world study designs (retrospective cohort, case-control, registry-based) and global regulatory requirements (FDA, EMA)
  • Expertise in GDPR, data privacy laws, and health economic models with evidence synthesis
  • Strong project management, communication skills, and experience in medtech or digital health solutions

 

Benefits:

  • Flexible working conditions, such as flexible working hours and mobile working
  • Attractive ways of combining work and family life, e.g. childcare subsidy
  • 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 with attractive employer contribution incl. matching model for deferred compensation
  • Plenty of parking spaces, canteen with café bar and ongoing offers in the employee shop
  • Access to over 6000 fitness and yoga studios, swimming pools as well as Crossfit and bouldering halls (EGYM Wellpass)
  • 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
  • Attractive discounts on e.g. travel, fashion and technology via our corporate benefits platform 

 

Shape a career that’s focused on healthcare customers, fit for the future and grounded in a culture of trust and openness. Apply now via our online platform.

 

Your personal contact:

​Sophia Zoller

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Biostatistics Data analysis Economics Pharma Privacy Python R Research SAS Security Statistics

Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Health care Medical leave Team events Yoga

Region: Europe
Country: Germany

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