Health Economist as Manager Real World Data - Lead Data Extraction (f/m/d)

ZipRecruiter; Heidenheim an der Brenz; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in healthcare solutions is seeking a Health Economist as a Manager for Real World Data in Heidenheim. This role involves developing RWD and RWE strategies to support clinical and regulatory efforts for innovative medtech products. Candidates should possess an advanced degree and relevant experience, with strong project management and data analysis skills. Attractive benefits include flexible working conditions and a comprehensive wellness program.

Leistungen

Flexible working conditions

International mobile working opportunities

30 days paid leave annually

Company pension plan

Wellness programs

Qualifikationen

• At least 3 years of experience in generating RWD and RWE.
• Proven experience with RWD sources and RWE studies.
• Strong knowledge of real-world study designs and global regulatory requirements.

Aufgaben

• Design and implement RWD and RWE strategies for medtech products.
• Collaborate with cross-functional teams to integrate RWE.
• Lead data extraction, cleaning, analysis, and interpretation.

Kenntnisse

Project Management

Data Analysis

Communication Skills

Ausbildung

Advanced degree in Epidemiology, Biostatistics, Health Economics, etc.

Tools

SAS

R

Python

Jobbeschreibung

Job Description

Health Economist as Manager Real World Data - Lead Data Extraction (f/m/d)

At HARTMANN, we’re committed to helping, caring, protecting, and growing. We support healthcare professionals so they can focus on what truly matters: positively impacting people's lives. We develop solutions that make a difference.

With your dedication, you can grow professionally every day. At HARTMANN, we believe in the impact you can make. Join our team as RWD/RWE Manager (f/m/d) in DEU-Heidenheim.

We are seeking a highly skilled and motivated Real-World Data (RWD) / Real-World Evidence (RWE) Manager to join our dynamic Evidence Department. The successful candidate will lead the development and execution of RWD and RWE strategies to support clinical, regulatory, and market access efforts for our medtech products.

This role is crucial in translating real-world insights into evidence that informs healthcare decisions and accelerates the adoption of innovative medical technologies. Currently, we are conducting several RWD comparative effectiveness studies using data from the EU/UK and the US.

Responsibilities:

1. Design and implement RWD and RWE strategies to generate clinical, safety, and economic evidence for medtech products.
2. Collaborate with cross-functional teams within the Evidence Department (Clinical Trials, Evidence Synthesis, Health Economics, Diagnostic/Prognostic Research), and beyond, including regulatory, clinical affairs, market access, marketing, and sales to integrate RWE into product development and lifecycle management.
3. Develop study protocols, including observational studies, registries, and post-market surveillance, to gather and analyze real-world data.
4. 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.
5. Communicate RWE findings through reports, scientific publications, white papers, and presentations to internal stakeholders, regulatory authorities, and external audiences.
6. Ensure compliance with applicable regulatory guidelines and industry standards for data privacy, security, and ethical use of patient data.
7. Stay up to date with emerging trends and technologies in real-world data and evidence, and apply innovative methods to optimize RWD and RWE strategies.

Qualifications:

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

Benefits:

• Flexible working conditions, including flexible hours and remote work.
• International mobile working opportunities.
• Childcare subsidy and work-life balance initiatives.
• 30 days paid leave annually, plus special leave for life events, vacation pay, and annual bonuses.
• Company pension plan with employer contributions and deferred compensation options.
• Facilities such as parking, canteen, employee shop, and wellness programs (fitness studios, swimming pools, Crossfit, bouldering).
• Health and wellness offers, including skin cancer screenings, online mental health courses, massages, and yoga.
• Job bike leasing and discounts on travel, fashion, and technology through corporate benefits.