Senior HEOR Analyst – RWD & Analytics

Apr; Deutschland; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading healthcare analytics firm is seeking a Senior HEOR Analyst for a remote, 12-month renewable contract in Germany. The ideal candidate will have over 5 years of experience in healthcare data analysis, strong programming skills in R and SAS, and a Master's degree in a related field. Responsibilities include conducting analyses to support real-world data needs and ensuring high-quality documentation and results presentation.

Qualifikationen

• 5+ years of hands-on programming and analytic experience using healthcare data.
• Must have RWD/RWE experience with data sources such as administrative claims data and EHR.
• Advanced programming capacity in R and proficiency in SAS.

Aufgaben

• Conduct hands-on programming to support real-world data analytics needs.
• Respond to HEOR Director’s requests in a timely manner.
• Ensure high-quality work products and detailed documentation.

Kenntnisse

R programming

Analytic experience

Communication skills

Detail-oriented

Ausbildung

Master’s degree in health services research or related field

Tools

SAS

Jobbeschreibung

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Remote, 12-month renewable contract

As a Senior HEOR Analyst, Real-World Data and Analytics, you will conduct hands-on programming (expert level in R with SAS proficiency)in supporting our real-world data & analytics needs under the supervision of our Director HEOR analytics scientists.

Responsibilities:

• Respond to HEOR Director’s request timely.
• Understand query, analytic requests and study specifications
• Proactively clarify requests and ensure accurate implementation of protocols and analytical specifications.
• Conduct queries to claims, EHR, and/or other real-world data sources
• Ensure high-quality work products
• Keep detailed documentation and generate results with a clear and professional presentation
• Detail-oriented with excellent communication skills. At ease with an abundance of detail and complexity, yet mindful of the big picture
• Can work independently and efficiently to meet aggressive timelines where needed
• Adapt to rapidly changing priorities

Qualifications:

• A Master’s degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 5+ years of hands-on programmingand analytic experience using healthcare data.
• Must have hands-on RWD/RWE experience with data sources such as large-scale administrative claims data (e.g., MarketScan, Optum, Medicare LDS SAF, Komodo claims), and EHR
• Demonstrated recent experience supporting pharmacoepidemiologic and/or HEOR studies within pharmaceutical, biotechnology, CRO, or life sciences consulting environments, specifically on sponsor-side research initiatives (not limited to payer/payee settings)
• Advanced programming capacity in R (R Shiny) with proficiency in SAS
• Proficiency with common statistical methods, such as survival analysis, generalized linear models
• Ability to effectively communicate methods and findings

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