2 дня назад
Senior Principal Real World Analyst (RWA)-2 (Real-World Evidence)
151 200 - 226 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Principal Real World Analyst (RWA)-2 (Real-World Evidence): Conducting and auditing real-world evidence analyses using claims, electronic medical records, and registry data with an accent on advanced statistical methods, epidemiology, and reproducible programming. Focus on analyzing Flatiron and Optum data, validating large datasets, building reports and dashboards, and delivering scientifically rigorous RWE outputs.
Location: Remote/Home-Based; Philadelphia, PA; US-based candidates only
Base salary: $151,200–$226,800 per year, plus potential bonus, incentive compensation, equity grants, and benefits.
Company
is a global biopharmaceutical company developing medicines for serious diseases, with a portfolio spanning sleep disorders, epilepsy, oncology, and neuroscience.
What you will do
- Conduct and audit real-world evidence analyses using administrative claims, electronic medical records, and registry data.
- Apply advanced statistical and epidemiological methods to time-to-event, cross-sectional, and longitudinal data.
- Clean and validate real-world data and analytical outputs for consistency and reliability.
- Document analytical programming code and operational definitions to support reproducible and auditable studies.
- Prepare reports, presentations, and dashboards that communicate complex data insights.
- Collaborate with RWA leads and project contributors to deliver studies and recurring reports on schedule.
Requirements
- MS or PhD in data science, epidemiology, statistics, public health, or a related discipline.
- At least 4 years of relevant experience with an MS or 2 years with a PhD in biopharma, RWE consulting, or healthcare.
- At least 2 years of hands-on experience with Flatiron and Optum data and expertise with multiple real-world data sources.
- Expert proficiency in SQL and R.
- Experience with US and global healthcare coding systems, including ICD, CPT, HCPCS, LOINC, or MedDRA, and healthcare delivery systems.
- Ability to work with big-data analytical platforms such as Snowflake and maintain rigorous, accurate research outputs.
Nice to have
- Knowledge of Python.
- Experience with data visualization tools such as Power BI.
Culture & Benefits
- Work in a fast-paced, flexible, and team-oriented environment.
- Collaborate within the Global Evidence & Value Generation department.
- Potential annual cash bonus or incentive compensation.
- Potential discretionary equity grants.
- Medical, dental, and vision insurance, 401(k) retirement savings, and flexible paid vacation.
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