Advisor – Research Scientist, Advanced Real World Evidence Data Scientist, Analyst
Location
United States
Posted
9 days ago
Salary
$141K - $228.8K / year
Postgraduate Degree3 yrs expEnglishPythonVBA
Job Description
• Provide scientific and analytic input to study protocols
• Develop analytical plans and specifications for VBA analytics, rapid cycle analytics, and RWE studies
• Provide expert input on the fit-for-purpose assessment of real world data (RWD) and the development of RWD platforms
• Perform quality checks and peer-review of data and analytics, and support the feasibility analysis of data
• Transform RWD sources to analysis ready data sets to enable rapid generation of RWE
• Apply the spectrum of advanced analytical methods to RWD, conduct appropriate statistical analysis, deliver study results on time
• Clearly interpret study results and influence the project team to deliver scientifically robust RWE
• Collaborate with team members to write reports, draft abstracts/posters/manuscripts, create data visualizations, and communicate study results.
Job Requirements
- Advanced degree, PhD, in quantitative field with 3+ years of experience (e.g. statistics, epidemiology, public health, data science)
- Master's degree in analytics related field with 7+ years of experience in real world data and real-world evidence generation
- Proficient in use of data analytic tools and analytics languages and statistical software (e.g. R, Python, SAS)
- Prior experience with commonly used RWD sources (e.g., administrative medical and pharmacy claims, electronic health records)
- Familiarity with observational study principles and study designs evidenced by previous research experience
- Demonstrated history of contribution to peer-reviewed publications
- Prior data and analytics experience in pharma, managed care or similar healthcare industry
- Expertise in foundational data archetypes of structured and unstructured RWD, including various types of RWD
- Understanding of medical and pharmacy coding (e.g. NDC, ICD, CPT, HCPCS)
- Technical expertise and application with working knowledge of experimental design and statistical analysis
- Proficient with data visualization software and dashboard creation.
- Expertise with external health data and information standards for the structure, processing, and delivery of health information
- Demonstrated ability to influence and collaborate within and across cross-functional teams primarily residing in US time zones.
- Self-management skills with a focus on results for timely and accurate completion of competing deliverables.
Benefits
- Eligibility to participate in a company-sponsored 401(k)
- Pension
- Vacation benefits
- Eligibility for medical, dental, vision and prescription drug benefits
- Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
- Life insurance and death benefits
- Certain time off and leave of absence benefits
- Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
