BioSpace · 22 hours ago
Advisor - LVA HOME Research and Evidence Capability Team
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Comp. & Benefits
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Responsibilities
Provide scientific and analytic input to study protocols, and develop statistical analysis plans for VBA analytics and RWE studies, particularly on studies using secondary data sources, such as healthcare claims data, electronic medical records data, etc.
Provide expert input on the fit-for-purpose assessment of real world data (RWD) and the development of RWD platforms, including collaboration with key partners in Tech@Lilly and our RWD strategy team.
Perform quality checks and peer-review of data and analytics, and support the feasibility analysis of data, including simple sample size estimation.
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.
Attend and influence in external forums and conferences as needed in dealing with RWE analytics and clinical/health information, particularly as it relates to RWE.
Collaborate with team members to write reports, draft abstracts/posters/manuscripts, create data visualizations, and communicate study results.
Assist with, or be responsible for, communicating study results via dashboards, final reports, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key population-based decision makers (PBDMs) and internal leaders.
Understand disease states, competitive landscapes, and healthcare environment in order to enhance the level of PBDM focus and collaboration and be seen as a strong scientific contributor.
Train yourself as and when needed to support diversification of work, including data linkage to Lilly data backbone, data science methods, machine learning and artificial intelligence.
Support and participate in cross-functional coaching, mentoring, and training.
Qualification
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Required
Advanced degree in quantitative field (e.g. statistics, epidemiology, public health, data science) or a bachelor’s degree in analytics related field
3+ years of experience in real world data and real-world evidence generation
Preferred
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
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)
Company
BioSpace
BioSpace is the leading online community for industry news and careers for life science professionals.
Funding
Current Stage
Growth StageTotal Funding
$10M2000-08-24Series B· $10M
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