29 applicants

Company

Eli Lilly and Company · 4 hours ago

Advisor - LVA HOME Research and Evidence Capability Team

US, Remote

Full-time

Remote

Mid Level

$132K/yr - $211K/yr

3+ years exp

Maximize your interview chances

BiotechnologyHealth Care

Actively Hiring

Insider Connection @Eli Lilly and Company

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Real World Evidence (RWE)Statistical AnalysisData AnalyticsRWD SourcesData VisualizationPythonRSASEpidemiologyPublic HealthMachine LearningArtificial IntelligenceHealthcare Claims DataElectronic Medical RecordsExperimental DesignMedical CodingCPT CodingICD CodingHCPCS CodingPeer-reviewed PublicationsCross-functional Collaboration

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 bonus

401(k)

Pension

Vacation benefits

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

Eli Lilly and Company

Glassdoor

4.1

For more than a century, we have stayed true to a core set of values – excellence, integrity, and respect for people – that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities through philanthropy and volunteerism.

Founded in 1876

Indianapolis, Indiana, USA

10,001+ employees