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- Tasks: Lead statistical projects to enhance patient access and reimbursement strategies.
- Company: Eli Lilly is a global healthcare leader dedicated to improving lives through innovative medicines.
- Benefits: Flexible location, potential for remote work, and opportunities for travel.
- Why this job: Join a mission-driven team focused on making a real-world impact in healthcare.
- Qualifications: PhD or MSc in statistics with relevant experience; expertise in HTA and statistical programming required.
- Other info: Lilly promotes diversity and inclusion, ensuring equal opportunities for all applicants.
The predicted salary is between 42000 - 78000 £ per year.
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At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
Job Description
Within the Global Statistics organization, Advanced Analytics and Access Capabilities is the global center of expertise for all statistical aspects of Patient Access, Health Technology Assessment (HTA) and Real-World Evidence (RWE). Within this center the HTA Statistics Team provides input and statistical leadership to evidence generation plans and Access & Reimbursement projects to accelerate patient access in collaboration with multiple partners from other functions, geographies, and affiliations.
Responsibilities
General Scope
The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs.
- Is a successful problem solver who can bring to bear technical expertise to work closely with other functions to answer important questions about our products by translating strategic needs into innovative statistical solutions.
- Is responsible for providing technical statistical leadership to data-related research in Health Technology Assessment (HTA) and reimbursement to improve the success of the compound considering requirements across the globe (US, Europe, Asia Pacific and other geographies). Uses the most efficient or innovative approach in economic modeling, (network)-meta-analysis and indirect comparisons, clinical trials.
- Keeps up to date with respect to statistical methodology, particularly in methods applicable to the research area of HTA, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
- Ensures high quality statistical support for projects through the oversight of external suppliers and provides input into outsourcing strategy and processes.
- Influences cross-functional team members regarding appropriate research methods.
Communication of Results and Inferences
- Collaborate with team members to write reports and communicate results.
- Assist with, or be responsible for, communicating study results via payer submissions, publications, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings.
- Support responses to payer queries and/or interactions. Actively contribute to internal and external scientific interactions with decision making agencies and healthcare professionals
Therapeutic Area Knowledge
- Understand disease states, competitive landscapes, and regulatory/payer environment to enhance the level of customer focus and collaboration as a strong scientific contributor.
Statistical leadership and Teamwork
- Introduce and apply innovative methodology and tools to solve critical problems.
- Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions.
- Lead projects independently and work effectively across functions. Apply technical expertise to influence business decisions.
- Actively contributing to brand strategy and portfolio decisions in cross-functional governance bodies
Basic Qualification
- PhD with 3+years of experience or MSc degree with 6+ years of experience in statistics or related field
Additional Preferences
- Expertise in HTA, health outcomes research, and/or real-world evidence is required
- Significant experience in Health Technology Assessment in major markets
- Excellent knowledge of statistical theory and methodology, with solid understanding of experimental design and causal inference methods
- Demonstrated problem solving ability and critical thinking.
- Proficient in statistical programming languages/software such as SAS, R
- Excellent communication and presentation skills including the ability to translate and disseminate sophisticated scientific information in a clear and concise manner.
- Strong project management skills, business awareness/business development skills
- Work effectively in geographically dispersed/virtual teams and the ability to lead virtual teams.
- Ability to manage work using third party organizations.
- Self-management skills with a focus on results for prompt and accurate completion of competing deliverables
- Resource management skills
- Fluent in English – both oral and written
Additional Information
- Location is flexible in desired geography (Europe – England, France, Germany or US – Indianapolis)
- Domestic and international travel may be necessary.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
#WeAreLillyUKandIreland
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
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Job function
Research, Analyst, and Information Technology
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Industries
Pharmaceutical Manufacturing
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Advisor - HTA Statistics employer: Eli Lilly and Company
Contact Detail:
Eli Lilly and Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Advisor - HTA Statistics
✨Tip Number 1
Familiarise yourself with the latest trends and methodologies in Health Technology Assessment (HTA) and real-world evidence. This will not only enhance your understanding but also demonstrate your commitment to staying current in the field during interviews.
✨Tip Number 2
Network with professionals in the pharmaceutical industry, especially those involved in HTA and statistical analysis. Attend relevant conferences or webinars to make connections and gain insights that could be beneficial for your application.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied statistical methods to solve complex problems in previous roles. Being able to articulate your experience clearly will set you apart from other candidates.
✨Tip Number 4
Research Eli Lilly’s recent projects and initiatives related to HTA and patient access. Showing that you understand their work and how you can contribute will make a strong impression during the interview process.
We think you need these skills to ace Advisor - HTA Statistics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistics, HTA, and real-world evidence. Use specific examples that demonstrate your problem-solving skills and technical expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for improving patient access and how your background aligns with the role. Mention any specific projects or experiences that showcase your statistical leadership.
Showcase Communication Skills: Since the role involves communicating complex results, include examples of how you've effectively communicated scientific information in previous roles. This could be through presentations, reports, or publications.
Highlight Teamwork and Leadership: Emphasise your ability to work in cross-functional teams and lead projects. Provide examples of how you've collaborated with others to achieve common goals, especially in a virtual environment.
How to prepare for a job interview at Eli Lilly and Company
✨Showcase Your Statistical Expertise
Make sure to highlight your knowledge of statistical theory and methodology during the interview. Be prepared to discuss specific examples of how you've applied these skills in Health Technology Assessment (HTA) or real-world evidence projects.
✨Demonstrate Problem-Solving Skills
Eli Lilly values candidates who can solve complex problems. Prepare to share instances where you've successfully tackled challenges using innovative statistical solutions, especially in cross-functional settings.
✨Communicate Clearly and Effectively
Since the role involves communicating results to various stakeholders, practice explaining complex statistical concepts in simple terms. This will demonstrate your ability to translate sophisticated information for diverse audiences.
✨Understand the Therapeutic Area
Familiarise yourself with the disease states and competitive landscapes relevant to the role. Showing that you have a solid understanding of the regulatory and payer environment will set you apart as a strong candidate.
