Job Summary
Our directors are essential contributors to our team. They work across various projects and own specific projects, deliverables, and timelines. You will lead and mentor in a fast-paced, multi-disciplinary, global organization.
Essential Duties & Responsibilities
- Guiding and mentoring junior and mid-level consultants on trial data analysis and evidence synthesis projects and conducting quality control of project deliverables
- Reviewing project reports and other deliverables
- Adhering to project budgets and timelines
- Leading client interactions and outreach to ensure client satisfaction
- Leading requests for proposals and supporting the growth of the business through the development of strong client relationships
- Effectively managing relationships with internal and external stakeholders
- Developing, implementing, and maintaining internal processes and quality standards
- Keeping abreast with the latest developments in the field
- Disseminating and integrating new methods into the business
- Contributing to thought leadership and publications
Experience, Skills, and Qualifications
- Master's Degree or PhD in any relevant science, such as health economics, econometrics, economics, pharmacy, epidemiology, statistics, or medical sciences
- Highly experienced within the field of HEOR, with hands-on experience in trial data analysis and/or evidence synthesis, and familiarity with analysis positioning in the context of health economic modelling, reimbursement dossiers, and health technology assessment submissions
- Experience with leading data analysis and/or evidence synthesis projects, including:
- Bayesian network meta-analysis, including non-proportional hazard methods and meta-regression
- Population-adjusted indirect treatment comparisons, including matching-adjusted indirect comparison, simulated treatment comparison, and multi-level network meta-regression
- Survival analysis, including flexible and innovative methods not limited to landmark survival analysis and methods for incorporating external data
- Utility analysis to inform health economic models
- Bespoke statistical modelling of clinical trial patient-level data to inform health economic models
- Analysis of surrogate endpoints
- Intellectual curiosity and independence
- Excellent communication skills (both written and verbal) along with the ability to question the status quo
- Ability to communicate complex (statistical) methods to internal and external stakeholders
- Proactive, responsive, and able to balance shifting priorities
- Team player and able to work independently
- Strong organizational skills and attention to detail
- Proficiency in MS Office programs: Excel, Word, PowerPoint
- Experience with statistical software: R (version control, RMarkdown, and Shiny would be an advantage), STAN (or equivalent MCMC simulation software)
Travel Requirments:
- Up to 10% of Global Travel
About OPEN Health
OPEN Health unites deep scientific knowledge with wide-ranging specialist expertise to unlock possibilities that improve health outcomes and patient wellbeing. Working in partnership with our clients, we embrace our different perspectives and strengths to deliver fresh thinking and solutions that make a difference.
OPEN Health is a flexible global organization that solves complex healthcare challenges across HEOR and market access, medical communications and creative omnichannel campaigns.
What we offer:As a global organization, OPEN Health is committed to supporting our employees and their families through a comprehensive benefits program:
- Competitive pay, generous paid vacation and holidays, and more across all our locations
- Ongoing training and development opportunities which foster and shape your individual career path
- An active and growing commitment to bettering the communities our employees call home through our Corporate Social Responsibility program
- The opportunity to thrive in a global, collaborative environment while working every day to improve health outcomes and patient wellbeing
- Diverse, inclusive culture that encourages you to bring your whole self to work
If we sound like the sort of business environment in which you would thrive, then we would love to hear from you. Director - Modeling and Meta-Analysis