Senior Research Consultant - Evidence Synthesis
at OPEN Health
Remote, Scotland, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Nov, 2024 | Not Specified | 02 Sep, 2024 | N/A | Simulation Software,Independence,R,Statistics,Health Economics,Econometrics,Excel,Meta Analysis,Communication Skills,Economics,Data Analysis,Heor,Epidemiology,Statistical Software,Survival Analysis,Utility Analysis,Powerpoint | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
JOB SUMMARY
Our Senior Research Consultants are essential contributors to our team. They work across various projects and own specific projects, deliverables, and timelines. You will lead and coach people in a fast-paced, multi-disciplinary, global organization.
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, 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 endpoint
- Intellectual curiosity and independence, to include the ability to self-start and self-teach
- Excellent communication skills (both written and verbal) along with the ability to question the status quo
- Ability to clearly communicate complex (statistical) methods to other team members and external stakeholders
- Proactive, responsive and able to balance shifting priorities
- Team player, but also able to work independently
- Strong organizational skills and attention to detail
- Full 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)
Responsibilities:
- Guiding and mentoring junior and mid-level consultants on evidence synthesis and (trial) data analysis projects
- 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
- Managing and mentoring junior staff members
- Developing, implementing, and maintaining internal processes and quality standards
- Keeping up to date with the latest developments in the field
- Disseminating and integrating new methods into the business
- Contributing to thought leadership and publications
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Hospital/Health Care
Pharma / Biotech / Healthcare / Medical / R&D
Health Care
Graduate
Any relevant science such as health economics econometrics economics pharmacy epidemiology statistics or medical sciences
Proficient
1
Remote, United Kingdom