Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Consultant - Evidence Synthesis (Health Economics) - United Kingdom/European Union role.

Rezi rewrites your resume against IQVIA's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Consultant - Evidence Synthesis (Health Economics) - United Kingdom/European Union posting at IQVIA — free, in seconds.

About the Role

Our industry-leading team is growing and seeking an experienced and enthusiastic technical specialist to support our Evidence Synthesis practice and Centre of Excellence (CoE). The role involves a blend of technical leadership, strategic problem-solving for complex research tasks, coding/programming, enhancing existing and developing new capabilities as senior member of our CoE, generation of business opportunities, as well as coaching and training of junior team members. As technical lead, the role requires strong hands-on expertise across areas of evidence synthesis such as feasibility assessments, direct and indirect treatment comparisons, population-adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses, external comparator arms etc. Besides working in integrated teams across geographies and functions, a key part of the role is to build and maintain effective client relationships to add value in a rapidly evolving environment.

Responsibilities

Lead day-to-day activities of multiple evidence synthesis projects with the support of junior team members, including the development of statistical analysis protocols (SAP) and conduct of feasibility assessments, evidence synthesis by means of meta-analysis, indirect treatment comparison or network meta-analysis (frequentist or Bayesian) with patient-level and/or aggregate data from RCTs
Provide senior technical and statistical leadership and effective ad hoc problem-solving support to the delivery of diverse evidence synthesis projects
Edit, review, and develop scripts to ensure accurate and efficient implementation tailored to specific research problems. Full proficiency and demonstrable coding/programming experience in WinBUGS, OpenBUGS, JAGS and R is required, and knowledge of Stan is desirable
Provide technical guidance, input and quality control for key deliverables (e.g., draft protocols, statistical analysis plans, reports, manuscripts)
Support project implementation including overall project management and client engagement
Conceptualize evidence synthesis engagements in response to client request for proposals
Contribute to business development; build and maintain effective client relationships
Establish research credentials and further the wider IQVIA profile in evidence synthesis through the development of innovative methods and the dissemination of research outputs in peer-reviewed journals and scientific conferences
Support the development of product offerings and internal process optimization as part of the Centre of Excellence for Indirect Treatment Comparisons
Coaching and training for junior statisticians and project delivery teams
Serve as a line manager for junior staff members

Requirements

In-depth expertise and hands-on experience with advanced evidence synthesis methods is essential.
Good understanding of the health care sector and the pharmaceutical market.
General consulting methodologies and business practices.
Experience in the delivery of consulting engagements is desirable.
Master’s degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or related discipline
PhD in a subject related to health services research or statistics is desirable
At least 5 years prior relevant experience working as a statistician in consultancy, CRO, pharmaceutical/biotech or academia (as post-graduate researcher)
Strong quantitative skills and experience with Bayesian statistics, generalized linear models, feasibility assessments, direct and indirect treatment comparisons (ITCs), population-adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses
Strong programming skills in R and good command of Stan or WinBUGS/OpenBUGS/JAGS (other statistical software and decision support packages desirable), ability to provide evidence of this applied in a business or academic setting
Experience developing tools or automating processes used in ITCs or broader statistical workflows in HTA, preferably in R, Stan or any other relevant programming language.
Experience in clinical comparison across the evidence base (e.g., assessment of cross-trial heterogeneity in populations, interventions, outcomes and study design) and hands-on familiarity with tools to assess the quality and risk of bias of the included evidence (e.g., RoB-2, ROBINS-I, GRADE, AMSTAR-2)
Excellent analytical and problem-solving skills, including in the context of client strategic challenges
Excellent scientific writing skills. Publication track record is desirable but not necessary
Excellent oral communication skills and ability to convey technically complex issues to non-technical audiences and teams; prior coaching and training experience is desirable
Good understanding of related HEOR domains (e.g. systematic literature reviews, health economic modelling)
Good team-based interpersonal skills but also an ability to work independently
Strong attention to detail
Good project management skills with proven time management and organizational skills
Please submit your CV in English.
Please note that we're not sponsoring visa.

Skills

Advanced evidence synthesis methods
Health care sector understanding
Pharmaceutical market understanding
Consulting methodologies
Business practices
Bayesian statistics
Generalized linear models
Feasibility assessments
Direct and indirect treatment comparisons (ITCs)
Population-adjustment (MAIC, STC, ML-NMR)
Surrogate endpoint evaluation
Structured expert elicitation
Survival analyses
R programming
Stan programming
WinBUGS/OpenBUGS/JAGS programming
Statistical software
Decision support packages
HTA statistical workflows
Clinical comparison across the evidence base
Cross-trial heterogeneity assessment
Quality and risk of bias assessment tools (e.g., RoB-2, ROBINS-I, GRADE, AMSTAR-2)
Analytical skills
Problem-solving skills
Scientific writing
Oral communication skills
HEOR domains (e.g. systematic literature reviews, health economic modelling)
Team-based interpersonal skills
Independent work capability
Attention to detail
Project management skills
Time management skills
Organizational skills

Location

UK
EU countries

Work Type

Full-time

Experience Level

Senior
At least 5 years prior relevant experience

Education Level

Master’s degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or related discipline
PhD in a subject related to health services research or statistics is desirable

About the Company

IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.
The Evidence Synthesis practice is part of the IQVIA Real World Solutions (RWS). RWS brings together IQVIA initiatives that connect healthcare stakeholders through real-world evidence to demonstrate the value of medicines, enhance quality and drive improved outcomes.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

Equal Opportunity

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.