Ehs Consultant

Ramboll Group As; Madrid; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

IQVIA in Madrid and across Europe seeks a Senior Consultant in Evidence Synthesis (Health Economics) to lead complex analyses and supervise junior staff. You will drive Bayesian statistical methods, plan studies, and guide clients through technical solutions.

The role requires strong programming in R, experience with MAIC/STC/ML-NMR, ITCs, and survival analyses, with a focus on high‑quality deliverables and industry collaboration.

Qualifications

• Master's degree in statistics, biostatistics, or health economics.
• PhD in health services research desirable.
• 5+ years as statistician in consultancy/biotech/academia.

Responsibilities

• Lead multiple evidence synthesis projects with junior team support.
• Develop SAPs and perform meta-analyses and ITCs.
• Provide technical leadership and problem-solving.
• Code scripts in R and BUGS/JAGS; review deliverables.
• Mentor junior statisticians and manage client engagement.

Skills

Bayesian stats

R programming

MAIC STC ML-NMR

Indirect comparisons

WinBUGS/JAGS

Survival analyses

Leadership

Client engagement

HTA knowledge

Communication skills

Education

Master's in statistics/epidemiology/health economics

PhD in health services research (desirable)

Tools

R

Stan

WinBUGS/OpenBUGS/JAGS

Job description

Senior Consultant - Evidence Synthesis (Health Economics)

Locations: London, United Kingdom; Amsterdam, Netherlands; Madrid, Spain; Athens, Greece; Porto Salvo, Portugal; Barcelona, Spain.

Full time

This job is available in the UK and in EU countries. Don't hesitate to apply if you're interested either in the UK or in any EU country, even if not all of them are listed.

Join us on our exciting journey! IQVI A is the human data science company, focused on using data and science to help healthcare clients find better solutions for their patients. IQVI A offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.

About the evidence synthesis practice is part of the IQVI A Real World Solutions (RWS). RWS brings together IQVI A initiatives that connect healthcare stakeholders through real‑world evidence to demonstrate the value of medicines, enhance quality and drive improved outcomes.

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

• Client engagements:
  • 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.
• Business development:
  • Conceptualize evidence synthesis engagements in response to client request for proposals.
  • Contribute to business development; build and maintain effective client relationships.
• Driving development:
  • Establish research credentials and further the wider IQVI A 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.
• Mentoring:
  • Coaching and training for junior statisticians and project delivery teams.
  • Serve as a line manager for junior staff members.

Qualifications and Experience

• Essential qualifications:
  • Master's degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or related discipline.
  • Ph.D. in a subject related to health services research or statistics is desirable.
• Essential skills, knowledge and personal behaviours:
  • 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, GRAU, 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 note that we're not sponsoring visa.

IQVI A 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.

We are committed to integrity in our hiring process and maintain 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.

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