Senior Consultant - Evidence Synthesis (HEOR) - Various locations Lisboa

Senior Consultant - Evidence Synthesis (HEOR) - Various locations
Lisboa
Lisboa, Lisboa, Portugal

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Senior Consultant - Evidence Synthesis (HEOR) - Various locations, Lisbon

Client: IQVIA

Location: Lisbon, Portugal

Job Category: Other

EU work permit required: Yes

Job Reference: 0bb36a2c0a5b

Job Views: 69

Posted: 23. 01. 2025

Expiry Date: 09. 03. 2025

Job Description:

Join us on our exciting journey! 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
- world evidence to demonstrate the value of medicines, enhance quality and drive improved outcomes.

Overview of the role

Our
- leading team is growing and seeking an experienced and enthusiastic technical specialist to support our Evidence Synthesis practice and Centre of Excellence (Co
E). The role involves a blend of technical leadership, strategic
- solving for complex research tasks, coding/programming, enhancing existing and developing new capabilities as a senior member of our Co
E, generation of business opportunities, as well as coaching and training of junior team members. As technical lead, the role requires strong
- on expertise across areas of evidence synthesis such as feasibility assessments, direct and indirect treatment comparisons,
- 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.

Required Knowledge

In-depth expertise and
- on experience with advanced evidence synthesis methods is essential. The role requires a good understanding of the health care sector and the pharmaceutical market, as well as general consulting methodologies and business practices. Experience in the delivery of consulting engagements is desirable.

Responsibilities

1. Lead
   -
   - 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
   - analysis, indirect treatment comparison or network
   - analysis (frequentist or Bayesian) with
   - level and/or aggregate data from RCTs.
2. Provide senior technical and statistical leadership and effective ad hoc
   - solving support to the delivery of diverse evidence synthesis projects.
3. Edit, review, and develop scripts to ensure accurate and efficient implementation tailored to specific research problems. Full proficiency and demonstrable coding/programming experience in Win
   BUGS, Open
   BUGS, JAGS and R is required, and knowledge of Stan is desirable.
4. Provide technical guidance, input and quality control for key deliverables (e. g. , draft protocols, statistical analysis plans, reports, manuscripts).
5. Support project implementation including overall project management and client engagement.
6. Conceptualize evidence synthesis engagements in response to client request for proposals.
7. Contribute to business development; build and maintain effective client relationships.
8. Driving development.
9. 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
   - reviewed journals and scientific conferences.
10. Support the development of product offerings and internal process optimization as part of the Centre of Excellence for Indirect Treatment Comparisons.
11. Coaching and training for junior statisticians and project delivery teams.
12. Serve as a line manager for junior staff members.

Qualifications, experience, technical and personal skills

Essential qualifications:

Master’s degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or a 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
- graduate researcher). Strong programming skills in R and good command of Stan or Win
BUGS/Open
BUGS/JAGS (other statistical software and decision support packages desirable), ability to provide evidence of this applied in a business or academic setting. Strong quantitative skills and experience with Bayesian statistics, generalized linear models, feasibility assessments, direct and indirect treatment comparisons,
- adjustment (MAIC, STC, ML-NMR), surrogate endpoint evaluation, structured expert elicitation, survival analyses. Excellent analytical and
- 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
- 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
- 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.

Location: various locations in EMEA available

Duration: Permanent

Mode: Home-based or hybrid

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at