# Senior Statistician - Evidence Synthesis

**Company**: IQVIA
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

**Apply**: https://iqvia.wd1.myworkdayjobs.com/en-US/IQVIA/job/So-Paulo-Brazil/Sr-Consultant---Evidence-Synthesis-Expert--US-team-support-_R1567727?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_49ebd15e-398

## Description

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.

As a senior statistician, you will have a blend of technical leadership, strategic problem-solving for complex research tasks, coding/programming, enhancing existing and developing new capabilities as a senior member of our CoE, generation of business opportunities, as well as coaching and training of junior team members.

**Responsibilities**

- Client engagements:

+ Lead day-to-day activities of multiple evidence synthesis projects with the support of junior team members   + 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   + Provide technical guidance, input and quality control for key deliverables   + 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 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

- Mentoring:

+ Coaching and training for junior statisticians and project delivery teams   + May serve as a line manager for junior staff members

**Qualifications, Experience and Skills**

- Essential qualifications:

+ 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   + Fluency in English

- Essential skills and knowledge:

+ 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)   + 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   + 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   + Good project management skills with proven time management and organizational skills

## Skills

### Required
- Bayesian statistics
- generalized linear models
- feasibility assessments
- direct and indirect treatment comparisons
- population-adjustment
- surrogate endpoint evaluation
- structured expert elicitation
- survival analyses
- R
- Stan
- WinBUGS
- OpenBUGS
- JAGS
- health economic modelling

### Nice to have
- PhD in a subject related to health services research or statistics
- publication track record

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