Analyst - Global HE/HTA
IQVIA
Analyst - Global HE/HTA
Job Description
OVERVIEWOur industry-leading team is growing and seeking an enthusiastic technical specialist to support our Evidence Synthesis practice and Centre of Excellence (CoE). The role involves primarily the development of off-the-shelf coding scripts, efficiency and automation tools for the CoE and contribution in highly complex statistical projects that require de novo conceptualisation and out-of-the-box thinking. You can expect a blend of statistical/ technical activities, strategic problem-solving for complex research tasks, coding/programming, enhancing existing and developing new capabilities.RESPONSIBILITIES Support the development of internal tools and software to drive automation efficiency and methods development in evidence synthesis for HTA. Develop technical guidance for associated toolsEdit, review, and develop scripts to ensure accurate and efficient implementation tailored to specific research problems. Proficiency and demonstrable coding/programming experience in R is required, and knowledge of Stan is desirable as well as WinBUGS, OpenBUGS, JAGS.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 Be an active member of the Centre of Excellence for Evidence Synthesis and develop core material to increase automation and efficiency across IQVIAFor a small proportion of time, support project implementation primarily on complex projects that require de novo material development and out-of-the-box thinkingQUALIFICATIONS, EXPERIENCE, TECHNICAL AND PERSONAL SKILLSMasters (required) or PhD (plus) in statistics, biostatistics, mathematics, health economics or a related discipline.Fluency in English (spoken and written - this role is part of a global team)Relevant experience working as a statistician or evidence synthesis specialist in academia or consultancy, CRO, pharmaceutical/biotech or academia (as post-graduate researcher)Strong programming skills in R, ability to provide evidence of this applied in a business or academic settingExperience in software development ideally on RShiny applications. Excitements and willingness to improve and software development skills Excellent analytical and problem-solving skills, including in the context of client strategic challengesExcellent scientific writing skills, oral communication, ability to convey technically complex issues to non-technical audiences and teams, attention to detailEfficient time- and project-management, proactive communication, team spiritGood understanding of related HEOR domains and Evidence Synthesis processes*Resume/CV must be submitted in English*#home-based #remoteA IQVIA está empenhada em adotar um ambiente de trabalho diverso e inclusivo. Nosso objetivo é atrair e reter as melhores pessoas, independentemente de gênero, raça, estado civil, origem étnica, nacionalidade, idade, deficiência, orientação sexual, identidade de gênero ou qualquer outra característica. Junte-se a nós! 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.comIQVIA 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.
Locations
- Brazil, São Paulo
Skills Required
- Englishintermediate
- software development ideally on RShiny applicationsintermediate
Required Qualifications
- Masters (required) or PhD (plus) in statistics, biostatistics, mathematics, health economics or a related discipline. (degree in phd)
- Fluency in English (spoken and written - this role is part of a global team) (experience)
- Relevant experience working as a statistician or evidence synthesis specialist in academia or consultancy, CRO, pharmaceutical/biotech or academia (as post-graduate researcher) (experience)
- Strong programming skills in R, ability to provide evidence of this applied in a business or academic setting (experience)
- Experience in software development ideally on RShiny applications. Excitements and willingness to improve and software development skills (experience)
- Excellent analytical and problem-solving skills, including in the context of client strategic challenges (experience)
- Excellent scientific writing skills, oral communication, ability to convey technically complex issues to non-technical audiences and teams, attention to detail (experience)
- Efficient time- and project-management, proactive communication, team spirit (experience)
- Good understanding of related HEOR domains and Evidence Synthesis processes (experience)
- Masters (required) or PhD (plus) in statistics, biostatistics, mathematics, health economics or a related discipline. (degree in phd)
- Fluency in English (spoken and written - this role is part of a global team) (experience)
- Relevant experience working as a statistician or evidence synthesis specialist in academia or consultancy, CRO, pharmaceutical/biotech or academia (as post-graduate researcher) (experience)
- Strong programming skills in R, ability to provide evidence of this applied in a business or academic setting (experience)
- Experience in software development ideally on RShiny applications. Excitements and willingness to improve and software development skills (experience)
- Excellent analytical and problem-solving skills, including in the context of client strategic challenges (experience)
- Excellent scientific writing skills, oral communication, ability to convey technically complex issues to non-technical audiences and teams, attention to detail (experience)
- Efficient time- and project-management, proactive communication, team spirit (experience)
- Good understanding of related HEOR domains and Evidence Synthesis processes (experience)
Responsibilities
- Support the development of internal tools and software to drive automation efficiency and methods development in evidence synthesis for HTA. Develop technical guidance for associated tools
- Edit, review, and develop scripts to ensure accurate and efficient implementation tailored to specific research problems. Proficiency and demonstrable coding/programming experience in R is required, and knowledge of Stan is desirable as well as WinBUGS, OpenBUGS, JAGS.
- 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
- Be an active member of the Centre of Excellence for Evidence Synthesis and develop core material to increase automation and efficiency across IQVIA
- For a small proportion of time, support project implementation primarily on complex projects that require de novo material development and out-of-the-box thinking
- Support the development of internal tools and software to drive automation efficiency and methods development in evidence synthesis for HTA. Develop technical guidance for associated tools
- Edit, review, and develop scripts to ensure accurate and efficient implementation tailored to specific research problems. Proficiency and demonstrable coding/programming experience in R is required, and knowledge of Stan is desirable as well as WinBUGS, OpenBUGS, JAGS.
- 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
- Be an active member of the Centre of Excellence for Evidence Synthesis and develop core material to increase automation and efficiency across IQVIA
- For a small proportion of time, support project implementation primarily on complex projects that require de novo material development and out-of-the-box thinking
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