Director, Data and Science (Analytic Solutions)
Verana HealthSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, PharmaceuticalsIndustries
Requirements
- Diplôme de niveau Master ou PhD en épidémiologie, pharmacoépidémiologie, santé publique ou domaine scientifique connexe
- Expérience confirmée dans la conception et la réalisation d’études en vie réelle
- Connaissance de l’environnement SNDS indispensable
- Excellentes compétences rédactionnelles et communicationnelles
- Maîtrise des outils bureautiques (Word, Excel, PowerPoint) et des logiciels statistiques (SAS et/ou R)
- Capacité à interpréter des résultats issus de SAS, R ou autres langages statistiques
- Sens de l’organisation, autonomie et esprit d’équipe
- Anglais professionnel requis
Responsibilities
- Concevoir et piloter des études observationnelles en épidémiologie et pharmacoépidémiologie
- Rédiger des protocoles, rapports et documents d’étude avec rigueur scientifique
- Fournir un soutien méthodologique sur les plans d’analyse statistique
- Interagir avec les clients et les parties prenantes pour garantir la qualité des livrables
- Participer à l’amélioration continue des processus internes et aux initiatives de développement commercial
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What qualifications are required for the Senior Epidemiologist role?
A Master's or PhD in epidemiology, pharmacoepidemiology, public health, or a related scientific field is required, along with confirmed experience in designing and conducting real-world studies.
What technical skills are needed for this position?
Knowledge of the SNDS environment is essential, along with proficiency in office tools (Word, Excel, PowerPoint) and statistical software (SAS and/or R), plus the ability to interpret results from these tools.
Is knowledge of English required for this job?
Yes, professional-level English is required.
What is the team structure like at IQVIA's Real-World Solutions department?
The Real-World Solutions (RWS) department consists of a team of 90 multidisciplinary and highly qualified consultants specializing in market access, health economics, and real-world studies including database studies.
What salary or compensation does this position offer?
This information is not specified in the job description.
IQVIA
Advanced analytics and clinical research services
About IQVIA
IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.
Durham, North CarolinaHeadquarters
1998Year Founded
$3,526MTotal Funding
POST_IPO_EQUITYCompany Stage
Cybersecurity, Biotechnology, HealthcareIndustries
10,001+Employees
Risks
Rapid advancement of cancer vaccines may disrupt traditional clinical research models.
Proliferation of disparate technological solutions causes technology overload in clinical trials.
Generative AI technologies face challenges in adoption due to data privacy concerns.
Differentiation
IQVIA leverages advanced analytics and big data for life sciences solutions.
The company offers privacy-enhancing technologies to protect individual patient data.
IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.
Upsides
Increased adoption of decentralized clinical trials enhances patient-centric study designs.
AI-driven drug discovery accelerates identification of potential drug candidates.
Expansion of telemedicine facilitates remote patient monitoring and data collection.
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