Associate Consultant Advanced Analytics

Sobre a vaga

This is an exciting opportunity to work as an Associate Consultant in IQVIA, one of the world's leading multi-disciplinary and cross-functional teams working with Real World patient data to help our client base answer their key business questions, make more informed decisions, and deliver results. Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare conditions, predicting patient behavior, such as switching, and understanding a patient’s diagnosis and treatment journey through the health system.As part of this team, you will be at the forefront of evolving the team’s offerings while assuming the following responsibilities:Essential FunctionsBusiness Development Support:Research clients’ business problems and find potential solutions through our offerings, while supporting proposals and client pitches. Work closely with internal stakeholders from around the business to ensure the proposed solution is truly innovative and provides an exciting value proposition to clients.Project Support:Support the design and delivery of advanced statistical/machine learning projects such as predictive modeling, patient journeys, HCP targeting, and HCP alerts. Work closely with senior consultants and data scientists to translate the clients’ business needs into statistical methodologies and be responsible for delivering the findings in clinically and commercially meaningful interpretations. Throughout the process you will apply problem solving and critical thinking, intellectual engagement, and maturity in communication.Proactively and independently manage agreed to tasks and timelines Team Support: Support and take ownership of various internal initiatives including: project automation and standardization and team building.Support the team by helping to execute new offeringsMandatory RequirementsBachelor's degree in Life Sciences, Business, Economics, Engineering, Statistics, Mathematics, Computer Science, or related field2-4 years of professional experienceStrong analytical and problem-solving skillsAdvanced Excel and PowerPoint skillsExcellent communication and stakeholder management skillsAbility to work independently and manage multiple prioritiesExperience supporting analytics/data-driven projectsNice to HaveHealthcare/Life Sciences experienceSQL and/or PythonMachine Learning or GenAI exposureExperience with patient-level healthcare dataIQVIA 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. . Vaga Exclusiva para Pessoa com deficiência (PCD)

Habilidades

O que você vai fazer

• Pesquisar problemas de negócios dos clientes e propor soluções.
• Apoiar propostas e apresentações para clientes.
• Apoiar o design e entrega de projetos de machine learning.
• Traduzir necessidades de negócios em metodologias estatísticas.
• Gerenciar tarefas e prazos de forma proativa e independente.

O que você precisa ter

• Bacharelado em Ciências da Vida, Negócios, Economia, Engenharia, Estatística, Matemática, Ciência da Computação ou área relacionada.
• 2-4 anos de experiência profissional.
• Fortes habilidades analíticas e de resolução de problemas.
• Excel e PowerPoint avançados.
• Excelentes habilidades de comunicação e gestão de stakeholders.

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