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Data Science & Advanced Analytics Manager

Wayne, Pensilvania Full time R1441728

Wayne, Pensilvania| Carolina del Norte| Nueva Jersey| Remote

  • Full Time
  • Level: Entry-level, Mid-level, Senior-level

Build a rewarding career in life sciences consulting and forge your own path. Partner with collaborative teams and leaders across unique projects and geographies, delivering innovative solutions to the most complex healthcare problems along the way. Working at IQVIA means changing outcomes for patients one data set, product offering and innovative solution at a time.

As a Consultant at IQVIA, you'll have the opportunity to grow your career and explore opportunities in brand and integrated research solutions, go-to-market strategy, commercial excellence, real world data, financial investor consulting and more.

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Perfil de éxito

¿Qué hace que un consultor de IQVIA tenga éxito? Echa un vistazo a las competencias principales que estamos buscando y comprueba si tú las tienes

  • TRIUNFADOR
  • COMUNICACIÓN
  • PENSAMIENTO CRÍTICO
  • BUENAS HABILIDADES DE ADAPTACIÓN
  • ESTRATÉGICO
  • DETALLISTA

Qué puedes esperar

Desarrollo profesional

Entornos que mejoran sus habilidades

Alta especialización

Trabajar en áreas de experiencia distinguidas

Potencial de crecimiento

Caminos claros hacia el éxito

Colaboración

Equipos que trabajan juntos para lograr objetivos comunes

Proyectos innovadores

Proyectos que resuelven problemas complejos mediante nuevas formas

La formación más completa

Programas para ayudarte a desarrollar tus conocimientos y a adquirir destrezas

Me incorporé a IQVIA después de graduarme en la universidad y agradezco las oportunidades tan increibles que se me han presentado en los últimos cuatro años. Durante este periodo, he podido trabajar con managers inspiradores que me han apoyado en mi desarrollo tanto profesional como personal.

Arthur

Consultor de Instituciones Financieras

Data Science & Advanced Analytics Manager

Wayne, Pensilvania, Estados Unidos| Carolina del Norte, Estados Unidos| Nueva Jersey, Estados Unidos| Remote R1441728
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Descripción del puesto

Role Summary:

IQVIA Commercial Solutions Insight Hub (CSIH) is a market-leading, delivery-oriented division within IQVIA Commercial Solutions. CSIH team members consult with manufacturers in the pharmaceutical and biotechnology industry to meet the challenges of today’s complex and evolving healthcare landscape. As part of CSIH, the Data Science & Advanced Analytics group (DSAA) is at the forefront of leveraging cutting-edge data science techniques and advanced analytics to drive innovation in healthcare. Comprised of experts in data analysis, machine learning, and artificial intelligence, the team focuses on transforming complex healthcare data into actionable insights. By harnessing patient-level claims data and other diverse datasets, the DSAA team develops robust models and solutions that enhance decision-making, optimize outcomes, and support the development of new healthcare offerings.

You will support a range of AI/ML-driven projects and research initiatives for our pharmaceutical clients, with a particular focus on the commercial pharma sector. You will enhance the methodology and packaging of advanced analytics solutions for client delivery. You will contribute to the execution of multiple consulting projects of varying complexity, ensuring timely and on-budget delivery. Additionally, you will collaborate with IQVIA principals, engagement managers, and other key stakeholders on product development and planning to anticipate and meet evolving customer needs.

The ideal candidate will have a strong quantitative background and the ability to transform business questions into analytical models, develop algorithms, and conduct AI/ML experiments to rapidly test new ideas.

If you are passionate about leveraging data and machine learning to drive innovation in healthcare, and possess the required technical skills and analytical mindset, we encourage you to apply for this exciting opportunity.

Responsibilities:

  • Deliver AI/ML-based custom patient studies for commercial pharmaceutical clients.

  • Support the development and execution of statistical methodologies for standard and custom research projects.

  • Conduct statistical analyses to derive conclusions from studies and assist in preparing written summaries of study results.

  • Design and develop innovative analytical solutions and methodologies to enhance existing offerings.

  • Create and implement automation pipelines for existing offerings to improve operational efficiency and streamline processes.

  • Collaborate with cross-functional teams to engineer comprehensive solutions and integrate multiple methodologies.

  • Rapidly prototype and test new ideas using machine learning and data mining technologies, contributing to the development of new AI/ML offerings and go-to-market initiatives.

  • Validate statistical analysis and ensure the accuracy of deliverables.

  • Understand client’s needs, helps identify and resolve issues, support project engagement teams in building and maintaining positive client relations for advanced analytics offerings.

  • Provides project management support such as deck presentation and data visualization in the delivery of standard and custom studies.

Requirements:

  • Bachelor’s degree and 7 years of experience in applied statistics, OR market research or master's degree in Statistics, Mathematics or related field with at least 4 years of experience

  • PhD with 0-3 years of industry experience (preferred).

  • Strong hands-on experience with Python/R, SQL and/or PySpark.

  • Understanding of machine learning and deep learning algorithms and statistical models.

  • Ability to prototype business questions into mathematical formulas and develop algorithms.

  • Excellent problem-solving skills with the ability to perform moderate analysis and information gathering.

  • Exceptional communication skills, capable of presenting complex information credibly and effectively.

  • Ability to manage multiple projects simultaneously while maintaining strict attention to detail and adherence to deadlines.

Preferred Experience:

  • Experience in the healthcare industry, particularly in pharmaceutical commercial analytics.

  • Experience analyzing patient-level data such as medical claims, prescription data, and insurance claims.

  • Familiarity with large-scale data projects and analytical product development.

  • Proven ability to discover insights from large data sets and interact with cross-functional teams.

  • Project/program management skills in data/analytics settings.

  • Ability to multi-task balancing work needed across multiple client projects at the same time.

  • Experience in web application development and MLOps is a plus.

  • Strong presentation and data visualization skills are a plus (Power Point, Excel, Tableau etc.).

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.com

We are committed to providing equal employment opportunities for all, including veterans and candidates with disabilities. https://jobs.iqvia.com/eoe

IQVIA’s ability to operate and provide certain services to customers and partners necessitates IQVIA and its employees meet specific requirements regarding COVID-19 vaccination status.https://jobs.iqvia.com/covid-19-vaccine-status

The potential base pay range for this role, when annualized, is $120,700.00 - $201,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
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