Senior AI Engineer at IQVIA

Cambridge, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceutical, Healthcare, SoftwareIndustries

Requirements

Candidates should possess a Master’s degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field, and several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Proficiency in Python, experience with Java, C++, or deep learning frameworks is preferred, along with strong knowledge of SQL and database systems. Hands-on experience with Kubernetes, Docker, Linux, and CI/CD pipelines is also required.

Responsibilities

The Senior AI Engineer will deploy fit-for-purpose models and design and implement AI algorithms for pharma and healthcare applications, leading the transition of machine learning research into viable prototypes and scalable production systems. They will apply advanced techniques in natural language processing and machine learning to enhance model performance, validate and test models for real-world deployment, build prototypes and take ownership from design to production, and provide technical leadership and consultation for internal teams and external clients. Additionally, the role involves mentoring junior engineers and contributing to team development, as well as executing experiments to explore innovative solutions to pharma-related challenges.

Skills

Machine Learning

Natural Language Processing

Python

SQL

Kubernetes

Docker

Linux

CI/CD

Java

C++

Deep Learning

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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