Senior Clinical Analytics and Data Science Lead

IQVIA; Manchester; On-site; GBP 65,000 - 90,000; Full time

Job summary

IQVIA in the United Kingdom invites applications for a data science role focused on clinical and operational analytics. Lead and execute advanced analytics projects, develop novel methodologies, and provide SME guidance to teams tackling business problems.

You will design analysis plans, build ML models (supervised and unsupervised) in Python or R, and engineer data pipelines, ensuring robust model lifecycle management and rigorous validation on large datasets.

Qualifications

• Minimum 5 years’ experience with relevant master’s degree.
• Strong Python or R with data processing and ML experience.
• Experience translating business requirements into analytics plans.
• Proven ability to deliver programs improving performance in matrix environments.
• Knowledge of data integration, warehousing and ingestion in regulated environments.

Responsibilities

• Lead and implement advanced analytics or system improvements.
• Develop data science methodologies to generate insights from disparate sources.
• Provide SME guidance on selecting data science methods for business problems.
• Formulate business problems with stakeholders and create analysis plans.
• Develop ML models (supervised and unsupervised) as appropriate.
• Develop scalable code in R or Python for data science projects.
• Perform exploratory and design analyses to generate insights.
• Ensure lifecycle management of models through version control.
• Data engineering and preprocessing using SAS, SQL, NoSQL, and graph models; validate ML outputs.

Skills

Python

R

Machine learning

Data wrangling

SQL

Statistical analysis

Data visualization

Education

Master's degree in data science

Related field

Tools

SAS

NOSQL

Graph databases

Git

Job description

IQVIA in the United Kingdom invites applications for a data science role focused on clinical and operational analytics. Lead and execute advanced analytics projects, develop novel methodologies, and provide SME guidance to teams tackling business problems.

You will design analysis plans, build ML models (supervised and unsupervised) in Python or R, and engineer data pipelines, ensuring robust model lifecycle management and rigorous validation on large datasets.