ICOA Advanced Insights - Remote

IQVIA; Greater London; Remote; GBP 70,000 - 120,000; Full time

Job summary

IQVIA is seeking an experienced data scientist to lead and execute advanced analytics and system improvements across clinical and operational domains. You will develop novel data science methodologies to extract insights from diverse data sources and act as SME to guide teams in selecting the right approaches.

The role involves formulating business problems with stakeholders, designing analysis plans, and developing ML methods (supervised and unsupervised) using Python or R.

Qualifications

• Master's degree in data science, statistics, informatics, OR or related field.
• Experience building data ecosystems, pipelines, data wrangling and analytics.
• Strong English communication and ability to translate business requirements into analytics solutions.
• Experience with supervised and unsupervised ML methods and model deployment process.
• Experience with Python or R programming in large-scale data projects.

Responsibilities

• Lead and execute clinical and operation advanced analytics or system improvements.
• Develop novel data science methodologies to generate insights from disparate data sources.
• Provide SME to identify and apply appropriate data science methodologies.
• Formulate business problems with stakeholders and create analysis plans.
• Develop ML methodologies (supervised and unsupervised) as needed.
• Develop scalable code in Python or R for DS projects and maintain version control.
• Perform data engineering, preprocessing and wrangling using SAS, SQL, NOSQL, or graph models.
• Validate ML outputs to ensure high-quality results.

Skills

Python

R

SQL

Machine learning

Data wrangling

Exploratory data analysis

Education

Master's degree in data science or related field

Tools

SAS

NOSQL

Graph databases

Job description

Lead and execute clinical and operation advanced analytics or system improvements

Develop novel data science methodologies to generate deep insights from disparate data sources.

Provide subject matter expertise to teams in identification and application of the right data science methodology for a business problem.

Formulate the right business problem in collaboration with business and create necessary analysis plans.

Develop machine learning methodologies both supervised and unsupervised as appropriate to the business problem.

Develop scalable and robust code in relevant language such as R or Python in support of data science projects.

Perform exploratory data analysis , system design analysis, integration design analysis, database design analysis to generate insights and help answer business questions.

Ensure the life cycle management of the models is maintained through code repositories and version control tools.

Perform data engineering, data preprocessing and data wrangling activities utilizing different approaches such as SAS, SQL, NOSQL, graph models. Perform thorough validation of the machine learning output to ensure a high-quality work product.

Education and Experience Requirements:

• Individual should have a minimum of 5 years' experience with relevant master's degree in data science, statistics, Informatics, operations research, computer science, engineering or information systems or a related discipline
• Data science and visualization i.e., Building data ecosystem and pipelines, Data Processing, Data Wrangling and Analytics (Reports, BI dashboards, ML models) and with SQL and Python or R programming knowledge.
• Proven ability to translate and influence business requirements against existing analytics and data integration capabilities whilst identifying capabilities challenges and necessary solutions to ensure realistic goal setting for future analytics modelling.
• A proven record in shaping and delivering key programs that optimized performance and delivered project support in matrix environments is required.
• Experience in advanced analytics processes including gaining insight from structured and unstructured data, predictive modelling and optimization and associated systems/database infrastructure
• Strong working knowledge of traditional statistical methodologies.
• Strong working knowledge of machine learning methodologies, both supervised and unsupervised learning methods.
• High proficiency in either Python or R
• Familiarity of best practices in machine learning model development, validation and deployment.
• Solid understanding of life cycle management of the code and code repositories.
• Extensive experience with data wrangling, data preprocessing and data engineering techniques on large datasets.
• Technical expertise, preferably in pharmaceutical clinical or a regulated industry operation, with extensive experience gained through working with diverse and complex data integration, warehousing and ingestion

This role is not eligible for UK visa sponsorship

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

IQVIA 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.