Data Scientist at IQVIA

London, England, United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years), Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Healthcare, Life SciencesIndustries

Requirements

Master’s (or 2:1 Bachelor’s with relevant project/internship) in Computer Science, Statistics, Data Science, Engineering, or related fields
0-2 years’ experience working as a data scientist or junior software developer
Experience solving problems within commercial life science and healthcare data (e.g., prediction of health outcomes such as disease progression, line of therapy, market sizing, etc.)
A proactive, innovative, and pragmatic approach to problem solving and an ability to think critically and independently
Ability to work as part of a cross-functional team
Experience with software development lifecycle, particularly using Git
Skilled in C++, Python, Spark, and SQL
Proficient in using data science packages (e.g., sklearn, pandas, matplotlib, etc.)
Ability to write clean and documented code, as well as understanding and modifying existing code bases
Experience communicating complex analytical concepts and insights to both technical and non-technical audiences
Demonstrated creativity, critical thinking, project planning, and attention to detail capabilities
Exposure to GenAI technologies, including but not limited to prompt engineering and Agentic AI

Responsibilities

Refactor legacy C++/Python components
Design scalable, monitored pipelines in Snowflake
Conduct exploratory analyses that inform new product development
Create MVP applications to quickly test idea feasibility for client-facing teams
Support the UK rollout of IQVIA Agentic AI platform to UK data assets
Work with diverse, large-scale datasets
Apply robust engineering and analytical approaches
Deliver solutions that improve efficiency and enable innovative healthcare data and analytical products
Interact with internal and external stakeholders from different backgrounds, using good technical and non-technical communication skills
Opportunity to collaborate with software engineers, data architects, and product managers to build scalable, automated routines and applications (Product Development)
Contribute to business development initiatives through technical support for demos, thought leadership (e.g., publications, blogs, workshops), and input on project proposals (Business Development)
Engage in delivering tailored solutions, generating reports, and communicating findings effectively to meet client needs (Client Engagement)

Skills

Key technologies and capabilities for this role

PythonC++SnowflakeData PipelinesExploratory Data AnalysisMVP DevelopmentAI PlatformsHealthcare DataLife Science Data

Questions & Answers

Common questions about this position

What skills are required for this Junior Data Scientist role?

Required skills include proficiency in C++, Python, Spark, and SQL, experience with data science packages like sklearn, pandas, and matplotlib, and the ability to write clean, documented code. Additional needs are strong communication skills for technical and non-technical audiences, experience with Git and the software development lifecycle, and exposure to GenAI technologies like prompt engineering and Agentic AI.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this Data Scientist role remote or office-based?

This information is not specified in the job description.

What kind of team will I be working with in this role?

You'll work as part of a cross-functional team interacting with internal and external stakeholders from different backgrounds, with opportunities to collaborate with software engineers, data architects, product managers, and client-facing teams.

What qualifications make a strong candidate for this Junior Data Scientist position?

A Master’s (or 2:1 Bachelor’s with relevant experience) in Computer Science, Statistics, Data Science, or related fields, 0-2 years’ experience as a data scientist or junior software developer, and experience with commercial life science/healthcare data problems are key. Bonus for Java skills, pharmaceutical market knowledge, and a proactive, innovative approach with strong critical thinking.

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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