Senior Consultant - Data Science, Commercial Services Analytics US Dedicated

Description

The company provides healthcare analytics, technology and consulting, along with clinical research and commercial insights for life sciences and healthcare clients.

This US-dedicated Commercial Services Analytics role sits on a multidisciplinary team that builds new methods for pulling useful findings out of intricate healthcare data.

You will work alongside researchers, consultants and technical specialists to turn advanced analysis into plain guidance for the business.

Responsibilities

• Analyze and model large, complex healthcare datasets using statistical and quantitative methods.
• Apply mathematical and statistical models to find the main drivers and relationships in the data.
• Assess how shifts in market or clinical conditions would change outcomes.
• Forecast trends and results.
• Turn findings into clear, practical recommendations for internal and external stakeholders.
• Help design and run custom research studies, including analysis, interpretation and synthesis of results.
• Support the writing and publication of research findings, reports and presentations.
• Work effectively across cross-functional teams to deliver high-quality analytics solutions.

Requirements

• Bachelor's degree in mathematics, statistics, data science, or a related technical or quantitative field.
• Strong drive for analytics, data-driven problem solving and research.
• Working knowledge of statistical programming tools such as Python or R.
• Experience applying statistical techniques, including machine learning models, clustering and segmentation, and time-series analysis.
• Ability to turn complex analytical results into conclusions that matter to the business.
• Strong written and verbal communication skills, with the ability to present findings clearly.
• Fluent English, written and spoken.
• Preferred: interest in healthcare, life sciences or real-world evidence analytics.
• Preferred: comfort working in a busy, collaborative, client-focused environment.
• Preferred: strong attention to detail and a commitment to analytical rigor.
• Preferred: curiosity and willingness to learn new methods and domains.

Conditions

The company is committed to equal treatment of women and men as a strategic principle in its corporate and human resources policies.