Associate Data Scientist I

About the Role

The Global Research, Informatics & Platform Solutions team within the Information Research (IR) Division supports multiple areas within Research & Discovery by building visualizations, transforming data, capturing data, and supporting end users. This role participates in data flow documentation and general requirement gathering. It is a cross-functional role, working directly with discovery scientists and technology stakeholders to optimize data capture, visualization, and decision-making.

Key Responsibilities

• Communicate with scientific individuals from Discovery teams to understand existing workflows and data flow & gather requirements.
• Build technology solutions that integrate, visualize, and analyze complex multi-platform data, including omics, biomarkers, & preclinical safety.
• Integrate data sets, understanding the value in capturing data properly.
• Support scientists with their dashboarding or technical needs.
• Demonstrate high proficiency in python, SQL, & other technologies for data storage, transfer, integration, visualization, and analytics.
• Adaptability to work on multiple, sometimes very different, projects at one time.

Requirements & Tech Stack

• Strong programming proficiency in Python (and possibly other modern languages).
• Strong familiarity with data visualization and pipelining tools such as Spotfire, or equivalent.
• Understanding of software development process and familiarity with CI/CD tools.
• Familiarity with modern data science and AI techniques.
• Adaptability to work on multiple, sometimes very different, projects at one time.
• Ability to work independently, multitask, and work within timelines.

Qualifications

• Bachelor’s Degree.
• Background in life sciences, biology, or equivalent required.
• Dedicated team player who can interface with discovery scientists and IT partners.
• Excellent communication skills for cross-functional collaboration & training, including documenting and presenting technical solutions to non-technical stakeholders.
• Outstanding interpersonal, verbal, and written communication skills.
• Interest in further developing technical skills and scientific knowledge.
• A self-motivated learner and thinker with a hands-on approach.