Associate Data Scientist - Recent Bio/Chem Grads

at  AbbVie

Company Description
AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Job Description
AbbVie’s Operations and Enterprise Systems (OES) Data Science team is continuously innovating to drive advanced data capabilities across the Operations domain, particularly within Quality, Manufacturing, Supply Chain, and Science and Technology applications.
We are looking for new graduates and early career achievers in STEM domains interested in pursuing opportunities within Data Science. In this role, you will perform data analysis and modeling, collaborate with cross-functional Operations teams, and be supported to continuously learn and develop modern data ideologies.

IN THIS ROLE YOU WILL BE RESPONSIBLE FOR:

• Data Analysis and Modeling: Perform cleaning, analysis, and modeling on datasets related to general Pharmaceutical Operations.
• Data Engineering: Perform basic data engineering tasks, including data model and visual pipeline development, knowledge graphs, and vector database management.
• Generative AI: Stay current on generative AI trends and innovations. Apply learnings to internal applications and projects.
• Visualization: Utilize custom data visualizations within Python and R to explore and present data to stakeholders. Learn and implement front-end development skills for hosting web applications.
• Collaboration: Work closely with peers and cross-functional teams within Operations to understand and address business-related challenges and opportunities.
• Communication: Develop concise and valuable reports and present findings and model insights to both technical and non-technical stakeholders.
• Continuous-Learner: Actively engage in learning opportunities to stay updated on the latest developments within data science and related domains. Pursue professional development opportunities to expand your expertise.
  Qualifications

EXPERIENCES THAT MAKE YOU A STRONG FIT FOR THIS ROLE:

Required:

• A Bachelor’s degree in a STEM field. Can include Math, Physics, Engineering, Computer Science, Chemistry, or Biology.
• 0 – 2 years of experience in a STEM or related field.
• Demonstrated mathematics and statistics skills.
• Creative-thinker able to apply first principles reasoning to solve complex problems.
• Able to showcase a detail-oriented approach to work.

Beneficial:

• A degree in Chemical Engineering, Chemistry or Biology
• Experience in a clinical setting
• Experience in scripting languages (e.g. Python or R) or data querying languages (e.g. SQL).
• Basic experience with dashboard tools, including Python Dash, RShiny, and custom HTML and CSS frameworks.
• Domain knowledge within Pharmaceuticals, Manufacturing Operations, or a translational field from prior internship or career experience.