Sr Data Scientist – AI Solutions

Role Summary

Sr Data Scientist – AI Solutions at AbbVie. A team of data scientists with a unique blend of Business, Scientific, and Machine Learning expertise who seek to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose data analytics solutions. Collaborate with stakeholders to outline the problem, explore solutions, refine opportunities and deliver a product with a continuous innovation mindset.

Responsibilities

• Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
• Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
• In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
• Explores and apply advanced Natural Language Processing (NLP) and Large Language Model (LLM) approaches to extract, synthesize, and contextualize insights from unstructured clinical and operational data sources
• Enables data-driven insights to support of clinical development continuum, including precision medicine
• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
• Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
• Responsible for coaching and mentoring junior team members.
• Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior

Qualifications

• Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
• Must have 3-5 years of analytics-related experience in clinical research including demonstrated high-level analytics and leadership competencies.
• Advanced career level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
• Expert proficiency with visualization tools like Spotfire, Tableau or equivalent
• Proven expertise with Machine Learning and other advanced analytics techniques
• Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman’s terms
• Demonstrated problem-solving and analytical skills
• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
• Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) is preferred
• Hands-on experience applying Natural Language Processing (NLP) and/or Large Language Models (LLMs) to extract insights from unstructured data is preferred

Skills

• Machine Learning
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Data Analytics
• Statistical Modeling
• Data Visualization
• Cross-functional Collaboration

Education

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field; Master’s degree preferred

Additional Requirements

• Hybrid onsite 3x/week in Lake County, IL