Quality Data Scientist

AbbVie is a biopharmaceutical company developing innovative medicines and solutions for serious health issues. The Quality Data Scientist will develop and oversee predictive and prescriptive models, deliver data science applications and studies, and provide analytics-driven insights for Operations. The role also involves cross-functional consultation, stakeholder collaboration, mentoring, and ensuring compliance with quality and regulatory standards.

What you'll do:

• Operate cross-functionally in a highly collaborative manner with fellow data scientists, senior functional leaders, and business partners
• Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business needs
• Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, deep learning, predictive modeling, and Gen AI
• Build relationships with stakeholders and collaborate with other statistical and data science teams in AbbVie while mentoring and coaching team members
• Ensure that data presented to key stakeholders and presentations maintain study integrity. This role is required to support multiple use cases and should ensure that each work product is fit for purpose
• If assigned, participates in functional innovation and process improvement initiatives
• Ensures adherence to federal regulations and applicable local regulations, Good Manufacturing Practices (GMPs), 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
• Responsible for coaching and mentoring junior team members
• Identify business needs and support the creation of standard KPIs, reports, and statistical analyses

What they're looking for:

• Bachelor's or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field with 4+ years (BS), 2+ years (MS) or 0+ years (PhD) of related experience
• Intermediate-level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
• Intermediate proficiency with visualization tools like PowerBI, Spotfire, Tableau or equivalent
• Intermediate proficiency with data science platforms like Dataiku, Snowflake, Databricks
• 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 with Machine Learning and other advanced analytics techniques preferred

Benefits:

• Paid time off (vacation, holidays, sick)
• Medical/dental/vision insurance to eligible employees
• 401(k) to eligible employees
• Eligible to participate in short-term incentive programs