Senior Data Scientist, RBQM Analytics

Role Summary

Senior Data Scientist, RBQM Analytics role enabling the application of advanced analytics techniques across clinical development processes. Drives analytics innovation and experimentation to enable data-driven insights for complex R&D challenges by deploying machine learning and visual analytics. Identifies use cases appropriate for the application of ML and AI. This is a hybrid opportunity based in Lake County, IL (3x/week).

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
• Enables data-driven insights to support clinical development, 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

• 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

Skills

• Machine Learning and other advanced analytics techniques
• Advanced proficiency with visualization tools (Spotfire, Tableau or equivalent)
• Proven ability to communicate analytical and technical concepts to non-technical audiences
• Problem-solving and analytical skills
• Ability to manage multiple priorities in a fast-paced environment
• Experience with cloud computing environments (e.g., AWS, Azure) is preferred

Education

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