Senior Data Scientist-AI Solutions

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 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