Senior Machine Learning Engineer, Data Science And Analytics Incubator

Job Description
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
- Design machine learning pipelines and systems
- Leads data science projects from inception, ideation, development, and implementation
- Builds APIs to serve machine learning model results to applications
- Ideates and builds feature stores to serve data science projects
- Experiments and builds new capabilities as part of Data Science &
Analytics Incubator
- 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