Senior Machine Learning Engineer, Data Science and Analytics Incubator
Job location
North Chicago, IL, USA
Type
Full Time
Responsibilities:
Connects with cross-functional teams to design work products 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 the Data Science & Analytics Incubator
Enables data-driven insights to support the 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.
Requirements & Skills:
Bachelor’s degree in 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
