Senior Data Scientist, RBQM Analytics
AbbVie
- Location
- North Chicago, IL, United States
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 94 approvals (FY2023)
- Posted
- 1h ago
Skills
About this role
Company Description
About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
Purpose Risk Based Quality Management (RBQM) Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, and Machine Learning expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions. The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development continuum. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D by deploying advanced analytics techniques like Machine Learning and Visual Analytics.
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 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, SQL or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques Expert proficiency with visualization tools like Spotfire, Tableau, Microstrategy 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 Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The