Data Scientist, Risk Based Quality Management Analytics

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 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

• For assigned projects, works with the cross-functional team to enable fit-for-purpose analytics solutions.
• Works with team to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized and follows the design principles and standards established by the team
• Leverages proven statistical methodologies and those methodologies established as standard by the team; in addition to leveraging proven statistical methodologies and standards established by the team, experiments and recommends additional techniques to solve business problems
• Enables data-driven insights to support of assigned projects
• If assigned, participates in functional innovation and process improvement initiatives;
• 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.
• Identify business needs and support the creation of standard KPIs, reports, and statistical analyses

• Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
• Must have 2-3 years of Data science and analytics-related experience
• Complete or Full / Career proficiency in R, Python, SQL, or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
• Intermediate proficiency with visualization tools like Spotfire, Tableau, Microstrategy or equivalent
• Experience with Machine Learning and other advanced analytics techniques preferred
• 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

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount isearned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that areallocable to a   particular employee  remains in the Company's sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolutediscretion,  consistent with applicable law. ​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

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