Data Scientist - Clinical Trial Risk and Quality Analytics
AbbVie’s mission is to discover and deliver innovative medicines 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: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Clinical Analytics is an ambitious team of Data Scientists 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 data analytics solutions.
The Data Scientist, Clinical Analytics role is a key technical leadership role to enable application of advanced analytics techniques across clinical development processes. 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. Ensures consistency in analysis techniques and delivery against cross-functional needs. Accountable for gathering cross-functional input. Ensures data integrity and quality prior to analysis.
Responsibilities:For assigned clinical trials, works with the cross-functional study team to enable fit-for-purpose analytics solutions. Aligns DSS study teams with program- and study-level analytics strategies Works with team to ensure analytical work product is consistent from study to study 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 Enables data-driven insights to support of clinical trial data review activities Ensures that data presented, and presentations, maintain study integrity. This role is required to support multiple use cases and should ensure that each work product is fit for purpose 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. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development Responsible for coaching and mentoring junior team members Identify business needs and support the creation of standard KPIs, reports, and statistical analyses
Qualifications:Bachelor’s or Master's degree in statistics, mathematics, analytics, bioinformatics, data science or equivalent field with 4+ years (BS), 2+ years (MS) or 0+ years (PhD) of related experience Intermediate-level proficiency in R, SAS or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques Intermediate proficiency with visualization tools like Spotfire, Tableau 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
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Equal Employment Opportunity
At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.