BioSpace · 6 days ago

Senior Data Scientist, Post Market Quality

North Chicago, IL

Full-time

Onsite

Senior Level

4+ years exp

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Comp. & Benefits

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Responsibilities

Operate cross-functionally in a highly collaborative manner within PMQA business unit, functionally-aligned data scientists, functional leaders and business partners.

Consult with business users in the analysis of requirements and recommend solutions managing the compliance and analysis requirements, which anticipate the future impact of changing business requirements.

Leverages proven statistical methodologies and those methodologies established as standard by the team.

Support, develop, and implement opportunities for technology transfer of data science methods into functional areas spearheading the use of new methods and expanding the footprint of impactful data science, Assist in the development of standards and procedures; apply and execute standard information theories, concepts and techniques.

Enables data-driven insights to support of PMQA activities.

If assigned, participates in functional innovation and process improvement initiatives.

Ensures adherence to federal regulations and applicable local regulations, i.e. regulatory guidelines (such as the FDA), AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to quality complaints.

Responsible for coaching and mentoring junior team members.

Identify business needs and support the creation of standard KPIs, reports, and statistical analyses.

Qualification

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Data ScienceStatisticsPredictive AnalyticsData VisualizationSpotfireTableauQlikSQLProcess DesignSystems DevelopmentData AnalysisStructured DataUnstructured DataBig DataData QualityData CleaningData ValidationBatch ProcessingStream ProcessingMachine LearningAdvanced AnalyticsSystems TestingIT Implementation

Required

Bachelors degree with 6 years of technical experience, or masters degree with 4 years of experience in a related quantitative field with 2 years of experience in a non-academic setting

Degree preference for Data Science/Statistics/Predictive Analytics or similar

Intermediate-level proficiency in data science tools such as data visualization tools and techniques

Intermediate proficiency with visualization tools like Spotfire, Tableau, Qlik, SQL, or equivalent

Experience in designing and developing processes and systems to consolidate and analyze data. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream)