Data Scientist II providing actionable insights through advanced analytics and consulting with stakeholders at Truist. Conducting statistical analyses and developing predictive models using structured and unstructured data.
ON
Hybrid Director, R&D Data Science, Data Products – Global Regulatory Affairs
Posted 3 weeks ago
About the role
- Director of R&D Data Science focused on developing user-centric regulatory data products for healthcare solutions. Leading strategy to ensure AI-ready, interoperable data assets enhance compliance and submission processes.
Responsibilities
- Lead the strategy, design, and delivery of user-centric data products
- Ensure high-value regulatory data assets are standardized, productized, and integrated
- Collaborate with Global Regulatory Affairs teams to ensure data products are AI-ready, semantically consistent, and interoperable
- Define and deliver data products addressing critical Global Regulatory Affairs use cases
- Develop data products through agile delivery and FAIR data principles
- Contribute to the development and governance of a Global Regulatory Affairs Ontology
- Partner with teams to ensure data products integrate seamlessly into enterprise ontologies
- Define and track KPIs to measure the impact of data products on submission effectiveness and compliance risk reduction
Requirements
- PhD or Master's in informatics, computer science, life sciences, or related discipline
- 8+ years of experience in pharma/biotech R&D with a focus on Global Regulatory Affairs, regulatory operations, regulatory technology, or data product management
- Strong track record in data product development, integration, or semantic modelling in a regulated domain
- Experience working with multi-modal regulatory data, including submission, labelling, intelligence, and compliance datasets
Benefits
- Medical, dental, vision insurance
- Life insurance
- Short- and long-term disability
- Business accident insurance
- Group legal insurance
- Retirement plan (pension)
- 401(k) savings plan
- Long-term incentive program
- Vacation – 120 hours per calendar year
- Sick time - 40 hours per calendar year
- Holiday pay – 13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Condolence Leave – 30 days for an immediate family member; 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Senior Responsible AI Data Scientist focusing on ethical AI within Humana to drive responsible AI initiatives across the organization. Partnering with teams to implement innovative and compliant AI solutions in healthcare.
Director of Data Science leading the Identity fraud product development at TransUnion. Collaborating with stakeholders to build market - leading identity data products and analytic solutions.
Data Analyst supporting internal audit for a bank in Zürich. Building databases, conducting analysis, and presenting findings to senior management.
Manager II, Data Science leading HR Analytics and developing predictive models for decision - making. Collaborating with cross - functional teams to implement data - driven solutions across the organization.
Data Manager for B2B - Mailings at ZEIT Advise, supporting the automation and segmentation of marketing processes in Hamburg. Focusing on CRM systems and email marketing strategies.
Lead Data Scientist at AT&T, building predictive models and analyzing customer lifecycle marketing strategies. Collaborating with cross - functional teams to enhance marketing and business outcomes.
Lead Data Scientist managing AI initiatives for a global IT consulting firm. Overseeing AI strategy, governance, and multidisciplinary team leadership in a hybrid work environment.
Drive enterprise - scale AI strategy and architecture while leading multidisciplinary teams in a global IT consulting firm.
Data Scientist developing analytical and AI solutions for Vibra Energia business impact. Engaging in data ingestion, processing, and machine learning product development.