Associate Director, Research Data Protection & Analytics

Position Overview:

Information Sciences is seeking an Associate Director, Research Data Protection & Analytics to support R&D efforts related to insider risk, trade secret protection, and research data governance through advanced analysis and strategic collaboration. This role plays a critical part in driving data-driven decision-making by uncovering actionable insights from complex datasets and delivering key metrics and insights. Under the direction of the group lead, the successful candidate will manage day-to-day program activities, foster strong stakeholder partnerships, and champion innovative solutions that enhance operational efficiency.

With a passion for science and technology, this position offers the opportunity to contribute meaningfully to protecting valuable organizational assets.

If you thrive on solving complex information challenges, enjoy leading cross-functional collaborations, and are motivated by the opportunity to enhance the impact of scientific research through innovative information strategies, then we encourage you to apply.

• The primary activities include, but are not limited to:
• Principal responsibility for managing the day-to-day activities for the program
• Contribute to asset identification
• Lead the maintenance and lifecycle tracking of assets
• Coordinate external monitoring strategies and communications
• Perform data analysis to derive insight and identify potential opportunities for the organization
• Deliver routine metrics to leadership to provide insight about activities their organization
• Identify patterns and trends in large datasets to extract actionable insights
• Utilize complex analytical techniques to enhance data processing capabilities
• Conduct in-depth data analysis to understand data relationships and inform decision-making processes
• Develop and maintain dashboards, KPIs, and reporting for research data protection and insider risk activities
• Analyze patterns in research data movement, access, and handling to identify risk trends and improvement opportunities
• Partner with R&D stakeholders to understand research workflows and apply risk-based protection controls
• Support asset identification and lifecycle tracking for critical research data and other crown jewel assets
• Translate analytical findings into recommendations for leadership and program strategy
• Partner closely with cross-functional teams to communicate data-driven recommendations and findings to stakeholders at various levels, including senior management
• Collaborate with team members to define key metrics and develop analytical frameworks
• Building stakeholder engagement through targeted outreach and communications
• Cultivating strategic partnerships, understanding business needs, establishing rapport, and nurturing open communication to facilitate development of client focused programs and initiatives
• Agent for change in how we do our work
• Contributes to assessment of current and future information needs
• Strong commitment to compliance and ethical standards in data handling and analysis

• Degree in a scientific, medical, data science, or mathematical discipline plus experience in pharmaceutical/biotech industry:
  • Bachelor's and 9+ years of experience
  • Master's and 7+ years
  • PhD and 3+ years

• Experience with data loss prevention and information protection strategies
• Strong information governance skills, including identifying sensitive data, applying data classifications, mapping data handoffs/transfers across systems, and defining KPIs
• High degree of scientific literacy, enabling effective risk prioritization and the development and continuous enhancement of data protection
• Experience creating or evolving policies, standards, and procedures for information protection, with a strong commitment to compliance and ethical standards
• Experience with programming languages such as Python or R, and proficiency in SQL for data extraction, manipulation, and analysis
• Ability to consolidate, interpret, and derive insights from complex datasets, and effectively communicate findings to both technical and non-technical audiences
• Ability to maintain in-depth knowledge of the research pipeline, disease and therapeutic areas, and relevant industry trends

• Work collaboratively in a matrixed, cross-functional, and interdisciplinary environment, while developing and maintaining strong relationships with key internal departments and stakeholders
• Ability to influence and drive outcomes without direct authority
• Conduct outreach and training to promote data protection and governance practices

• Systematic problem-solving, quick grasp of things and superior attention to detail in developing tailored solutions, high degree of reliability and integrity
• Well-organized and balances taking direction from others (sponsors, partners, clients) with taking initiative to manage mul