Associate Director, Research Data Protection & Analytics

Job Description

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.

Primary Activities:

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

Skills:

Education/Experience

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

Required

Technical & Asset Protection

• 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