Associate Director, Research Data Protection & AnalyticsMerck & Co. • Rahway, New Jersey, United States
Associate Director, Research Data Protection & Analytics
Merck & Co.
- Rahway, New Jersey, United States
- Rahway, New Jersey, United States
À propos
Primary Activities
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 within the 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
Build stakeholder engagement through targeted outreach and communications
Cultivate strategic partnerships, understand business needs, establish rapport, and nurture open communication to facilitate development of client‑focused programs and initiatives
Act as agent for change in how we do our work
Contribute to assessment of current and future information needs
Maintain strong commitment to compliance and ethical standards in data handling and analysis
Education & Experience Degree in a scientific, medical, data science, or mathematical discipline plus experience in the pharmaceutical/biotech industry.
Bachelor's and 9+ years of experience
Master's and 7+ years of experience
PhD and 3+ years of experience
Required Skills
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 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 tasks, and superior attention to detail in developing tailored solutions, with a high degree of reliability and integrity
Well‑organized and capable of balancing direction from others with taking initiative to manage multiple projects
Data Analysis, Data Extraction, Data Loss Prevention (DLP), Information Protection, Machine Learning (ML), Microsoft Power Business Intelligence (BI), Prioritization, Scientific Literacy
Preferred Skills
Experience with natural language processing, machine learning, automation, PowerApps, PowerBI
Experience with advanced functionality of Teams
Knowledge of statistical concepts/modeling
Benefits We offer a comprehensive package of benefits including medical, dental, vision, retirement benefits, paid holidays, vacation, and compassionate and sick days. Annual bonus and long‑term incentive may be eligible.
Salary range: $142,400.00 - $224,100.00.
Employment Details Employee status: Regular.
Relocation: Domestic.
Travel: 10%.
Shift: Not indicated.
Flexible Work Arrangements: Hybrid.
Valid Driving License: No.
EEO Statement As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.
Location Requirements United States and Puerto Rico residents only.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records in compliance with the San Francisco Fair Chance Ordinance.
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws.
Posting End Date Job posting end date: 07/7/2026.
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Compétences linguistiques
- English
Avis aux utilisateurs
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