Associate Director, Data Analyst

Merck & Co.•Rahway, NJ

94d•Hybrid

About The Position

Information Sciences is seeking an Associate Director, Data Analyst to support the R D efforts related to the Insider Risk/Trade Secret (IR/TS) program through advanced data 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. 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.

Requirements

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 Experience with data loss prevention and protection strategies and tools
Develop and maintain close working relationships with key internal departments
Must be able to plan, prioritize, and work effectively in a dynamic and fast-paced environment
Critical thinking skills and ability to consolidate and understand complex data sets
Experience using programming languages such as Python or R, and proficiency in SQL for data extraction, manipulation, and analysis
Excellent problem-solving skills with a strong analytical mindset and attention to detail
Ability to communicate complex data insights effectively to both technical and non-technical audiences
Strong commitment to compliance and ethical standards in data handling and analysis
Demonstrate and maintain in-depth knowledge of the research pipeline, disease and therapeutic areas, and industry trends
Demonstrated ability to work collaboratively in a matrixed environment and manage multiple projects simultaneously
Excellent written, verbal and interpersonal communication skills
High degree of comfort learning and applying new tools and digital technologies
Innate scientific curiosity, technical creativity, and innovative thinking, motivated to break new ground in the field of information analysis
Interest in working collaboratively, cross-functionally, and in interdisciplinary teams with an ability to effectively communicate, both verbally and in writing to scientists and non-scientists
Strong knowledge of drug discovery, statistical concepts, and evaluation and interpretation of related data
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 multiple projects and learning responsibilities

Nice To Haves

Experience with natural language processing, machine learning, automation, PowerApps, PowerBI
Experience with advanced functionality of Teams

Responsibilities

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 internal and 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
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
Manages, tests, and documents approaches