Associate Director, Integrated Research Management

The Opportunity:

The Associate Director, Integrated Research Management provides leadership across Research disciplines to strengthen operational execution, organizational clarity, and cross-functional alignment within the Discovery organization. This role translates Research strategy into actionable discipline-level plans and drives operational effectiveness within and across scientific teams.

The Associate Director partners with Research leadership to identify business and scientific challenges, improve operating frameworks, and implement scalable solutions that support Discovery performance and organizational growth.

• Translate Research strategy into clear operating plans and drive disciplined execution across Discovery workflows.

• Establish and enforce operational objectives, processes, and decision frameworks that improve cross-disciplinary coordination and execution performance.

• Diagnose and resolve complex operational challenges, removing friction and strengthening clarity, speed, and accountability in program advancement.

• Lead and implement change initiatives within Research, ensuring stakeholder alignment and sustained adoption of improved processes and digital tools.

• Partner directly with senior leadership and cross-functional teams to align priorities and drive operational outcomes.

• Lead and develop the Research Strategic & Administrative Operations discipline, setting performance expectations and fostering a culture of accountability and execution excellence.

Required Skills, Experience and Education:

• Master’s degree in a Life Sciences discipline and at least 8 years’ experience in the biotech/pharmaceutical industry with at least 3 years’ direct experience in Research Operations.

• Significant experience within pharmaceutical or biotechnology Discovery-stage research environments.

• Recognized expertise in Research operations within a laboratory-based scientific setting.

• Demonstrated ability to translate strategic direction into operational execution within matrixed scientific organizations.

• Strong systems thinking and organizational assessment skills.

• Experience working within scientific research platforms (e.g., ELN, LIMS) and familiarity with digital tools that support Research workflows.

• Working awareness of AI-enabled capabilities relevant to Research operations and ability to identify practical applications.

• Proven people leadership experience and ability to influence across disciplines.

Preferred Skills:

• MBA or PhD in Life Sciences, is a plus.

• Experience in Oncology therapeutic area working with small molecules is strongly preferrable.

• Experience transforming and harmonizing complex scientific datasets to enable advanced analytics or AI/ML applications (e.g., data modeling, metadata standards, feature engineering).

• Familiarity with modern data lake/lakehouse architectures and cloud-based research data platforms.

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