Strategic Lead, Digital Scientific Workflows

Merck; Boston (MA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Annual bonus

Job summary

Merck is seeking an Associate Director to own the sample management workflows across multiple modalities, integrating LIMS, Appian and Benchling to support drug substance, product and analytical development. You will collaborate with scientists and digital teams to implement enterprise tools and analytics, shaping the DSCS data strategy while mentoring colleagues in a fast-paced, multidisciplinary setting.

This hybrid role offers opportunities to influence global pipelines and drive data-driven

Qualifications

• Experience integrating data capture systems into scientific workflows.
• Ability to map scientific workflows and drive tool adoption.
• Experience defining data capture practices and metadata schemas.
• Strong mentoring and stakeholder influence across teams.

Responsibilities

• Own sample management domain across modalities with systems awareness.
• Act as SME/coordinator for LIMS, Appian and Benchling.
• Gather requirements to build digital/data solutions with pipeline impact.
• Design dashboards and data exports enabling collaborations.
• Mentor junior team members and promote DSCS data strategy.

Skills

Data-driven mindset

Cross-functional leadership

Mentoring

Communication skills

Strategic planning

Education

Ph.D. in related field

MS in related field

BS in related field

Tools

LIMS

Appian

Benchling

Git/GitHub

Job description

Merck is seeking an Associate Director to own the sample management workflows across multiple modalities, integrating LIMS, Appian and Benchling to support drug substance, product and analytical development. You will collaborate with scientists and digital teams to implement enterprise tools and analytics, shaping the DSCS data strategy while mentoring colleagues in a fast-paced, multidisciplinary setting.

This hybrid role offers opportunities to influence global pipelines and drive data-driven