Biopharma Data Engineering & Analytics Director — Hybrid

Merck Gruppe - MSD Sharp & Dohme; Rahway, Northern (NJ, KY); Hybrid; USD 191,000 - 300,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive

Comprehensive benefits

Hybrid work arrangements

Job summary

Merck Sharp & Dohme seeks a Director of Data Engineering and Analytics within Small Molecule Science & Technology to lead a data-focused engineering and analytics team. The role translates analytics priorities into execution, partnering across SM S&T, Digital Manufacturing, and IT to deliver measurable business value.

The candidate will drive data pipelines, data quality, and accessibility from source systems to analytical platforms, enabling scientists and engineers to use data for process

Qualifications

• BS in Engineering, Pharmaceutical Sciences, Data Science, IT, CS or related with 10 years’ experience (MS with 8).
• Leadership in pharmaceutical manufacturing/technical operations and data engineering or data science.
• Strong understanding of unit operations across Drug Substance, Drug Product, packaging, and analytical.
• Expertise in manufacturing data systems, process monitoring, and analytics technologies.
• Ability to influence across matrix organizations and drive accountability for results.
• Travel to manufacturing sites will be required, ~10% of time.

Responsibilities

• Drive execution of data and analytics priorities across SM S&T with measurable business impact.
• Translate data/analytics strategy into practical plans with milestones and value metrics.
• Partner with SM S&T leadership and IT to align priorities and remove barriers.

Skills

Advanced Analytics

Data Engineering

Data Visualization

Data Management

Process Monitoring

Education

BS in Engineering/Pharmaceutical Sciences/Data Science/CS

MS degree (preferred)

Tools

DataLynx

SEEQ

MPI

MES

Historians

Job description

Merck Sharp & Dohme seeks a Director of Data Engineering and Analytics within Small Molecule Science & Technology to lead a data-focused engineering and analytics team. The role translates analytics priorities into execution, partnering across SM S&T, Digital Manufacturing, and IT to deliver measurable business value.

The candidate will drive data pipelines, data quality, and accessibility from source systems to analytical platforms, enabling scientists and engineers to use data for process