Data Management Associate

Merck is a leading company providing data-driven operations and automation support to regulated bioanalytical laboratories. The Data Management Associate will support the Regulated Bioanalytics Department by managing data flows, ensuring data integrity, and assisting with validation of computerized systems to generate high-quality regulated bioanalytical data.

Responsibilities

• Creating and documenting data flows spanning the full sample lifecycle from collection through to testing and result reporting to ensure data integrity and robustness
• Ensuring compliant data management for data-generating instruments and equipment, and their orchestrators within PDMB’s robotic work cells
• Creating use cases to leverage AI and machine vision to proactively monitor and analyze performance in PDMB’s operational dataset and gather insight on potential optimizations and working with IT to deliver compliant solutions
• Assisting with validation of computerized systems
• Graph data modeling to simplify traversing through operational and result data

Skills

• B.A./B.S. Degree in Biology, Chemistry, Bioinformatics (or related sciences), or Information Technology with at least 3 years of industry experience or an M.S. Degree with at least one year in the same, or closely related, area
• 1+ years of professional experience in data analysis, data engineering, or a related role
• SQL Experience with at least one scripting language (Python recommended; R acceptable)
• Familiarity with laboratory workflows and laboratory data structures, and hands-on working experience with laboratory platforms (LIMS, ELN) or instrument data integration
• Understanding of regulated laboratory principles (GLP/GxP, data integrity concepts such as ALCOA+)
• Strong written and verbal communication skills; ability to document processes and deliverables clearly
• Attention to detail, problem-solving mindset, and ability to work effectively on cross-functional teams
• Assay, Assay, Bioanalysis, Biochemistry, Bioinformatics, Biostatistics, Cell-Based Assays, Cell Culture Techniques, Clinical Judgment, Clinical Trials, Communication, Customer Experience Management, Data Analysis, Data Visualization, Detail-Oriented, Drug Metabolism, Ethical Compliance, GMP Documentation, Good Laboratory Practices (GLPs), Immunoassays, Immunochemistry, Information Technology (IT) Infrastructure, Laboratory Information Management System (LIMS), Ligand Binding Assay, Liquid Chromatography-Mass Spectrometry (LC-MS)
• Bioanalysis, Cell-Based Assays, Cell Cultures, Cell Culture Techniques, Clinical Judgment, Data Analysis, Data Management, Data Visualization, Detail-Oriented, Drug Metabolism, Ethical Compliance, GMP Documentation, Good Laboratory Practices (GLPs), Immunoassays, Immunochemistry, Laboratory Information Management System (LIMS), Ligand Binding Assay, Management Process, Microsoft Office, Operations Management, Pharmacokinetics, Scripting Languages, Structured Query Language (SQL)
• Exposure to machine-learning or computer-vision tools, and experience with prototyping models
• Experience or interest in graph data modeling and familiarity with graph databases (Neo4j, Amazon Neptune)

Benefits

• Medical
• Dental
• Vision healthcare
• Other insurance benefits (for employee and family)
• Retirement benefits, including 401(k)
• Paid holidays
• Vacation
• Compassionate and sick days

Company Overview