Role Summary
We are seeking a Research Investigator, Digital Products to support discovery and early development teams by ensuring research data is accurate, well-documented, compliant, and usable. The role blends data governance, liaison, and technical expertise, serving as a trusted partner to scientists and business functions to surface challenges and implement solutions that improve data quality and integrity. The successful candidate will learn and support the use of research data systems, champion process improvements, and enable high-quality (FAIR) data for downstream analytics and decision-making. Location: Boston, MA.
Responsibilities
- Data Standards & Governance
- Define, maintain, and advocate for standards for experimental, assay, and compound data.
- Align local research practices with enterprise-wide governance frameworks and FAIR data principles.
- Liaison & Change Advocacy
- Engage with scientific teams to identify pain points in data capture and management.
- Drive adoption of improved processes, tools, and cultural practices for data stewardship.
- Serve as a bridge between business functions, research scientists, IT, and data governance groups.
- Technical Systems Support
- Develop working expertise in research data systems (e.g., ELN, LIMS, compound registration, SDMS, data catalogs).
- Demonstrate familiarity with both internal and external sources of data (e.g., CROs).
- Support scientific teams with implementation, configuration, and integration of these systems.
- Provide training, documentation, and day-to-day guidance for system users.
- Troubleshoot issues and collaborate with IT/vendors to resolve problems quickly.
- Data Quality & Integrity
- Monitor data quality across systems, identify root causes, and coordinate corrective actions.
- Implement best practices for metadata capture, versioning, lineage, provenance, and traceability.
- Ensure data processes support reusability for analytics, AI/ML, and regulatory submissions.
- Compliance & Risk Management
- Ensure research data handling aligns with internal policies, IP protections, and regulatory requirements.
- Support audits and inspections with accurate, well-documented data management practices.
Qualifications
- Required: Bachelor’s or Master’s degree in Life Sciences, Information Management, Bioinformatics, or related field.
- Required: 2–5 years of experience in data stewardship, data management, or research informatics in pharma/biotech.
- Required: Technical experience with research systems (ELN, LIMS, compound registration, or related platforms, specifically Benchling & TetraScience products).
- Required: Ability to quickly learn new informatics tools and help others adopt them effectively.
- Required: Strong communication skills to work across scientific, business, and IT teams.
- Preferred: Experience supporting data systems implementations or upgrades in research environments.
- Preferred: Familiarity with APIs, data integration workflows, or scripting for data extraction/transformation (e.g., Python, SQL, R).
- Preferred: Knowledge of ontologies, controlled vocabularies, Global Unique Persistent Resolvable Identifiers (GUPRI), and scientific data modeling.
- Preferred: Experience with change management or process improvement methodologies.
- Preferred: Skilled in facilitating dialogue between stakeholders with differing priorities, ensuring mutual understanding and alignment.
- Preferred: Ability to translate complex technical concepts into business-relevant language and vice versa.
Education
- Bachelor’s or Master’s degree in Life Sciences, Information Management, Bioinformatics, or related field.