BioSpace
Overview
Research Investigator, Digital Products will support discovery and early development teams by ensuring that research data is accurate, well-documented, compliant, and usable. The role combines data governance, liaison, and technical expertise—acting as a trusted partner to scientists and business functions to surface challenges, promote best practices, and implement solutions that improve data quality and integrity.
Key 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 (ELN, LIMS, compound registration, SDMS, data catalogs); Demonstrate familiarity with internal and external data sources; Support scientific teams with implementation, configuration, and integration; Provide training, documentation, day‑to‑day guidance; Troubleshoot issues and collaborate with IT/vendors to resolve problems quickly.
Data Quality & Integrity: Monitor data quality across systems, identify root causes, 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, regulatory requirements; Support audits and inspections with accurate, well‑documented data management practices.
Qualifications
Bachelor’s or Master’s degree in Life Sciences, Information Management, Bioinformatics, or related field.
2–5 years of experience in data stewardship, data management, or research informatics in pharma/biotech.
Technical experience with research systems (ELN, LIMS, compound registration, or related platforms, specifically Benchling & TetraScience products).
Ability to quickly learn new informatics tools and help others adopt them effectively.
Strong communication skills to work across scientific, business, and IT teams.
Preferred Skills
Experience supporting data systems implementations or upgrades in research environments.
Familiarity with APIs, data integration workflows, or scripting for data extraction/transformation (Python, SQL, R).
Knowledge of ontologies, controlled vocabularies, GUPRI, and scientific data modeling.
Experience with change management or process improvement methodologies.
Skilled in facilitating dialogue between stakeholders with differing priorities, ensuring mutual understanding and alignment.
Ability to translate complex technical concepts into business‑relevant language and vice versa.
Compensation & Benefits Summary U.S. Base Salary Range: $99,500 – $156,420.
Eligible for short‑term and long‑term incentives, health and vision insurance, 401(k) with company match, disability coverage, life insurance, tuition reimbursement, paid volunteer time, holidays, and well‑being benefits.
Eligible for up to 80 hours of sick time and 120 hours of paid vacation for new hires.
Location Boston, MA
EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Worker Type: Employee
Worker Sub‑Type: Regular
Time Type: Full time
Job Exempt: Yes
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Key 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 (ELN, LIMS, compound registration, SDMS, data catalogs); Demonstrate familiarity with internal and external data sources; Support scientific teams with implementation, configuration, and integration; Provide training, documentation, day‑to‑day guidance; Troubleshoot issues and collaborate with IT/vendors to resolve problems quickly.
Data Quality & Integrity: Monitor data quality across systems, identify root causes, 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, regulatory requirements; Support audits and inspections with accurate, well‑documented data management practices.
Qualifications
Bachelor’s or Master’s degree in Life Sciences, Information Management, Bioinformatics, or related field.
2–5 years of experience in data stewardship, data management, or research informatics in pharma/biotech.
Technical experience with research systems (ELN, LIMS, compound registration, or related platforms, specifically Benchling & TetraScience products).
Ability to quickly learn new informatics tools and help others adopt them effectively.
Strong communication skills to work across scientific, business, and IT teams.
Preferred Skills
Experience supporting data systems implementations or upgrades in research environments.
Familiarity with APIs, data integration workflows, or scripting for data extraction/transformation (Python, SQL, R).
Knowledge of ontologies, controlled vocabularies, GUPRI, and scientific data modeling.
Experience with change management or process improvement methodologies.
Skilled in facilitating dialogue between stakeholders with differing priorities, ensuring mutual understanding and alignment.
Ability to translate complex technical concepts into business‑relevant language and vice versa.
Compensation & Benefits Summary U.S. Base Salary Range: $99,500 – $156,420.
Eligible for short‑term and long‑term incentives, health and vision insurance, 401(k) with company match, disability coverage, life insurance, tuition reimbursement, paid volunteer time, holidays, and well‑being benefits.
Eligible for up to 80 hours of sick time and 120 hours of paid vacation for new hires.
Location Boston, MA
EEO Statement Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
Worker Type: Employee
Worker Sub‑Type: Regular
Time Type: Full time
Job Exempt: Yes
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