Takeda
Research Investigator, Digital Products
We are seeking a Research Investigator, Digital Products to support discovery and early development teams by ensuring that research data is accurate, well‑documented, compliant, and usable. This 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. 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.
Key Responsibilities
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.
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.
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.
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.
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
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 (e.g., 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 and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
U.S. Base Salary Range: $99,500.00 – $156,420.00
U.S. based employees may be eligible for short‑term and/or long‑term incentives, medical, dental, vision, 401(k) with match, disability coverage, life insurance, tuition reimbursement, volunteer time off, holidays, well‑being benefits, 80 hours sick time, and 120 hours paid vacation.
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.
Location: Boston, MA
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Key Responsibilities
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.
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.
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.
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.
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
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 (e.g., 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 and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
U.S. Base Salary Range: $99,500.00 – $156,420.00
U.S. based employees may be eligible for short‑term and/or long‑term incentives, medical, dental, vision, 401(k) with match, disability coverage, life insurance, tuition reimbursement, volunteer time off, holidays, well‑being benefits, 80 hours sick time, and 120 hours paid vacation.
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.
Location: Boston, MA
#J-18808-Ljbffr