Sr. Spclst , Data Engineering
- Increased productivity and speed to clinic/market
- Accelerated timelines for site, filing, and launch readiness
- Improved access to product and process data
- Streamlined transfer of process and product knowledge with reduced error rates
- Data Standardization and Source Integration: Define and implement data standardization rules and practices across multiple source systems . Support the extraction, transformation, and validation of process and analytical data to ensure consistency and quality before auto generation into regulatory documentation. Collaborate with source system SME's and data stewards to understand data nuances and improve data quality at the source.
- Data Model Development and Maintenance: Contribute to the creation and refinement of the data models that represent regulatory filing sections and their underlying data relationships. Assist in documenting data models, metadata, and data lineage to support transparency and traceability.- Support iterative updates to data models as new sources are connected or regulatory requirements evolve.
- Data Product Support and Evolution: Develop and maintain data products that enable auto-generation of regulatory filing content. Collaborate with product owners and technical teams to gather requirements, test new features, and trouble shoot data related issues. Support user onboarding and training related to data standards and product usage, including defining data governance requirements and expectations.-
- Cross-Functional Collaboration and Communication Work closely with regulatory authoring, IT, data strategy, and source system teams to align on data requirements and understanding integration priorities. Participate in meetings to gather feedback, report progress, and escalate issues as needed. Assist in preparing documentation, reports, and presentations related to data standardization and product status.
- Understanding of data within the CMC (Chemistry, Manufacturing, and Controls) domain, including experience in analytical testing, manufacturing processes, and laboratory development.
- Basic understanding of regulatory authoring processes and the role of data in regulatory filings, including how data supports submissions and the importance of accuracy and traceability.
- Familiarity with source systems such as LIMS, Veeva, and document formats like PDF, enabling effective data extraction, validation, and integration.
- Experience in data standardization, modeling, and semantic ontologies to define standards, maintain data models, and enhance data interoperability.
- Strong analytical skills with attention to detail and accuracy in data handling.
- Understanding of master data management and manufacturing ontologies to support consistent data definitions, relationships, and governance.
- Proven success collaborating within cross-functional teams and communicating effectively with technical and business stakeholders to align on data requirements and project goals.
- Preferred direct experience in the development and commercialization of processes and analytical methods.
- Data engineering and experience with extract, transform, load tools and scripting techniques.
- Advanced knowledge of regulatory frameworks and insight to electronic submission standards (eCTD etc)
- Experience with data governance frameworks and data quality management tools.
- Familiarity with Agile methodologies and software development lifecycle to collaborate with IT teams.
- Exposure to PKM (Process Knowledge Management) and Signals is an advantage and knowledge in automation technologies.
- Bachelor's of Science in a related discipline (e.g., Chemistry, Chemical Engineering, Pharmaceutical Sciences, Data Analytics, Information Systems), with a minimum 4 years of experience
- Master's degree in a related discipline (e.g., Chemistry, Chemical Engineering, Pharmaceutical Sciences, Data Analytics, Information Systems), with a minimum of 3 years of experience
- Ph.D in a related discipline (e.g., Chemistry, Chemical Engineering, Pharmaceutical Sciences, Data Analytics, Information Systems), with relevant academic Experience-
$114,700.00 - $180,500.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits.- Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at . You can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: -We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: -We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully-
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. -No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.- Employee Status:
Regular Relocation:
No relocation VISA Sponsorship:
No Travel Requirements:
No Travel Required Flexible Work Arrangements:
Hybrid Shift:
Not Indicated Valid Driving License:
No Hazardous Material(s):
n/a Required Skills:
Agile Application Development, Agile Application Development, Agile Methodology, Business, Business Intelligence (BI), Chemical Biology, Chemical Engineering, Database Administration, Data Engineering, Data Governance, Data Lineage, Data Management, Data Modeling, Data Quality Control, Data Visualization, Data Warehouse Development, Design Applications, Digital Transformation, ICT Strategy, Information Management, IT Coordination, Regulatory Documents, Regulatory Frameworks, Social Collaboration, Software Development {+ 1 more} Preferred Skills: Job Posting End Date:
09/24/2025
*A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R363816
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