Senior Preclinical Data Engineer

Responsibilities:

• Serve as the on-site point of contact for preclinical data management activities while operating under the direction of a remote platform team.
• Collect, map, and transform heterogeneous preclinical data, including in vitro and in vivo bench/lab-generated data, from multiple internal systems into standardized and usable formats.
• Support the development and implementation of data standards and taxonomies where no existing standards currently exist.
• Perform data quality reviews, data cleaning, validation, and accuracy checks using SQL and Python.
• Contribute to the loading of validated and standardized data into a central data lake.
• Provide functional, ticket-based user support for scientists using internal preclinical research tools.
• Troubleshoot data-loading and data-handling issues across multiple preclinical systems.
• Support functional administration activities, including:
• Access rights management
• List-of-values (LOV) management
• Functional documentation, such as methods of procedure (MOPs)
• Business needs refinement
• Support application testing and validation activities, including:
• Test case development
• Test execution
• Validation documentation
• Set up or support business intelligence (BI) extracts, dashboards, and reports.

Qualifications:

• Minimum of 5 to 6 years of experience working directly with preclinical or bench/lab-generated research data.
• Ability to work a minimum of 3 days on-site in Boston, MA.
• Strong understanding of bench science and how scientific experiments generate data, including familiarity with outputs from techniques such as chromatography and Western blotting.
• Demonstrated experience working with data that lacks established standards or formats, with the ability to create structure and standards from the ground up.
• Working proficiency in SQL and basic Python for data querying, cleaning, validation, and quality review.
• Experience providing end-user support and troubleshooting for scientific software applications or data systems.
• Ability to work independently with remote management and limited local technical support.
• Fluent in written and spoken English.

Preferred Qualifications:

• Exposure to preclinical research domains such as pharmacology, toxicology, DMPK, or omics.
• Familiarity with LIMS, ELN, or SDMS platforms.
• Knowledge of data governance concepts, including Master Data Management (MDM), FAIR principles, and ALCOA+ data integrity practices.
• Experience working as an embedded consultant or vendor within a client team.

Salary Range: $90,000 - $140,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience.