We are seeking a Senior Preclinical Data Engineer to support preclinical research and development activities across multiple global sites. This is a hands-on data role focused on managing, standardizing, and supporting highly heterogeneous preclinical bench and laboratory data from multiple internal systems. The successful candidate will operate independently within a remote team structure, helping to establish data standards, ensure data quality, support end users, and contribute to central data management initiatives.
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 - $140,000The 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.
