Senior Preclinical Data Engineer

ALTEN Technology USA•Boston, MA

1d•$90,000 - $140,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

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.