Senior Preclinical Data Engineer

<div class="content-intro"><p>We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more.</p> <p>As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing.</p> <p>When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow.</p></div><div>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, helping to establish data standards, ensure data quality, support end users, and contribute to central data management initiatives.</div> <p><strong>Responsibilities:</strong></p> <ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"> <li style="margin-top: 0; margin-bottom: 0; vertical-align: middle;"><span style="font-family: 'Segoe UI'; font-size: 10.5pt;">Serve as the on-site point of contact for preclinical data management activities while operating under the direction of a remote platform team.</span></li> <li style="margin-top: 0; margin-bottom: 0; vertical-align: middle;"><span style="font-family: 'Segoe UI'; font-size: 10.5pt;">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.</span></li> <li style="margin-top: 0; margin-bottom: 0; vertical-align: middle;"><span style="font-family: 'Segoe UI'; font-size: 10.5pt;">Support the development and implementation of data standards and taxonomies where no existing standards currently exist.</span></li> <li style="margin-top: 0; margin-bottom: 0; vertical-align: middle;"><span style="font-family: 'Segoe UI'; font-size: 10.5pt;">Perform data quality reviews, data cleaning, validation, and accuracy checks using SQL and Python.</span></li> <li style="margin-top: 0; margin-bottom: 0; vertical-a