Data Engineer or Senior Data Engineer, Research Informatics

Who we are: Kymera is a clinical-stage biotechnology company pioneering the field of targeted protein degradation (TPD) to develop medicines that address critical health problems and have the potential to dramatically improve patients’ lives. Kymera is deploying TPD to address disease targets and pathways inaccessible with conventional therapeutics. Having advanced the first degrader into the clinic for immunological diseases, Kymera is focused on building an industry-leading pipeline of oral small molecule degraders to provide a new generation of convenient, highly effective therapies for patients with these conditions. Founded in 2016, Kymera has been recognized as one of Boston’s top workplaces for the past several years. For more information about our science, pipeline and people, please visit www.kymeratx.com or follow us on X (formerly Twitter) or LinkedIn . How we work: PIONEER : We are courageous, resilient and rigorous in our mission to improve patients’ lives through our revolutionary degrader medicines. COLLABORATE : We value trust + transparency from everyone. Our goals are shared, our decisions data-driven and our camaraderie genuine. BELONG : We recognize our differences, inviting curiosity and inclusivity, so that our people are valued, seen, and heard. How you’ll make an impact: We're looking for a technically strong, execution-driven informatics data engineer to serve as the technical partner for our Research and Discovery teams. This is a hands-on role for someone who thrives under shifting priorities, moves with urgency, and brings structure to complex, fast-moving scientific environments. You'll work directly with scientists, CROs, vendors, and IT to build and maintain the data workflows, integrations, and systems that keep research moving. Serve as a technical informatics contact supporting Research teams across scientific applications, data engineering, data standardization, scientific workflows, and operational informatics activities. Support cloud-based research infrastructure and contribute to data architecture, metadata standards, and FAIR data practices Design, develop, and maintain data pipelines, automations, and integrations across research platforms and external systems Administer, configure, and troubleshoot scientific applications including CDD Vault, D360, Spotfire, Benchling, and related tools Partner directly with Biology and PSLD scientists to identify pain points and deliver scalable informatics solutions — quickly Manage and govern scientific data from internal teams, CROs, and external collaborators, ensuring quality and consistency Drive system implementations, upgrades, and vendor evaluations Create and maintain SOPs, technical documentation, and user training materials Skills and experience you’ll bring: Required Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Chemistry, Biology, or related STEM field Data Engineer: 5+ years | Senior Data Engineer: 8+ years of relevant industry experience Hands-on experience with research platforms such as CDD Vault, D360, Spotfire, and/or Benchling Strong Python, R and SQL development skills with a track record of building production-grade scientific tools and automations Strong experience with scientific data engineering, ETL workflows, APIs, and system integrations across diverse research data types including invitro assay, PK/PD, proteomics, and structural biology datasets Demonstrated track record of delivering high-quality work in a fast-paced environment, effectively managing competing priorities with urgency, strong attention to detail, consistent follow-through, organizational excellence, and adaptability to changing business needs. Proven ability to partner effectively with scientists, vendors, and CROs in a research setting Preferred AWS cloud services and cloud-native data workflows Cheminformatics or bioinformatics domain knowledge Familiarity with FAIR data principles and research data