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 lifecycle management
Compensation
- Kymera offers a competitive compensation package that recognizes both results and capabilities through market-based, performance-driven pay.
- The anticipated base salary range for this role is $115,000 - $215,000, with eligibility for annual bonus, equity participation, and comprehensive benefits.
- Actual salary is based on a holistic evaluation of the specific role/level as well as each candidate's depth of experience and the capabilities they bring to the position.
