Data Engineer or Senior Data Engineer, Research Informatics

Benefits and culture

This onsite role in Watertown, MA offers a competitive compensation package that recognizes results and capabilities through market-based, performance-driven pay. The anticipated base salary range is $115,000 to $215,000 per year, with eligibility for an annual bonus, equity participation, and comprehensive benefits. Actual compensation is determined by the specific role level and the candidate's depth of experience.

Culture and values at Kymera emphasize a collaborative, inclusive environment designed to accelerate research and patients' outcomes:

• PIONEER: courageous, resilient, and rigorous in pursuing improved therapies.
• COLLABORATE: trust, transparency, data-driven decisions, and genuine teamwork.
• BELONG: diverse perspectives are valued, curiosity is welcomed, and everyone is heard.

Responsibilities

• Serve as the 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.

Requirements

• Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Chemistry, Biology, or a 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.
• Experience with scientific data engineering, ETL workflows, APIs, and system integrations across diverse research data types including in vitro assay, PK/PD, proteomics, and structural biology datasets.
• Demonstrated ability to deliver high-quality work in a fast-paced environment, manage competing priorities with urgency, pay close attention to detail, and adapt to changing business needs.
• Proven ability to partner effectively with scientists, vendors, and CROs in a research setting.

Technologies

• CDD Vault
• D360
• Spotfire
• Benchling
• Python
• R
• SQL
• AWS