Rancho BioSciences is a globally recognized leader in providing advanced services and products across data curation, governance, bioinformatics, and analytics. They are seeking an experienced Associate or Consultant Engineer to drive results in data-related and technology-driven projects, ensuring successful execution and client engagement.
Responsibilities:
- Design and implement high-quality, scalable technical solutions for client and internal projects
- Translate business and/or functional requirements into sound engineering designs
- Own the delivery of well-defined technical components or workstreams with minimal supervision
- Troubleshoot and resolve complex technical issues across systems and environments
- Evaluate technical options and recommend effective solutions that balance performance, cost, and maintainability
- Collaborate directly with clients to clarify requirements and validate assumptions
- Communicate technical concepts clearly to both technical and non-technical audiences
- Contribute to client-facing deliverables, such as design documents, demos, and presentations
- Work collaboratively with architects, project managers, and other members of the consulting team to deliver integrated solutions
- Follow and help enforce engineering best practices, code quality standards, and security guidelines
- Ensure deliverables meet both client expectations and internal quality benchmarks
Requirements:
- 2+ years of engineering experience, ideally in a consulting, data, or software delivery environment
- 2+ years of experience designing and implementing production-grade solutions in a modern technology stack (Python, SQL, dbt, React, Vue, AWS/Azure/GCP)
- Strong proficiency in at least one core engineering domain (software/application, data, or cloud engineering)
- Solid understanding of software engineering principles – version control, testing, CI/CD, and documentation
- Demonstrated ability to translate requirements into clear technical specifications or architecture diagrams
- Hands on experience with system integration, APIs, or data pipelines
- Proven ability to deliver technical workstreams independently
- Excellent communication skills
- Strong collaboration and teamwork mindset within cross-functional and client-facing environments
- Commitment to producing high-quality, maintainable, and scalable solutions
- Experience working in agile or iterative project environments
- Advanced degree (PhD, MBA, or MS) in a Life Science related field
- Familiarity with emerging technologies in R&D, including AI/ML in drug discovery, real-world evidence (RWE), and digital clinical trials
- Experience with data platform design (Snowflake, Databricks, Redshift/Athena, BigQuery, etc)
- Experience or familiarity with cloud architecture patterns and infrastructure-as-code
- Experience with DevOps practices, containerization, or automation frameworks
- Understanding of data modeling, ETL/ELT, and analytics engineering principles
- Experience contributing to or leading code/design reviews
- Experience mentoring junior engineers or contributing to internal best practices and accelerators
- Demonstrated interest in continuous learning and emerging technologies