Associate/Consultant Engineer

๐Ÿข Rancho BioSciences ยท all Rancho BioSciences jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 69,416.67 - 101,325 / annual
๐Ÿ“… Posted 2026-08-22 ยท via Himalayas
๐Ÿท Engineering,Software-Engineer,Data-Engineering,Technical-Consulting,Consulting-Engineer,Associate-Engineer,Engineering-Associate,Associate-Consultant,Associate-Technical-Consultant
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About Rancho BioSciences

Who We Are

Rancho BioSciences is a globally recognized leader in providing advanced services and products across data curation, governance, bioinformatics, and analytics . Our expertise includes project execution, process improvement, and business analysis, all delivered with a steadfast commitment to innovation and quality.

We collaborate with research foundations, biotech companies, government labs, and academic institutions to enable breakthroughs in drug discovery, biomedical research, and precision medicine .

Our mission is to bridge science and healthcare, helping to transform data into actionable insights that drive new discoveries and improve patient care across the globe.

As a rapidly growing global team, we are excited to expand and welcome talented individuals to help us shape the future of data to drive outcomes for our clients.

Join Our Team at Rancho BioSciences !

As we continue to grow, Rancho BioSciences is seeking an experienced and dynamic Associate or Consultant Engineer to join our team. This role is critical in driving results across a project, ensuring successful execution, strategic alignment, and effective team collaboration. The Engineer will drive engagements in data-related and technology-driven projects with a focus on development while maintaining strong client engagement.

What You'll Do

Key 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

What We're Looking For

Must-Haves:

- 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 โ€“ 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

Nice-to-Haves:

- 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 automa

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