Software Engineer (Production Informatics)

Predicine; Hayward, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

401(k) matching

Stock allocation

4 weeks sabbatical after 5 years

Daily onsite lunch

Job summary

Predicine is hiring a Software Engineer for Production Informatics in Hayward, CA. You will own architecture and deliver full‑stack features across front-end, service, and API layers, integrating with enterprise data and scientific sources, while advancing AI-based tooling and guardrails.

You will collaborate with product, science, data, and IT teams to build secure, production‑grade software that improves workflow automation and data reliability in a regulated life sciences environment.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
• Master's degree or equivalent leadership/technical experience preferred.

Responsibilities

• Design, develop, and maintain software supporting production pipelines and data work.
• Enhance LIMS, backend services, databases, APIs, and front-end applications.
• Lead AI-enabled tooling, tool calls, orchestration, memory, retrieval, and guardrails.

Skills

Python

REST API

TypeScript/React

Data integration

AI tools (Cursor, ChatGPT, Claude)

Education

Bachelor's degree

Master's degree

Tools

Docker

Git

CI/CD

SQL

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Software Engineer (Production Informatics)

Full Time Professional Hayward, CA, US

Software Engineer, Production Informatics

About Predicine

Predicine is a precision oncology company advancing the fight against cancer through cutting-edge genomic technologies and liquid biopsy solutions. We partner with pharmaceutical companies, clinicians, and researchers worldwide to bring next-generation diagnostics from bench to bedside — faster, smarter, and more accessible. Join a team where your work directly impacts patient outcomes and the future of cancer care.

Job Summary

Hands-on software engineer responsible for the design, development, and reliability of Predicine's production pipeline operations and data-related applications. Owns architecture and delivery of full-stack features across front-end, service, and API layers; integrates applications with enterprise, product, and scientific data sources; and leads the adoption of AI and agentic AI capabilities — including LLM-based tooling, tool orchestration, retrieval, evaluation, and guardrails — to improve workflow automation, developer productivity, and user experience. Establishes reusable engineering standards and patterns, including for AI-assisted development, mentors other engineers, and partners directly with product, science, data, and IT stakeholders to convert ambiguous business needs into secure, well-tested, production-grade software.

What You'll Do

The Software Engineer, Production Informatics will design, develop, and maintain software solutions that support laboratory operations and production workflows. This role enhances laboratory information management systems (LIMS), backend services, databases, APIs, and user-facing applications to improve data accuracy, traceability, efficiency, and scalability. Working closely with laboratory personnel, bioinformatics scientists, data teams, quality partners, and other stakeholders, you'll translate operational requirements into reliable, secure, and compliant solutions — troubleshooting production issues, improving system performance, automating manual processes, and helping ensure informatics systems meet business and regulatory requirements.

Key Responsibilities & Time Allocation

% of Time

Responsibility

35% Application Engineering & Architecture — Own the design, development, and technical direction of key production pipeline operations and data-related applications across front-end, service, and API layers; drive productionization (resilient APIs, error handling, permissions, versioning, and deployment

20% AI & Agentic AI Application Development — Design, build, and productionize LLM-based and agentic AI features (tool calling, orchestration, retrieval, memory, evaluation, guardrails); apply AI/agentic AI tooling where it meaningfully improves workflow automation, developer productivity, or user experience.

15% Data & Systems Integration — Connect applications to enterprise, product, and scientific data sources through APIs and well-defined data contracts; implement data access, indexing, and structured-output patterns; partner with data owners on readiness, lineage, permissions, and reuse.

10% Reliability, Security & Operations — Create automated tests and quality checks (including for AI-enabled functionality); implement tracing, observability, feedback capture, and regression testing; enforce access control, audit logging, privacy controls, and secure-development practices.

10% Technical Leadership & Mentorship — Establish and evangelize reusable engineering patterns, including for AI-assisted development; lead code review and quality standards; mentor engineers on best practices.

5% Stakeholder Collaboration & Roadmap — Partner with product, science, data, and IT stakeholders to prioritize work, define delivery roadmaps, and convert ambiguous requirements into reliable software.

5% On-Call / Incident Response — Triage production incidents across the application portfolio; drive root- cause analysis and corrective action.

What You Bring

Education

Minimum

Preferred

Level Bachelor's degree Master's degree (or equivalent leadership/technical experience)

Field of Study Computer Science, Software Engineering, Data Science, or related field; equivalent practical experience considered Same fields; applied AI/machine learning coursework or focus preferred

Experience

Minimum

Preferred

Work Experience 7+ years of professional software/application development (full-stack, backend, or similar), including delivery and support of production, data-rich applications; demonstrated technical ownership and mentoring 10+ years; hands‑on experience building or integrating LLM-based or agentic AI features in a production application, ideally in life sciences, healthcare, diagnostics, or another regulated data environment

Licenses / Training Git, CI/CD, containerization (Docker), SQL, cloud deployment, automated testing, secure coding practices; willingness to complete Predicine-provided training in agentic AI/LLM development Cloud certifications (AWS/Azure); security/compliance training (HIPAA/GxP aware)

Required Skills & Qualifications

• Strong Python and REST API development (e.g., Django/DRF or equivalent)
• Working knowledge of TypeScript/modern web stacks (React)
• Data integration patterns (permissions, lineage, auditability)
• Working familiarity with AI coding/productivity tools (e.g., Cursor, ChatGPT, Claude)

Preferred Skills & Qualifications

• Demonstrated, hands‑on experience designing or building agentic AI systems (tool calling, orchestration, memory, retrieval, evaluation, guardrails)
• Experience with reusable AI platforms, workflow engines, vector/search systems, and event‑driven services

Additional Information: Experience integrating heterogeneous data sources and structured/unstructured data with clear grounding, citations, and auditability. Strong bias for automation, reproducibility, and secure, well-tested delivery. Comfortable operating with general supervision, exercising independent judgment, and mentoring less‑senior engineers.

Why Join Predicine

• Work at the forefront of precision medicine, oncology diagnostics, and liquid biopsy technology
• Competitive salary and comprehensive benefits, including medical, dental, and vision coverage
• 401(k) matching and stock allocation
• 4 weeks of paid sabbatical after 5 years of service
• Daily lunch provided for onsite employees
• Opportunities for professional growth and career development in a fast‑paced, mission‑driven biotech environment

Equal Opportunity Employer

Predicine is proud to be an Equal Opportunity Employer, committed to a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability, or any other legally protected status. Qualified applicants will also be considered regardless of criminal history, consistent with applicable law.

Compensation is based on qualifications, location, internal equity, and market data. All offers are contingent upon successful background verification. Applicants must be legally authorized to work in the USA without sponsorship.