Software Engineer

Posted 2 Days Ago
75039, Irving, TX, USA
In-Office
Junior
Artificial Intelligence • Healthtech • Biotech
Where Molecular Science Meets Artificial Intelligence – Revolutionizing Cancer Care.
The Role
Designs, develops, tests, documents, and supports clinical software applications in a regulated production environment. Responsibilities include full SDLC delivery, code reviews, automated testing, architecture participation, observability, incident response, root-cause analysis, operational automation, and compliance documentation. The engineer works with product management and uses AI-assisted development tools while supporting FDA and SOX-controlled systems.
Summary Generated by Built In

At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives.

 

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: “What would I do if this patient were my mom?” That question drives everything we do.

 

But our mission doesn’t stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose.

 

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

Position Summary

Caris Life Sciences serves hundreds of thousands of molecular cases a year and continues to grow at double-digit rates. Its molecular, imaging, and clinical-outcomes data support software that helps ensure a cancer patient's report is right, complete, and on time.

The Software Engineer - Clinical Software Products designs, implements, tests, and supports features across Caris's clinical application portfolio, owning well-scoped work end to end within the team's engineering and compliance standards. Assignments span product delivery, reliability, and incremental modernization of the production systems behind regulated clinical workflows: live cases move through them every day, and a patient is waiting on each one.

The engineering environment supports advanced AI coding assistants and agentic workflows across design, implementation, and test generation. Characterization tests and golden-master replay validation carry the burden of proof: they pin current behavior as executable, repeatable evidence. Onboarding is harness-first, so an engineer's first work is building or extending that evidence around the systems they will change.

Delivery runs on CI/CD, automated testing, application-level observability, and risk-based release governance aligned with current FDA Computer Software Assurance guidance: compliance moves at the pace of delivery. Representative technologies across the portfolio include Java, TypeScript, browser-based application frameworks, server-side JavaScript, and selected enterprise Java components. The specific assignment and technology stack are discussed during the interview process.

This individual-contributor role reports to an Engineering Manager or Senior Engineering Manager within Clinical Software Engineering. The engineer builds and maintains clinical software applications subject to SOX financial controls and FDA regulatory requirements. Design participation and scope of ownership grow with demonstrated experience.

Location: Irving, Texas (Dallas–Fort Worth), on-site/hybrid, minimum three days per week on campus; co-located with Caris's laboratory and clinical operations.

Job Responsibilities

  • Design, implement, and maintain features and components across assigned clinical software applications. Write well-structured, testable, and documented code suited to a regulated production environment.
  • Deliver well-scoped work independently, from requirement refinement through release, raising risks and trade-offs early.
  • Contribute options and trade-offs in design and architecture discussions for assigned areas.
  • Give and receive peer code reviews, uphold code-quality standards, and surface issues that could affect correctness, performance, or compliance.
  • Partner with product management to refine requirements, identify technical constraints, and estimate backlog items.
  • Write and maintain automated unit, integration, and end-to-end tests as a first-class engineering responsibility.
  • Write the technical documentation the work requires: design notes, architecture decision records, and operational runbooks that meet SOX and FDA change-control obligations.
  • Instrument, monitor, and support production systems; participate in incident response and root-cause analysis with the team.
  • Automate the recurring engineering and operational tasks that surface in delivery work: a repeated manual step is a candidate for scripted, reviewed automation.
  • Support newer engineers through code review and knowledge sharing as experience grows.
  • Work AI-first: use AI coding assistants and agentic workflows as daily practice across design, implementation, and test generation, with peer and engineering review as the quality gate.

Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 2+ years of professional software engineering experience building and maintaining production software systems.
  • Experience across the full SDLC in a team environment: requirements refinement, design, implementation, testing, and release.
  • Automated tests written and maintained for production software.
  • Peer code review as routine practice, applying engineering standards to shared codebases.
  • Regular use of modern AI-assisted development tooling in day-to-day engineering work.

Preferred Qualifications

  • Background in healthcare, clinical laboratory, diagnostics, or life sciences software environments.
  • Familiarity with agile delivery frameworks and associated tooling.
  • Cloud-native application development and deployment patterns.
  • Strong analytical and problem-solving skills applied to production systems.
  • Time in environments governed by FDA requirements, SOX controls, CLIA, or HIPAA: preferred here, not required.

Physical Demands

  • Ability to sit, stand, and work at a computer for extended periods.

Training

  • All job-specific, safety, and compliance training is assigned based on the job functions associated with this employee.

Other

  • This role may require periodic travel to other Caris sites or partner locations. After-hours response to emergency production issues and participation in periodic scheduled on-call rotations may be required.

Conditions of Employment:  Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.

This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

 

Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 2+ years of professional software engineering experience building and maintaining production software systems.
  • Experience across the full software development life cycle in a team environment, including requirements refinement, design, implementation, testing, and release.
  • Experience writing and maintaining automated tests for production software.
  • Routine peer code review experience applying engineering standards to shared codebases.
  • Regular use of modern AI-assisted development tooling in day-to-day engineering work.
  • Background in healthcare, clinical laboratory, diagnostics, or life sciences software environments.
  • Familiarity with agile delivery frameworks and associated tooling.
  • Cloud-native application development and deployment experience.
  • Strong analytical and problem-solving skills applied to production systems.
  • Experience in environments governed by FDA requirements, SOX controls, CLIA, or HIPAA.

Caris Life Sciences Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Caris Life Sciences and has not been reviewed or approved by Caris Life Sciences.

  • Fair & Transparent Compensation Pay is considered competitive or fair across many roles and locations. Shift differentials and overtime opportunities in certain lab roles can further boost take‑home pay.
  • Healthcare Strength Medical coverage is described as strong, with the employer covering the majority of premiums and health insurance frequently cited positively. Day‑one eligibility and company‑paid short‑ and long‑term disability reinforce core health protections.
  • Retirement Support A 401(k) with immediate vesting and a defined employer match supports long‑term savings. Plan details are presented clearly in benefits materials.

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The Company
HQ: Irving, TX
1,700 Employees
Year Founded: 2008

What We Do

Caris Life Sciences was founded in 2008 with a simple but powerful purpose – to help improve the lives of as many people as possible. With transformative technologies informed by massive amounts of big data, we are revolutionizing healthcare to provide physicians and patients with the highest quality information about their disease – from detecting it early and determining how best to treat it, to developing the next wave of novel therapies.

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