Full Stack Developer, Life Sciences Technology Solutions

Guidehouse Inc.
Washington, DC, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$102,000.0 - $170,000.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Business Analytics Applications Business Logic Application Performance Management HTML5 Microsoft Azure Cascading Style Sheets (CSS) Cloud Computing
+28 more
Continuous Integration Data Integration Data Visualization Database Applications Software Debugging Decision Support Systems Human-Computer Interaction Interoperability Python (Programming Language) Machine Learning Node.Js Software Engineering Data Streaming Systems Architecture Systems Integration TypeScript Web Application Frameworks Workflow Management Systems Enterprise Software Applications ReactJS Backend AngularJS Information Technology Real Time Data Data Management Restful APIs Docker Microservices

Job description

The Full Stack Developer, Life Sciences Technology Solutions, is responsible for designing, developing, and deploying scalable applications and platform components that support data products, analytics-enabled solutions, and digital workflows for biopharma clients. This role operates within cross-functional teams and contributes to the development of end-to-end systems that integrate data, analytics, and user interaction.

The Full Stack Developer collaborates closely with data scientists, product managers, and architects to translate complex data and business requirements into robust, production-ready applications. Success in this role is defined by the ability to build scalable, secure, and high-performing systems that enable real-time data access, workflow execution, and embedded decision support.

  • Design, develop, and deploy full-stack applications supporting data products, analytics platforms, and workflow-driven solutions.
  • Build responsive, user-centric front-end interfaces using modern frameworks (e.g., React, Angular) to enable interaction with complex data and insights.
  • Develop backend services, APIs, and microservices to support data integration, business logic, and system interoperability.
  • Integrate applications with data platforms, machine learning models, and external systems to enable seamless data flow and functionality.
  • Collaborate with data scientists and engineers to embed analytics and AI capabilities into applications and user workflows.
  • Ensure application performance, scalability, and security through modern engineering and cloud deployment practices.
  • Contribute to system architecture, technical design, and solution development across projects.
  • Develop modular, reusable components and contribute to shared platform assets and codebases.
  • Implement testing, debugging, and CI/CD practices to ensure reliability and maintainability of applications.
  • Support continuous improvement of development standards, tools, and engineering practices.

Requirements

Do you have a Bachelor’s degree?, * Bachelor’s degree in computer science, Software Engineering, or a related field.

  • 6+ years of experience in full stack or front-end-focused development.
  • Proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or similar).
  • Experience developing backend services using Node.js, Python, or similar technologies.
  • Strong experience with RESTful APIs, system integration, and data-driven applications.
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and modern deployment practices.
  • Experience working in Agile or cross-functional product delivery teams.

What Would Be Nice To Have:

  • Experience building enterprise applications or platforms in life sciences or healthcare.
  • Strong problem-solving skills and attention to detail.
  • Familiarity with data visualization frameworks and interactive dashboards.
  • Experience integrating machine learning models or analytics outputs into applications.
  • Knowledge of healthcare data structures (claims, EMR, payer/provider hierarchies).
  • Experience with containerization (Docker) and CI/CD pipelines.
  • Prior consulting or client-facing experience.

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Tuition reimbursement
  • AD&D insurance
  • Parental leave
  • 401(k)
  • Health insurance
  • Vision insurance, The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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