Senior Software Engineer - Technology R&D

About Signant Health
At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands-on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency.

Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more efficient, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across more than 90 countries and have contributed to hundreds of new drug approvals.

If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health — including the opportunity to work with cutting-edge AI technologies — you will find purpose and opportunity at Signant Health.

About the Role:
Performs solution design, systems analysis, and programming activities which may require some research. Performs bug verification, release testing and support for assigned products.

KEY ACCOUNTABILITIES - Function

As part of our team, your main responsibilities will be to:

Perform design, implementation and maintenance of product modules/sub-systems according to architecture, guidelines and good software engineering practice — leveraging AI-assisted coding tools (e.g. Claude Code, GitHub Copilot) to accelerate development while maintaining code quality and architectural integrity;
Take responsibility for product's usability by creating user interfaces, creating use cases, and implementing prototypes and conducting usability tests, using AI tools to rapidly prototype and iterate on UI concepts;
Prepare technical documentation of product, create user interface guidelines and conduct reviews, using AI tools to draft, structure, and maintain documentation efficiently;
Produce design documentation that complies with regulations;
Take responsibility for unit testing and integration testing for sprint coding, including use of AI-assisted test generation to improve coverage and catch edge cases;
Perform bug verification, release testing and support for assigned products; research problems discovered by Validation or Product Support and develop solutions, using AI tools to speed up root-cause analysis and debugging;
Research and understand marketing requirements for a product, including target environment, performance criteria and competitive issues;
Evaluate and champion good practices for integrating AI tools into the team's development workflow, sharing techniques and prompting strategies with colleagues;
Other responsibilities will be assigned as required.

KNOWLEDGE, SKILLS & ATTRIBUTES

Essential:

M.Sc/B.Sc Degree in Computer Science, Engineering or Information Systems;
5+ years of software development experience;
Fluency in English, both written and verbal;
Demonstrated hands-on experience using AI coding assistants (e.g. GitHub Copilot, Cursor, Claude Code, or similar) in a professional development workflow — able to speak to how AI tools have improved your productivity, code quality, or problem-solving;
Strong prompt-engineering instincts: ability to break down complex tasks for AI tools, critically evaluate AI-generated output, and know when NOT to trust it;
APIs: REST, GraphQL;
DB: RDBMS (SQL Server/Oracle/PostgreSQL) and Non-RDBMS (MongoDB);
Monitoring: Dynatrace or similar;
Virtualization/Cloud: Docker, OpenShift/K8s;
Secrets Management (AWS Secrets Manager/Azure KeyVault/HashiCorp Vault);
Architecture: Microservices;
Specific programming knowledge (one or more):

Backend Java: Java (Spring), Java EE, JUnit (or similar but willing to code in Java/Kotlin);
Python (AWS Python Powertools a nice to have);
AWS (serverless/Lambda/DynamoDB/SQS);
Terraform/CloudFormation;

Build tools: Maven.

Desirable:

User-oriented approach to software development;
A track record of using AI tools to mentor or upskill teammates on more efficient workflows;
Must be willing to expand skills by learning other technologies as needed, including new AI-assisted tooling as it evolves;
Must be a team-oriented person with a "can do" attitude.

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