Technical Lead - Technology R&D

About Signant HealthAt 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 RoleAs a Technical Lead embedded within Signant Health's R&D group, you will be a hands-on architect and builder — not a manager from the sidelines. You will lead sprint development, guide build teams through complex technical challenges, and serve as the go-to engineering expert on the team. R&D at Signant is actively moving toward coding leaders on build teams, and this role reflects that direction. You will also interface directly with business stakeholders to translate requirements into architecture and deliverables.A core focus of the entire R&D organization right now is AI agentic development — using AI-assisted and autonomous coding workflows to accelerate delivery. Candidates who bring experience in this space will stand out.What you will doLead sprint development and coordinate work streams across teams as the embedded technical expert — this is a hands-on engineering role, not a management-only position Design and develop high-level technical architectures for both streaming and batch processing systems, with a focus on scalability and efficiency Build reusable components, frameworks, and libraries that empower analytical data products and accelerate development velocity Conduct proof-of-concepts (POCs) on emerging technologies and architectural patterns to keep the team ahead of industry trends Collaborate directly with business and technology stakeholders to translate requirements into product features aligned with strategic goals Lead implementation of new data management initiatives and restructure existing data architectures for improved performance Develop complex automated workflows using advanced scheduling tools Proactively identify and resolve data quality and reliability issues before they become operational problems Clean, prepare, and optimize large-scale datasets for ingestion and consumption across platforms Conduct collaborative reviews of designs, code, test plans, and dataset implementations to uphold data engineering standards Analyze and profile data to inform scalable, high-performance solution design Partner closely with product management to break down business requirements into actionable epics and deliverablesPreferred QualificationsBachelor's degree in a relevant field, or equivalent professional experience Strong problem-solving skills with good judgment on when to escalate Collaborative by nature — shares knowledge openly and lifts the team Composed under pressure with the ability to manage multiple workstreams simultaneously Exceptional attention to detail and commitment to high-quality outputProactive, team-oriented, and energized by building things that matterHands-on experience integrating AI tools and agentic coding workflows throughout the SDLC Proven track record leading development efforts from initial scoping through product deliveryStrong experience with AWS or Azure cloud platforms for enterprise-scale data strategies Experience designing, building, and maintaining a serverless central data platform (Snowflake, Redshift, BigQuery, Azure Synapse, or equivalent) Expertise in serverless infrastructure design on cloud platforms Advanced skills working with large datasets for ETL/ELT pipelines CI/CD-first mindset with experience building automated deployment pipelinesDesirable:Snowflake for cloud data warehousing Agentic development and conversational BI tooling Exposure to clinical or healthcare data environments Kafka or similar tools for real-time data streamingWhy Signant Health?At Signant Health, your work has real impact. Everything we build, support, and deliver helps advance clinical research and bring new treatments to patients faster — improving lives around the world. Our teams combine science, technology, and operational expertise to solve complex clinical trial challenges, and every role contributes to that mission.We offer a collaborative, global environment where you can grow your career while working alongside experts across clinical, technology, data, and operations, with opportunities to learn, take ownership, and drive meaningful innovation — not just maintain the status quo.If you are looking for purpose-driven work, smart colleagues, and the opportunity to help shape the future of clinical research and digital health, Signant Health is the place to do it.At Signant Health, accepting difference isn't enough — we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients, and our community. We are proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Prior to their start date, all candidates are required to be verified through a thorough background check and identity verification to confirm eligibility for employment.JobFamilyTechnology R&DJobFunctionAID-IT DevelopmentPayTypeSalaryEmploymentIndicatorRegular