Top Tech Jobs & Startup Jobs in Boston, MA

Advise life sciences customers on scientific and laboratory informatics strategy, product roadmaps, solution architecture, system modernization, and digital transformation. Translate scientific and operational needs into scalable solutions, define value metrics, lead change management, and drive adoption. Build trusted stakeholder relationships while remaining hands-on in implementation and resolving complex challenges across connected laboratory environments.

Leads the design, development, and delivery of scalable automation solutions for laboratory and scientific workflows. Responsibilities include software architecture, Python and AWS development, APIs, microservices, data pipelines, system integrations, workflow orchestration, testing, CI/CD, production support, and regulatory compliance. The role mentors engineers, establishes reusable frameworks, manages technical delivery and dependencies, and serves as a client-facing technical lead across distributed teams.

Leads a 2026 proof-of-concept and planning initiative to migrate on-premise HPC environments to AWS. Owns integrated project delivery, stage-gate governance, risk management, workflow mapping, data migration planning, stakeholder alignment, executive communications, and funding proposals. Partners with technical, research, security, engineering, and leadership teams to define cloud architecture requirements, resolve dependencies, and prepare the program for full-scale implementation.

Provides on-site technical support for laboratory automation environments, including installation, maintenance, troubleshooting, scripting, validation, user training, and preventative maintenance. Operates and configures liquid handlers, plate readers, robotic systems, and automation software. Collaborates with scientists and engineering teams to improve research workflows, documents procedures, supports compliance programs, and manages tasks across multiple customer projects.

Provides technical support and engineering services for laboratory automation environments. Installs, operates, maintains, validates, troubleshoots, and scripts liquid handlers, plate readers, robotic systems, and related software. Develops methods, performs testing, modifies automation systems, trains users, documents procedures, and supports compliance programs. Collaborates with scientists and engineering teams to improve research workflows and implement automation technologies across client laboratory sites.

The GxP Lab Computing Analyst provides consulting and technical laboratory services, supporting IT needs and validation compliance while liaising with clients and conducting requirements management.

Implement, configure, validate, and support sample-centric LIMS solutions (e.g., LabWare, LabVantage) for regulated laboratories. Lead requirements gathering, design workflows, configure instruments/inventory, execute IQ/OQ/PQ testing, support UAT and go-live, provide post-implementation support, training, and documentation, and identify opportunities for improved compliance and efficiency.

Supports scientific platform implementations and digital transformation initiatives by gathering and validating requirements, analyzing business processes, creating user stories and project artifacts, supporting testing and validation, troubleshooting defects, and assisting with implementation, change management, and user adoption. Collaborates with consultants, developers, project managers, product owners, and life sciences customers across laboratory informatics and scientific data management projects.

Designs and operates data infrastructure for a clinical trial platform. Builds pipelines that extract, normalize, validate, and link information from clinical documents and publications into Aurora and GraphDB. Develops embeddings, vector search, RAG workflows, data-serving APIs, lineage tracking, and regulatory audit trails. The role also requires AWS-based orchestration, clinical data quality controls, biomedical knowledge graph modeling, and deployment automation using infrastructure-as-code and containerization.

Lead hands-on technical delivery for a cross-functional product engineering pod. Design and implement Angular frontends, Python APIs, and cloud-native services while guiding engineers through architecture, code reviews, testing, releases, and production troubleshooting. Translate product requirements into maintainable designs and vertical slices, establish quality and security standards, manage technical debt, and collaborate with Product, QA, BA, and DevSecOps teams. Experience in regulated life sciences, clinical technology, and standards such as CDISC or USDM is preferred.