Top Healthtech Jobs in Boston, MA

Designs and oversees cloud integrations, automations, demos, and proof-of-concepts for enterprise biotech customers using Benchling’s developer platform. Partners with customer IT and development teams to understand scientific informatics environments, scope requirements, manage technical risks, and deliver scalable solutions. Collaborates with product, engineering, and implementation teams on roadmaps, rollouts, documentation, and product gaps. Requires strong life sciences or technical expertise, consulting experience, Python and REST API skills, and clear communication.

Develop scalable backend applications, services, and APIs using Java and AWS. Support Chewy and SmartPak platform integration across e-commerce, catalog, fulfillment, and customer experiences. Contribute to architecture, modernization, distributed-system troubleshooting, code reviews, testing, DevOps practices, and technical decisions while collaborating across engineering, product, and business teams.

Rotational early-career Quality Engineers develop and maintain automated tests, CI pipelines, and validation strategies for complex distributed software systems. Participants rotate across product teams, investigate bugs and regressions, perform performance and security testing, and apply debugging and system-level analysis. The program includes onboarding, mentorship, and potential transition into a permanent role focused on test automation, performance engineering, or security testing.

Early-career software engineers rotate across two InterSystems product teams after onboarding, contributing to front-end, back-end, or full-stack projects. Responsibilities include learning technologies and development practices, working on real codebases, collaborating cross-functionally, and applying software engineering fundamentals. Participants receive mentorship and may transition into a long-term software development role based on performance, interests, fit, and business needs.

Leads the Managed Services analytics roadmap, KPI governance, Power BI dashboard strategy, reporting automation, and AI-augmented metrics services on InterSystems IRIS. Provides technical leadership in SQL, ObjectScript, APIs, data models, interoperability, query optimization, and application performance. Establishes data-quality and reporting standards, develops predictive analytics, mentors analysts and engineers, investigates complex issues, and advises senior leadership on operational performance, risks, and investment priorities.

Support client-facing teams in analyzing business problems, translating requirements into technical designs, and implementing technology solutions. Responsibilities include developing technical features with SQL and Python, applying agile and testing methodologies, interpreting business requirements, supporting project implementation plans, and collaborating with internal and client teams. The role requires strong analytical, communication, and problem-solving skills, with exposure to cloud platforms and big data concepts.

Supports consulting project teams by researching markets, developing analyses, applying problem-solving frameworks, synthesizing insights, communicating findings, and collaborating with clients to implement solutions. The intern owns assigned deliverables and may support change initiatives and client decision-making. Strong performance may lead to a full-time offer.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Build and improve end-to-end web and mobile product features for MedTech sales teams. Collaborate with customers, product managers, designers, and engineers; use data to optimize performance and identify enhancements; explore scalable technologies; contribute to engineering processes and culture; and mentor developing engineers. The role emphasizes full-stack development across multiple technologies and agentic AI development practices.

Owns the full lifecycle of learning and development programs, including needs analysis, curriculum design, delivery, stakeholder coordination, vendor management, tuition reimbursement administration, and evaluation. The role develops management and professional development initiatives, facilitates learning sessions, manages program logistics, and uses data and feedback to improve outcomes. It partners with HR business partners, subject matter experts, learning designers, and external vendors to align programs with business priorities and employee development needs.

Build and operate production software for active clinical trials, including clinical-system integrations, trial data flows, site activation, monitoring, and signal detection. Design AI-native agents and pipelines with auditability, provenance tracking, and human review in regulated GxP environments. Own multi-quarter technical initiatives, collaborate with clinical, regulatory, QA, data, and infrastructure teams, mentor engineers, and improve validated software delivery workflows.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.

Owns learning operations and delivery across the company, including intake, prioritization, LMS administration, reporting, compliance, integrations, vendor management, content lifecycle, facilitation, and program measurement. Translates business needs into scalable learning solutions, partners with stakeholders and subject matter experts, and improves learner experiences through automation, system enhancements, feedback, and data-driven insights.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.