Top Tech Jobs & Startup Jobs in Boston, MA

Lead systems engineering for orthopedic robotic medical devices, including requirements management, system-level risk analysis, architecture development, subsystem integration, interface management, verification and validation, sustaining engineering, and regulatory submissions. Collaborate across hardware, electrical, software, marketing, and testing teams while ensuring compliance with medical-device standards. Coach team members on systems-engineering methodologies and support product development throughout the lifecycle.

Leads the architecture and engineering evolution of J&J MedTech’s global Microsoft Dynamics marketing platform. Defines shared services, APIs, SDKs, developer frameworks, reusable AI agents, interoperability standards, observability, security, and platform operations. Partners with product, business, and AI teams to scale governed AI-driven commercialization capabilities across marketing and related commercial functions. Establishes engineering metrics, standards, and organizational capabilities while leading modernization initiatives and engineering teams in a complex, regulated enterprise environment.

Leads electrical design, integration, verification, and validation of robotic medical-device electromechanical systems. Responsibilities include PCB and circuitry design, IEC 60601 compliance, root-cause analysis, manufacturing collaboration, design-for-manufacturing, risk analysis, team leadership, and production support. The role requires advanced laboratory debugging, cross-functional coordination, and up to 25% domestic and international travel.

Develop high-performance, secure, cloud-connected medical device software for Windows and embedded targets using C#/.NET. Build concurrent services, database integrations, REST APIs, IoT connectivity, telemetry, command routing, remote diagnostics, and over-the-air updates. Ensure cybersecurity, testing, observability, CI/CD, regulatory traceability, and compliance with medical device standards. Collaborate with systems, hardware, firmware, quality, and regulatory teams while contributing to architecture, design reviews, Agile delivery, and mentoring.

Leads the development and operationalization of governed clinical and multi-omics data products for neuroscience research. Designs scalable data models, optimizes Nextflow pipelines across AWS S3, Snowflake, and TileDB, standardizes assay outputs, embeds FAIR principles and compliance, and delivers AI-ready datasets. Partners with architects, governance teams, AI/ML specialists, and data scientists while mentoring engineers and driving workflow standardization, quality, reproducibility, and pipeline optimization.

Leads the design and lifecycle management of Oncology R&D data products, including data modeling, architecture, ETL/ELT pipelines, data integration, quality controls, governance, and AI-ready datasets. Partners with scientific, clinical, data science, and IT stakeholders to translate requirements into scalable solutions across clinical, preclinical, real-world, genomic, and omics data. Supports advanced analytics, ML, and GenAI use cases while ensuring interoperability, reliability, compliance, and operational performance.

MBA interns will complete 10–12-week MedTech marketing assignments in global strategic or U.S. marketing. Responsibilities include product launches, brand strategy, pricing, promotional and training plans, forecasting, customer insight development, product positioning, market research, and cross-functional collaboration with R&D, sales, customers, and vendors. Interns will address healthcare challenges, manage complex projects, influence stakeholders, and gain exposure to senior leaders. Successful interns may be considered for the full-time Marketing Leadership Development Program.