Top Healthtech Jobs in Boston, MA

Build and operate scalable backend platforms, APIs, microservices, and event-driven integrations using Java, Spring Boot, and AWS. Responsibilities include technical design, automated testing, production troubleshooting, reliability improvements, documentation, code reviews, feature ownership, and on-call support. The role collaborates with product and engineering teams to deliver highly available services and business-critical workflows.

Leads complex, cross-functional technical programs spanning cloud operations, build and deployment platforms, code management, CI/CD, data governance, and infrastructure cost management. Translates business goals into technical plans, manages dependencies and risks, coordinates architecture discussions, establishes operational metrics, and aligns engineering, finance, platform, and executive stakeholders through multi-quarter initiatives.

Designs AI-enabled healthcare services by mapping current workflows, creating future-state service blueprints, and partnering with product, engineering, clinical, and operations teams. Facilitates Lean and kaizen events, defines operational measures and baselines, develops change-management plans, supports launches, documents repeatable service designs, and promotes safe AI adoption across care teams and markets.

The Product Designer researches patients and care teams, designs AI-enabled healthcare experiences across EHR, SMS, voice, and portal channels, and prototypes and tests solutions with real users. The role owns design systems, accessibility, AI behavior and trust patterns, post-launch measurement, and continuous improvement. It partners closely with product, engineering, clinical, service design, legal, security, privacy, and compliance teams while building enterprise-ready products and reusable methods for local market teams.

Owns AI-enabled healthcare products from discovery through deployment, measurement, adoption, and scale. Defines product strategy, roadmaps, specifications, success metrics, business cases, and governance requirements while partnering with care teams, engineering, finance, security, legal, privacy, and compliance. Builds prototypes and AI tools, measures clinical, operational, and financial outcomes, drives responsible AI adoption, and communicates decisions and results to executive stakeholders.

Leads applied machine learning and statistical research for health features using longitudinal wearable, physiological, behavioral, and multimodal data. Designs studies, models, evaluation protocols, and quality standards; partners with engineers to productionize methods; advises product, clinical, regulatory, and digital health teams; mentors scientists and engineers; and communicates evidence, limitations, risks, and trade-offs to technical and executive stakeholders.

Leads adoption of AI-assisted software development and delivery practices across engineering teams. Partners with Engineering, SQA, Product, Architecture, and DevOps to improve SDLC workflows, automation, quality, delivery predictability, and engineering productivity. Establishes AI-enabled practices involving LLMs, intelligent automation, agentic workflows, prompt engineering, and guardrails while tracking metrics such as cycle time, rework, automation coverage, and AI adoption.

Leads Takeda’s global media relations, issues management, crisis communications, reputation strategy, and external stakeholder engagement. Oversees enterprise frameworks, governance, preparedness, executive counsel, spokesperson training, media relationships, measurement, and global communications centers of excellence. Manages a distributed communications team and partners with Corporate Communications, Public Affairs, Legal, Investor Relations, and business leaders to protect and enhance the company’s reputation.

Executive leader responsible for defining Pfizer’s applied AI strategy and target architecture across commercial, data, platform, application, and workflow environments. Establishes AI standards, governance, technical decision frameworks, reusable architecture patterns, and responsible AI practices. Provides technical oversight for strategic transformation initiatives, influences senior stakeholders across a matrixed organization, and builds a team of applied AI architects and technical experts. Requires deep expertise in generative AI, agentic systems, machine learning, enterprise architecture, and regulated environments.

Build AI agents and data acquisition systems, evaluate dataset quality, define quality KPIs, and improve data processes. Partner with product teams to deploy data into customer-facing products and acquire datasets from third parties, including coordinating vendors and contracts. The role requires organizing multiple projects, structuring analyses, communicating tradeoffs, and using data to support investment decisions and customer outcomes.

Supports pharmaceutical consulting projects by analyzing quantitative and qualitative data, developing strategic insights, coordinating workstreams, managing timelines, and creating client deliverables. Collaborates with clients, internal teams, and leadership to solve ambiguous business challenges across Commercial and R&D. Contributes to strategic recommendations, project execution, internal initiatives, and team culture while applying industry trends, business acumen, and cross-functional problem-solving skills.

Administer and optimize Gainsight, Gong, and related Customer Experience systems. Build workflows, health scores, dashboards, integrations, and customer success programs supporting onboarding, renewals, and risk mitigation. Maintain data integrity, gather requirements, lead system enhancement projects, and collaborate with CX, Product, and RevOps teams. Provide training, documentation, stakeholder communication, and operational insights through KPIs and reporting.

Leads and develops an Account Management team responsible for renewals, retention, expansion, and net revenue retention across enterprise life sciences SaaS customers. The role oversees renewal forecasting, risk mitigation, customer negotiations, process optimization, cross-functional alignment, and strategic relationships with scientific, IT, procurement, and executive stakeholders. It also drives adoption of AI, automation, CRM, customer success, and analytics tools.