Top Tech Jobs & Startup Jobs in Boston, MA

Lead the roadmap, delivery, evaluation, validation, upgrades, and lifecycle maintenance of digital manufacturing data systems, including historians, dashboards, reporting applications, and analytics platforms. Develop software enhancements, troubleshoot root causes, assess system risks, support regulated manufacturing operations, train users, collaborate with global stakeholders, and mentor engineers. The role requires expertise in manufacturing information systems, data technologies, validation practices, and biotech or pharmaceutical environments.

Owns the design, administration, support, troubleshooting, automation, and optimization of enterprise Linux systems across on-premises and cloud environments. Responsibilities include managing hybrid infrastructure, authentication integrations, containers, storage, monitoring, patching, security hardening, documentation, implementation planning, and incident response. The role supports research and pharmaceutical production systems, participates in on-call rotation, and partners with cybersecurity teams to maintain reliable, scalable, compliant infrastructure.

Owns prioritization, definition, governance, and delivery of data products and AI use cases across Moderna’s CMC organization. Translates Quality, Manufacturing, Supply Chain, and other operational needs into production-ready, compliant data products. Defines requirements, data quality standards, ownership, access, lineage, SLAs, and acceptance criteria; manages backlogs, coordinates engineering and business stakeholders, and drives sustained operational adoption in a GxP environment.

Design, build, and operate ingestion pipelines and normalized security data products for vulnerability risk management. Transform raw evidence into model-ready features, enable ownership routing and remediation workflows, and maintain data quality, lineage, and observability. Partner with security, engineering, and platform teams to support reporting, risk models, and shift-left scanning readiness.

Supports automation, robotics, and systems engineering projects within Moderna’s Applied Technologies team. Responsibilities include configuring and testing laboratory automation systems, executing experiments, troubleshooting, analyzing performance data, developing scripts and workflows, preparing technical documentation, evaluating prototypes, and presenting findings. The intern collaborates with engineers and scientists to improve reliability, throughput, usability, and scalability of technical development workflows.

Leads the software engineering organization supporting biotechnology research and CMC Development. Establishes engineering standards, operating models, portfolio practices, and talent development programs while overseeing full-stack applications, integrations, cloud architecture, reliability, security, and scalability. Partners with Product Management, Digital functions, and scientific stakeholders to translate complex research workflows into effective digital solutions. Requires extensive software engineering and leadership experience, including substantial biotechnology or biopharmaceutical experience.

Lead cost accounting activities for manufacturing including month-end close, inventory consolidation, standard cost cycles, process order settlement, variance analysis, overhead allocations, and reporting. Act as SAP S/4HANA cost accounting SME, partner cross-functionally to resolve issues, enhance reporting (Hyperion/EPM/Smart View/Excel), support controls and audits, and drive process improvements and automation.

The Integration Lead will oversee the administration of laboratory systems, ensuring compliance and integration of systems, while conducting testing and supporting automation initiatives through coding and workflows.

The Scientist in Platform and TA Bioinformatics will design mRNA sequences, improve computational methods, handle biological datasets, and develop tools for sequence workflows.

Lead design, implementation, and administration of global compensation programs. Conduct market benchmarking, pay equity analysis, and compensation planning. Advise HRBPs and leaders on job architecture, promotions, and retention. Manage vendors, ensure compliance, build communications, and leverage analytics and AI-enabled tools to drive scalable, data-driven compensation decisions.