Top Tech Jobs & Startup Jobs in Boston, MA

Lead automation solutions for bioassays, ensuring compliance with regulatory standards while developing scalable systems in a laboratory environment.

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.

Conduct machine learning and data science research for RNA and LNP design. Build sequence-function and QSAR models, analyze molecular and sequence libraries, apply Bayesian optimization and active learning, and develop ML-powered systems using biological assay data. Collaborate with experimental scientists, engineers, data scientists, and software developers to support therapeutic discovery, reproducibility, and research innovation.

Provides technical leadership for QC laboratory automation, designing and deploying liquid-handling workflows, integrated workcells, sample-management systems, and data pipelines. Supports LIMS and enterprise integrations through APIs, databases, middleware, and web services. Leads troubleshooting, validation, compliance, lifecycle management, system ownership, vendor coordination, documentation, training, and continuous improvement. The role also contributes to AI/ML-enabled laboratory workflows and mentors junior engineers.

Design, develop, and support SAP solutions across ABAP, SAP BTP, Fiori/UI5, RAP/CAP and related extensibility. Build cloud-native BTP applications, integrations, and AI-enabled scenarios (SAP Joule). Troubleshoot S/4HANA/BTP issues, support delivery and production, maintain documentation, and ensure regulatory (GxP) compliance where applicable while collaborating with architects, functional teams, and stakeholders.

Design, implement, and mature API security capabilities across applications, platforms, and AI use cases. Evaluate and deploy API security tools, perform threat modeling and assessments, identify insecure API patterns, drive remediation, and advise on non-human/agentic identity, authentication, and service-to-service trust models.

Lead OT-focused incident response: triage, containment, eradication, recovery, and post-incident review across OT/ICS and IT environments. Investigate alerts, analyze logs and network traffic, coordinate cross-functional response, and apply detections, telemetry, and regulatory frameworks to balance security with operational continuity.

Lead design, administration, integration, and continuous improvement of CyberArk-based privileged access solutions across cloud and on-prem environments. Onboard privileged accounts, perform application integrations, produce architecture and operational documentation, partner with DevOps/infrastructure/security teams, drive policy and control improvements, support disaster recovery and incident response, and participate in 24x7 support when required.

Design, implement, and mature API security across applications, platforms, and AI use cases. Evaluate and operationalize API security tools, perform threat modeling and assessments, partner with engineering to remediate risks, define secure API practices, and address non-human and agentic identity models.

Lead and manage global AI-readiness and AI security programs: scope and run multi-workstream initiatives, drive governance for enterprise AI systems, partner with cross-functional teams, manage vendors, measure and mitigate risks, and enable secure, compliant rollouts (including GxP alignment) with observability, training pilots, and developer enablement.