Top Tech Jobs & Startup Jobs

Leads global strategic initiatives, business development and licensing, and M&A integration programs. Responsibilities include project delivery, milestone tracking, stakeholder alignment, budget and timeline management, change management, methodology development, knowledge sharing, and continuous improvement. The role requires global project leadership, management consulting and business partnering experience, plus familiarity with pharmaceutical or biotech drug development and post-merger integration.

Lead business planning and analysis for country organizations: support financial planning, reporting, P&L management, budgeting, KPI and variance analysis, implement standardized reporting solutions, collaborate with BPAs/CFOs and drive decision-support to management.

Leads the robotics transformation of a pharmaceutical manufacturing site, developing strategy, programs, governance, and lifecycle management for robotics across manufacturing, laboratories, warehousing, and material handling. Evaluates and deploys AMRs, AGVs, material-handling robots, service robots, and AI-enabled solutions while ensuring GMP, validation, safety, cybersecurity, and operational compliance. Builds cross-functional capabilities, manages stakeholders and vendors, and drives productivity, quality, reliability, and operational excellence.

Design, build, and maintain scalable Python backend services and APIs for AI-driven finance solutions. Collaborate with data scientists to operationalize ML models, develop cloud-native applications, use containerization, and apply CI/CD and automated testing to ensure performance, reliability, and engineering best practices.

Provides legal counsel for pharmaceutical research and development across the UK and EMEA. Advises on clinical trials, regulatory requirements, data use, patient-focused research, emerging technologies, and AI adoption. Drafts and negotiates research, development, collaboration, and commercial agreements while supporting external innovation and asset integration. Partners with scientists and business leaders to manage legal risk, improve processes, and enable compliant innovation.

Process vendor, payroll, tax, manual, and intercompany payments accurately and on time. Review payment documentation, monitor transaction status, resolve or escalate payment issues, maintain audit records, support internal controls, collaborate with stakeholders and banking partners, and contribute to system testing and process improvements.

Lead enterprise marketing strategy for early-detection and screening initiatives across consumer platforms, partnerships, therapeutic areas, and markets. Translate strategy into scalable playbooks, activation plans, and measurable outcomes; coordinate agencies and cross-functional teams; manage budgets, governance, analytics, optimization, stakeholder relationships, and executive reporting. The role is based onsite or hybrid in East Hanover, NJ or New York City, with up to 25% travel.

Senior HPC Infrastructure Engineer responsible for deploying, operating, optimizing, and lifecycle-managing high-performance computing environments. Designs cloud-based HPC infrastructure, manages Linux systems, schedulers, clusters, filesystems, networks, and performance tuning. Serves as an escalation point for critical incidents, supports AI/ML workloads, coordinates suppliers and projects, and contributes to platform strategy. Requires extensive experience with HPC technologies, public cloud, automation, scripting, DevOps practices, and scientific or research computing environments.

Lead financial planning and analysis activities, including budgeting, forecasting, strategic planning, performance monitoring, risk and opportunity analysis, and resource allocation. Partner with leadership and cross-functional teams to deliver actionable insights, improve reporting and forecast accuracy, and standardize processes. The role also involves supporting manufacturing-related financial analysis and developing a small team.

Designs, develops, automates, and operates enterprise AI, GenAI, and MLOps platform capabilities. Responsibilities include building AWS- and Databricks-based AI services, APIs, model serving, CI/CD automation, infrastructure provisioning, observability, governance, security, compliance, lifecycle management, and operational support. The role partners with data science, engineering, architecture, security, business, and vendor teams while communicating platform strategies and resolving technical risks.