Top Tech Jobs & Startup Jobs

Designs scalable data platforms, secure endpoints, ETL systems, and data integration solutions. The role optimizes data processing and performance, implements data governance and security, ensures data quality, creates analytics reports and dashboards, and collaborates with engineers, scientists, reporting teams, and business stakeholders. It also provides technical leadership and develops roadmaps for data analytics projects using cloud, machine learning, automation, and modern data architecture technologies.

Leads global commercial finance planning, long-range planning, forecasting, financial analysis, consolidations, governance, and process improvement. Partners with cross-functional and senior stakeholders to deliver actionable insights, identify risks and opportunities, and support business decisions. Manages and develops a finance team while ensuring accurate, timely, and consistent planning and reporting.

An 11-week onsite internship offering Data Engineering or Software/Application Engineering tracks. Interns may develop enterprise applications, front-end interfaces, backend services, APIs, microservices, data pipelines, databases, and data infrastructure. They will integrate data sources, support scientific or business solutions, and apply programming, analytics, visualization, generative AI, or machine learning. Candidates must pursue a relevant bachelor’s degree, graduate between December 2027 and June 2028, remain enrolled after the internship, and demonstrate technical, analytical, teamwork, and communication skills.

Leads Immunology sales forecasting, consolidation, actuals reporting, variance analysis, and financial planning submissions. Develops product volume projections, forecasting packages, and business insights using market, competitive, and commercial data. Partners with Finance, Commercial, Marketing, Pricing, and Analytics teams to explain performance drivers, support launch scenarios, and solve business issues. Enhances financial models, forecasting processes, and deliverables while communicating results to senior leadership.

Leads technology strategy and delivery across AbbVie’s Legal, Ethics and Compliance, and Corporate Affairs functions. Partners with senior business and technology leaders to develop multi-year strategies, improve processes, advance data and automation capabilities, and enable AI-ready operations. Manages senior leaders and multidisciplinary teams, budgets, organizational resources, stakeholder relationships, talent development, and strategically important technology functions.

Designs, develops, deploys, and optimizes cloud-native solutions supporting LIMS, automated laboratory testing, analytics, and quality systems. Leads software architecture, SDLC, CI/CD, testing, system troubleshooting, security, compliance, and regional cloud deployments. Evaluates emerging AI/ML technologies and integrates intelligent automation into enterprise applications. Collaborates with QA, IT, Regulatory, and business teams while ensuring GxP and data-security compliance.

Leads architecture, deployment, optimization, and troubleshooting of AWS-based quality and operations platforms, including QMS, LMS, DMS, artwork, and analytics systems. Designs scalable cloud-native solutions using APIs, microservices, containers, and CI/CD. Ensures regulated SDLC, GxP, security, and compliance requirements while evaluating AI/ML technologies and integrating intelligent automation. Partners with QA, IT, Regulatory, and business stakeholders to deliver reliable, self-service platform capabilities globally.

Leads finance analytics for clinical trial forecasting by translating complex data into insights, dashboards, forecasting tools, and scalable technology solutions. Establishes trusted data foundations, validates modeling assumptions, identifies risks, automates manual processes, supports financial-system implementation and integrations, and tests AI-enabled capabilities. Partners with Finance, Clinical Development Operations, Data, Technology, and embedded trial forecasters to improve forecasting solutions.

Lead biomarker and clinical data science analyses for Phase I–III clinical trials. Extract and analyze ADaM datasets using R and Python, generate clinical tables, listings, figures, descriptive statistics, and advanced Spotfire visualizations. Collaborate with scientists to interpret data patterns, statistical findings, and clinical insights that support real-time decisions during drug development.

Designs, develops, deploys, and optimizes cloud-native quality systems, LIMS, automated laboratory testing platforms, and analytics solutions. Leads software architecture using APIs, microservices, containers, CI/CD, and modern programming languages. Troubleshoots enterprise applications, ensures GxP and security compliance, evaluates emerging AI/ML technologies, and delivers scalable AWS-based platform solutions for quality and operations.