Top Tech Jobs & Startup Jobs in Charlotte, NC

Produces end-to-end creative video content, from concept development and scriptwriting through pre-production, on-set direction, post-production oversight, and final delivery. Collaborates with editors, cinematographers, designers, talent, and cross-functional stakeholders to maintain brand and narrative integrity. Manages multiple production pipelines in a fast-paced environment, organizes assets, and supports ad hoc production tasks. Healthcare or clinical content experience is preferred. Requires remote U.S. work and travel for field productions.

The Quality Assurance Engineer designs and maintains automated end-to-end tests using Playwright, performs manual and exploratory testing, and integrates test suites into CI/CD pipelines. The role covers web and API testing, defect triage and documentation, QA process improvement, test planning, sprint ceremonies, and release readiness. The position collaborates with engineering, design, and product teams to deliver reliable, compliant software supporting clinical research operations.

Design and build conversion-focused landing pages, campaign sites, and brand experiences from concept through production front-end code. Maintain corporate and marketing websites, implement technical SEO, collaborate with design, marketing, product, engineering, and DevOps teams, and perform design QA and cross-browser testing. Manage multiple initiatives, communicate decisions, and ensure accessible, high-performance web experiences.

The Product Designer creates end-to-end digital experiences for participant-facing products and internal healthcare workflows. Responsibilities include user research, journey mapping, wireframing, prototyping, interface design, design-system contribution, accessibility, usability testing, stakeholder collaboration, and implementation support. The role partners with product, engineering, research, and operational teams to improve released experiences and manage evolving priorities in a remote environment.

Administer employee leave programs, including FMLA, ADA accommodations, workers’ compensation, and state and local leave requirements. Manage confidential records, vendor relationships, employee communications, documentation, payroll coordination, and return-to-work processes. Support emergency employee continuity, vaccination records, workplace safety matters, and benefits administration. Ensure compliance with employment and benefits laws while improving leave processes, reporting, and employee experience.

Designs, develops, and maintains scalable cloud-based data pipelines and enterprise data solutions. The role covers data ingestion, transformation, orchestration, integration, data lakes, cloud warehouses, batch and streaming processes, performance optimization, governance, and lineage. The Senior Data Engineer collaborates with analysts, data scientists, engineers, stakeholders, contractors, and vendors while mentoring junior staff. Core tools include Databricks, dbt, Azure Data Factory, SQL, Python, and Azure.

Leads the design, implementation, and optimization of enterprise infrastructure, cloud services, identity, endpoint management, and monitoring systems. Drives automation, security hardening, incident response, root-cause analysis, migrations, disaster recovery, and operational improvements. Mentors junior administrators, maintains technical documentation, manages vendor escalations, and supports cross-functional technology initiatives. Requires strong infrastructure, cloud, security, troubleshooting, scripting, observability, and IT service management expertise.

Develop statistical and machine learning models for clinical trial enrollment, patient matching, forecasting, and trial management. Monitor model performance and bias, build scalable data pipelines using AWS services and dbt, and ensure compliance with HIPAA, GDPR, and privacy standards. Collaborate with ML engineering, product, and clinical research stakeholders to integrate models into practical healthcare solutions.

Supports the global sales organization through pricing, proposal development, value analysis, contract structuring, and go-to-market strategy. Partners with sales, finance, legal, delivery, and operations teams to develop pricing models, quantify customer value, structure deals, translate proposals into contracts, and support negotiations. Builds client relationships, conducts market analysis, and creates compelling financial and value narratives for software and services opportunities.

Build and deploy scalable AI and machine learning products for clinical research, including patient recruitment, enrollment forecasting, and study feasibility. Develop ML models, LLM-powered agents, data pipelines, and MLOps infrastructure using cloud services and CI/CD automation. Collaborate with cross-functional teams to integrate AI into clinical research workflows, monitor model performance, and advance reliable, unbiased solutions that improve patient outcomes.