Top Tech Jobs & Startup Jobs in Hartford, CT

As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.

As a Quality Assurance Specialist at Brightree, you will ensure the quality of the Billing Center by analyzing medical documentation, processing claims, conducting audits, and maintaining compliance with insurance guidelines. You will prepare and modify Standard Operating Procedures while supporting internal and external teams in identifying and escalating quality issues.

Lead the development of cutting-edge React-based web applications, collaborate with engineers and designers, integrate with backend APIs, conduct code reviews, contribute to architecture and design system, participate in support rotation, mentor team members, contribute to product strategy and feature planning, enable a culture of experimentation and improvement.

We are looking for an experienced .NET Core/C# subject matter expert to join our team for a curriculum development project. You will work remotely with a team to create technical curriculum that is highly instructive and engaging. The ideal candidate should have strong expertise in .NET Core/C# and relevant professional experience.

The Technology Solutions Manager will lead the development of the AI consulting practice, manage high-impact technical projects, implement AI solutions, establish performance metrics, provide client training, and drive strategic technology initiatives. This role requires strong project management skills and a commitment to ethical technology practices.

As a Market Development Manager, you'll lead marketing initiatives to enhance the Focused Ultrasound service line, driving growth and collaboration among internal and external stakeholders to increase market awareness and technology adoption for patients with neurological conditions.

Analyzing existing data sources, identifying anomalies/trends, creating data pipelines, graphics, and reports, evaluating business needs and objectives, enhancing data quality and reliability, and identifying opportunities for data acquisition.