• Participate in developing cutting-edge machine learning and data analytic solutions in healthcare • Participate in the development, research, evaluation, and deployment of machine learning methodologies for real-time clinical decision systems, patient monitoring, and alerting solutions • Achieving long-term and ambitious product development goals while identifying intermediate milestones • Being independent problem solvers while operating in a collaborative environment

• Research and develop novel solutions for identifying security and privacy issues in mobile apps and platforms. • Develop automated static/dynamic program analysis engines. • Research and systemize emerging trends in the mobile application security landscape.

• Deliver a steady cadence of meaningful proof-of-concept implementations exploring how emerging technologies can address specific product or operational challenges. • Evaluate emerging technologies in controlled environments to determine whether they are suitable for eventual integration into the core product. • Identify opportunities that leverage modern technologies (particularly AI) to amplify what we can already do, enabling faster delivery, improved efficiency, and new product possibilities. • Share prototypes, findings, and techniques with the engineering team to encourage experimentation and adoption of useful technologies, helping catalyze innovation across the organization. • Provide periodic insight to engineering leadership on emerging technologies and their implications for product capabilities, engineering workflows, and long-term strategy.

• Bring content of scientific papers into promising, scalable ML algorithms; and translate these into high-performing and robust scientific code • Lead the ideation, benchmarking, and execution of complex datasets and ML models, ensuring seamless integration into our large-scale simulation frameworks. • Implement advanced software and hardware optimizations to maximize the efficiency of ML pipelines across distributed cloud GPU environments. • Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage.