The Data Engineer supports data infrastructure and analytics in a healthcare IT environment. You’ll help deliver reliable, scalable data solutions that drive critical business insights and operational decision-making in a long-term contract role with a 100% remote work option, a friendly and professional team environment, and a strong focus on work-life balance.
Job listings
As a Senior Data Scientist, you’ll play a pivotal role in shaping how data is used to drive growth, improve product performance, and deliver intelligent features. You’ll collaborate with cross-functional teams to design models, uncover insights, and scale analytics across the business. This role suits someone who thrives in fast-paced environments and loves solving complex problems.
We're looking for a talented Data Scientist who is great at both analyzing data and writing strong Python code. You'll play a key role in finding important insights in large datasets, creating engaging data charts, and also helping to build and improve the core Python tools and libraries. The data science team uses it every day. You'll work closely with experienced data scientists, helping them understand complex data, share findings clearly, and make the analytical codebase even better.
As part of a world-class AI team, you'll help build advanced ML models and research systems that power next-generation pharma analytics. Design and prototype machine learning models and neural ODEs for complex biomedical datasets. Optimize model performance and manage large-scale data pipelines. Apply statistical methods (MLE, bootstrapping) and nonlinear optimization (e.g., CPLEX).
Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation.