Sr Algorithm and Data Science Engineer

Job Title: Sr Algorithm and Data Science Engineer Location: 2901 Harbor Bay Parkway, Alameda, CA 94502 Duration: 3 Months Work Arrangement: 100% Onsite Pay Range: $64 - $68 per hour (W2) We are seeking a “Sr Algorithm and Data Science Engineer” to join one of our leading healthcare clients. Position Summary The Sr. Algorithm and Data Science Engineer is responsible for developing scalable tools that support the design, evaluation, and deployment of decision-support algorithms for next-generation biosensor platforms. This role focuses on building automation pipelines, interactive visualization tools, and reusable frameworks that enhance algorithm development workflows and improve operational efficiency. The ideal candidate is hands-on, analytical, and comfortable working across cross-functional teams to deliver robust, scalable tooling solutions. Required Qualifications Experience: • 1–3 years of professional experience Education: • Bachelor’s degree in Engineering, Computer Science, Biomedical Engineering, or a related technical field Technical Skills • Proficiency in Python for scripting, automation, and data manipulation (pandas, NumPy, or similar libraries) • Experience building data visualizations using Matplotlib, Plotly, Streamlit, or equivalent tools • Familiarity with version control systems (Git/GitHub) and collaborative development workflows • Experience working with tabular and time-series data formats (CSV, JSON, structured sensor data) • Hands-on experience integrating generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude, or similar) into development workflows as productivity accelerators • Strong problem-solving skills with the ability to independently scope, design, and deliver end-to-end solutions Key Responsibilities • Develop and maintain automation scripts and data pipelines to accelerate the design, testing, and deployment of decision-support algorithms for continuous physiological sensor platforms (e.g., CGMs) • Build interactive visualization tools to support algorithm performance analysis, trend qualification, alert concordance, and clinical feasibility reviews • Design and implement Design of Experiments (DOE) matrices to evaluate algorithm parameter spaces, threshold configurations, and edge-case scenarios • Leverage enterprise AI tools and AI sandboxes (e.g., Copilot, Claude, internal LLM platforms) to prototype, iterate, and scale internal tooling • Create reusable toolkits and templates that enable algorithm developers and clinical scientists to run analyses, generate reports, and compare algorithm variants efficiently • Support data wrangling and transformation workflows by converting raw sensor data exports into structured inputs for algorithm evaluation • Collaborate cross-functionally with data scientists, statisticians, and regulatory/quality teams to deliver fit-for-purpose solutions • Document tools, workflows, and standard operating procedures to ensure reproducibility and team adoption • Identify opportunities to reduce manual effort, improve turnaround time, and enhance rigor in algorithm development workflows We are looking for the candidate who are eligible to work with any employers without sponsorship . If you’re interested, please click “Apply” button.