Job Information
ManpowerGroup Sr Algorithm and Data Science Engineer in Alameda, California
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.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.