Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines.
Our 114,000 colleagues serve people in more than 160 countries.
Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life.
You’ll also have access to :
- Career development with an international company where you can grow the career you dream of.
- Free medical coverage for employees* via the Health Investment Plan (HIP) PPO
- An excellent retirement savings plan with high employer contribution
- Tuition reimbursement, the student debt program and education benefit - an affordable and convenient path to getting a bachelor’s degree.
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement.
What you’ll work on
- Oversee and implement product algorithm test and verification from Systems perspective.
- Design and develop signal processing algorithm as needed to improve product features and / or biosensor performance.
- Design, innovate and improve performance metrics from biosensor clinical data to assess sensor / system abnormality, and provide insight for product improvement opportunities.
- Support R&D product development data analysis need from multiple areas, including software, hardware, mechanics, investigation, and algorithm development, etc.
- Analyze unstructured and / or structured biological data from biosensor clinical trials and evaluate biosensors performance to support product designs.
Proactively identifies improvement opportunities for sensor product design and / or manufacturing process.
- Apply analytical and data mining techniques on large clinical dataset and conduct advanced statistical analysis such as regression, time-series forecasting, decision trees, modeling and optimization.
- Draw insights and present results in a cohesive, intuitive, and simple manner to functional stakeholder, for clinical research testing and evaluation of integrated bio-wearable sensor systems.
Required Qualification
Bachelor’s degree in Biomedical Engineering, Bioengineering or related physical or life science. Master’s or above preferred.
8+ years relevant experience and a BS degree, or 6+ years relevant experience and a MS degree, or equivalent years of education and experience in Engineering and Sciences.
MATLAB programing proficiency is required.
Preferred Qualification
Experience with biological data analysis, statistical analysis, signal processing algorithm development, and software programming.
Additional skill with software tools of Python, C / C++, JMP, and R, etc. is a plus.
Excellent written and verbal communication skills.
Knowledge of design controls and regulations for medical device development is a plus.
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