Abbott Senior Algorithm Engineer in Santa Clara, California
At Abbott, we're committed to helping people live their best possible life through the power of health. For more than 125 years, we've brought new products and technologies to the world -- in nutrition, diagnostics, medical devices and branded generic pharmaceuticals -- that create more possibilities for more people at all stages of life. Today, 99,000 of us are working to help people live not just longer, but better, in the more than 150 countries we serve.
Our brand-new hematology offering, the Alinity h-series, integrates hematology workflow, from high-throughput Complete Blood Count (CBC) analysis to automated slide making and staining. With a bi-directional, internal conveyor and a throughput of 250 CBCs per hour, it delivers high performance in one of the most compact footprints available.
The Alinity hq analyzer delivers a CBC with an expanded 6-part White Blood Cell (WBC) differential that includes routine and several advanced parameters using Advanced MAPSS (Multi Angle Polarized Scatter Separation) technology. With the Alinity hs slide maker stainer and the integrated robotic sample management, the Alinity h-series of systems delivers unprecedented uniformity, flexibility, operational productivity and confidence to our customers.
We are looking for a Senior Algorithm Engineer to develop the algorithms to deliver best in industry results from our new hematology platform. The Senior Algorithm Engineer will analyze current results, compare them to ground truth and define areas for the algorithm to improve. Then she/he will prototype new algorithms, demonstrate improved results and implement the new algorithm into the product code.
Analyze data from the Alinity instrument and compare results to ground truth
Design and develop data analysis tools to automate the results comparison
Develop new algorithms for blood cell classification using machine learning techniques and clustering
Define upcoming product features as part of the core team
Bachelor’s degree in an Engineering or closely related discipline with five or more years’ progressive work experience. Exceptions to the degree requirement at this level require approval of the appropriate level of Senior Management. Four to six years’ progressive work experience.
The ideal candidate should have experience with classification algorithms
Experience with SVMs, neural networks, k-means clustering, EM models is helpful
A plus is good knowledge of statistics, hypothesis testing as well as probability
Should be familiar with data analysis. Linear regression, correlation, outliers
Good programming skills are required; capable of implementing algorithms in C++ Algorithm prototyping in R, Matlab or Python is expected
Interest in medicine/biology of blood
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call 224-667-4913 or email email@example.com