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Senior Software Engineer – Bioinformatics Algorithms Machine Learning

Ashland, Michigan Becton, Dickinson and Company

Senior Software Engineer – Bioinformatics Algorithms & Machine Learning at Becton Dickinson & CompanyAsset 1
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Senior Software Engineer – Bioinformatics Algorithms & Machine Learning

Job ID R-****** Date posted 06/06/2018

Job Description Summary

The Senior Software Engineer will work in our Bioinformatics Engineering team to research, develop, implement, adapt and integrate algorithms for computational data analysis and machine learning with our data analysis products and software solutions in the flow cytometry and single cell genomics areas.

Job Description

The Senior Software Engineer will work in our Bioinformatics Engineering team to research, develop, implement, adapt and integrate algorithms for computational data analysis, machine learning and novel visualizations with the core functionality of our data analysis products and software solutions. This work will include machine learning and deep-learning approaches to address various challenges in flow cytometry and single cell genomics areas, including normalization, automated gating and cell type classification, classification of samples based on diseases and disease states, optimization of treatments, prediction of outcomes and disease progression, and discovery of potential drug targets. Recently, relevant work has been published by several research groups. The main responsibility for the incumbent will be to bring those novel computational approaches into our production software, partially by integrating those into our computing engine and partially by designing and implementing a cloud-based computing solution.

Qualifications

Demonstrable experience in software engineering

Computer science fundamentals in algorithm design and problem-solving

Experienced programmer in C or C++

Demonstrable expertise in artificial intelligence and machine learning

Knowledge of Python, R, MATLAB, Scala or another programming language commonly used in machine learning

Strong passion, interest and quick learning abilities

Strong oral and written communication skills

Detail oriented with an initiative to drive tasks to completion

Ability to work well in a rapid-pace agile environment

Ability to work well in a group and independently with minimal supervision

Bonus Qualifications

Experience with TensorFlow, Keras or another deep-learning framework

Background in computational biology, applied mathematics or statistics

Experience with life science, flow cytometry, genomics or big data

Expertise in specialized areas such as optimization, natural language processing, reinforcement learning, probabilistic inference, information retrieval or recommendation systems

Knowledge of public bioinformatics databases and tools

Familiarity with big data technology stack (e.g., Hadoop, Spark, Hive, HDFS etc.)

Experience with AWS

Education

Bachelor’s degree required. Advanced degree preferred.

Ph.D. Computer Science, Artificial Intelligence, Machine Learning or related technical field strongly preferred.

#LI-OPS

Primary Work Location

USA OR Ashland – FlowJo

Additional Locations

Work Shift

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