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Staff Software Engineer - Bioinformatics Algorithms & Machine Learning

Overview

Be part of something bigger at BD. Here, you’ll join a driven, agile R&D team working in a start-up-like environment that has the backing and resources of a Fortune 500 company. In R&D, you never quite know what’s around the corner, but we can tell you that you’ll be involved in a variety of innovative and exciting projects, from developing new products to finding cost savings, and everything in between. Here, you’ll use your talent and track record for delivering technical solutions to complex problems to achieve one singular goal: advancing the world of health. At BD, you can make a true difference of one.

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Success Profile

What makes a successful Engineer Professional at BD? Check out the top traits we’re looking for and see if you have the right mix.

  • Collaborative
  • Conceptual
  • Creative
  • Imaginative
  • Problem-solver
  • Team player

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A New Era in Healthcare

The complementary nature of BD and CareFusion capabilities make the new, combined company more relevant than ever before. It’s not just the solutions we offer, It’s also where we offer them. The global reach of the combined company can offer new solutions around the world.

Quote

Zakiyyah Walker, Staff Engineer, R&D Lean Processes

"As a new employee what I like most about BD are the many learning and professional developmental opportunities for growth offered. It is good to know that there are so many resources to choose from."

Michael Carrano, Sr. Program Manager, Sustaining Team Leader, R&D Project Management

"Since joining BD, I really have liked the people I work with on a daily basis and the collaboration towards common goals."

Justyna Zielinska, Project Manager, Project/Program Management

"BD is full of passionate, loyal, and driven people that have a common goal of advancing healthcare without sacrificing quality or service."

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Benefits

  • Healthcare

  • 401(k) / Retirement Plans

  • Employer Matching

  • Tuition Reimbursement

  • Professional Development

  • Maternity and Paternity Leave

  • Paid Time Off

  • Compensation

  • Awards & Recognition

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Responsibilities

Job ID R-343034 Date posted 07/12/2019

Job Description Summary

The Staff Software Engineer will join the Informatics software 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. Most of this work will be done in C++ at the core of our computing engine with additional prototyping in R, Python or other languages. This work will include machine 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. The main responsibility for the incumbent will be to bring those novel computational approaches into our production software by developing, enhancing, and sustaining software systems in a cross-functional team environment through adherence to established design control processes and good engineering practices.

Job Description

The Staff Software Engineer will join the Informatics software engineering team in Ashland, Oregon 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. Most of this work will be done in C++ at the core of our computing engine with additional prototyping in R, Python or other languages. This work will include machine 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. The main responsibility for the incumbent will be to bring those novel computational approaches into our production software by developing, enhancing, and sustaining software systems in a cross-functional team environment through adherence to established design control processes and good engineering practices.

Qualifications

  • Preferably a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related technical field, or at least a Master’s degree in one of these disciplines
  • 8 years of relevant professional experience
  • Demonstrable experience in software engineering with strong 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 and bioinformatics applications
  • 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

Primary Work Location

USA OR Ashland - FlowJo

Additional Locations

Work Shift

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