Job ID:
Job date: 2018-02-03
End Date:
Company : General Electric Country : Role : Research Scientist
Job date: 2018-02-03
End Date:
Company : General Electric Country : Role : Research Scientist
Job Description:
This is an opportunity to join a team that is working to revolutionize healthcare. The novel work you perform on medical diagnostics and biological therapeutics will impact patient lives worldwide. You will have the opportunity to partner with some of the best and brightest on a regular basis and collaborate on the creation of new predictive models. Essential Responsibilities:In this role, you will:
Additional Info:
About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. Locations: United States; California; San Ramon GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen.[Click Here to Access the Original Job Post]
This is an opportunity to join a team that is working to revolutionize healthcare. The novel work you perform on medical diagnostics and biological therapeutics will impact patient lives worldwide. You will have the opportunity to partner with some of the best and brightest on a regular basis and collaborate on the creation of new predictive models. Essential Responsibilities:In this role, you will:
- Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions.
- Design and implement data aggregation, data cleaning and data transformation.
- Design and implement exploratory data analysis.
- Design and implement machine learning algorithms, probabilistic algorithms, statistical algorithms etc.
- Hyper parameter optimization
- Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
- Write technical reports summarizing development, analysis, training and validation of the algorithms
- Provide design input specifications, requirements, and guidance to software engineers for algorithm implementation for product development
- Collaborate with team members and external experts
- Provide presentations to the management and cross-functional teams
- Stay up-to-date in the field of machine learning and artificial intelligence. Apply new technologies in development of products
Qualifications/Requirements:
Basic Qualifications:- Ph.D. in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a minimum of 2 years applicable professional experience
- MS in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a minimum of 5 years applicable professional experience
- BS in Computer Science, Electrical Engineering, Bioinformatics or equivalent field with a great proven track record with a minimum of 8 years applicable professional experience
- Have completed graduate-level coursework in statistics
- Experimental design experience
- Technical proficiency in languages such as Python, R, C++, Java, etc.
- Experience with medical image analysis, biologics production, or bioprocesses, leveraging deep learning methodologies using GPUs
- Hands-on advanced proficiency in handling and analyzing large data sets such as medical image or bioprocess data.
- Extensive experience with neural network libraries such as Caffe, Keras, Tensorflow, Torch etc.
- Expertise in broader machine learning techniques
- Excellent written communication, verbal communication and presentation skills are required.
- Experience with big data technologies and HPC such as the Hadoop, Spark, Hive, Hbase etc.
- Experienced with the information technology aspects of data collection, organization, and integration
- Deep knowledge in optimal computational environment required for data processing, data mining and machine learning
- Software applications development experience
- A record of prior publications in the field will be helpful
Requeriments :
Skills :
- Data Mining
- HPC
- Machine Learning
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in R
- Software Design
- Statistics
Areas :
Additional Info:
About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. Locations: United States; California; San Ramon GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion of a background investigation and drug screen.[Click Here to Access the Original Job Post]