Job Description:
Team uses python and R. At least strong in one. Preferences is Python. 2. Strong analytical skills. Think through the problem and creating solutions. 3. Some programming languages – like java, c++ 4. US PERSON ONLY (Citizen & Greencard holders) Desired: 1. Life sciences / healthcare domain experience. Biology, biochemistry – not a must have but does help. 2. Master's is ok - doesn't need to be a PHD 4. Having exposure to big data – valuable Essential Responsibilities: In this role, you will:
Team uses python and R. At least strong in one. Preferences is Python. 2. Strong analytical skills. Think through the problem and creating solutions. 3. Some programming languages – like java, c++ 4. US PERSON ONLY (Citizen & Greencard holders) Desired: 1. Life sciences / healthcare domain experience. Biology, biochemistry – not a must have but does help. 2. Master's is ok - doesn't need to be a PHD 4. Having exposure to big data – valuable 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.
- Apply new technologies in development of products
- Technical Expertise:
- Have completed graduate-level coursework in statistics
- Experimental design experience
- Technical proficiency in languages such as Python, R, C++, Java, etc.·
- Experience with medical imaging analysis leveraging deep learning methodologies using GPUs· Hands-on advanced proficiency in handling and analyzing large data sets such as medical imaging 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
- Biochemistry
- Biology
- Data Mining
- HPC
- Machine Learning
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in R
- Statistics
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Additional Info:
Job Location: San Francisco Bay Area, CA[Click Here to Access the Original Job Post]