| Hi, I am Jaya from VedaInfo Inc., is a highly recognized provider of professional IT Consulting services in the US. Here is our open requirement which can be filled immediately. Kindly respond to this requirement with your contact info, rate and current location info to speed up the interview process.
Job Title: Jaya-Machine Learning Scientist - Durham, NC
Contract: 6+Months End Client: IQVIA Top Skills Details 1) Advanced degree , masters or PhD in computer science and proven focus in data science, AI, machine learning etc. Not accepting candidates with other degrees such as math, statistics, biology, bioengineering, etc. Candidate must also come from a top 100 ranked college, no exceptions,
2) 1+ years coding in Python. Prefer candidates with only academic or one year of experience total to be able to train them on IQVIA ways and data from scratch. Do not want more than 2 years of experience no matter what.
3) Experience in machine learning development using pytorch preferably but tensorflow is acceptable. Not considering candidates who have used Keras only as the interface is different
Qualifications:
Our ideal candidate will have:
· A MS in computer science or related areas with focus on machine learning, artificial intelligence, data mining, natural language processing, etc.
· An in-depth understanding of machine learning algorithms and modeling (supervised learning, semi-supervised or unsupervised learning including generative models, transfer learning, optimization, probabilistic graphical models, etc.)
· In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
· Experience in Python with additional experience in Java, Scala and/or R.
· Experience creating production environment data analytics and applications.
We're looking for research scientists who are passionate about developing next generation machine learning technologies that will have profound impact on medicine and healthcare. Our ambitious machine learning for medicine and healthcare research agenda include but are not limited to
· deep phenotyping integrating massive and multimodal health data
· interpretable machine learning for disease prediction, subtyping and progression
· pharmacovigilance, drug repurposing, and drug discovery from observational data using structured prediction, generative models, etc.
· knowledge representation, distillation from multiple aspects of health data
As a machine learning researcher at IQVIA's ACOE, you get to work on the most cutting-edge and exciting projects. You will have access to petabytes of data, state of the art hardware such as massive distributed clusters and GPUs, and professional support from domain experts.
Your typical activities might include:
· Implementing deep learning, machine learning, and data mining algorithms on distributed platform to solve real-world healthcare problems (e.g., disease prediction, risk prediction etc.)
· Designing new algorithms to find predictive patterns that combine heterogeneous data assets, including electronic medical records, healthcare claims, clinical trial data, and unstructured text data.
· Automating machine learning algorithms within the production environment.
· Working with technology teams to support machine-learning algorithms in big data platforms. Supporting customized projects by designing and implementing algorithms and statistical models on related datasets. Thanks, Jaya Technical Recruiter Vedainfo Inc Office: 310-929-2578. EXT: 129 Direct: 310-929-2578. W: Vedainfo.com
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