Data Scientist – Natural Language Processing and Machine Learning

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Company: Sciome LLC

Sciome develops and deploys software solutions that leverage text-mining and natural language processing methodologies to identify, extract and integrate key scientific data and concepts from scientific publications in support of a variety of literature-driven research efforts, primarily in the domains of health and environmental science. The successful candidate will work as part of a diverse team, using their natural language processing and machine learning expertise to research, develop and integrate state-of-the-art text processing methods into our tools and analysis pipelines. In addition, the candidate will have a unique chance to work with leading scientists having wide ranging perspectives on scientific issues and to progress his/her career in a growing organization.

This is a great time to join our growing team. This position promises an impactful career in a fun and relaxed work environment. Detailed position description with technical details is provided below:

Education Masters or PhD in Computer Science, Natural Language Processing, Computational Linguistics, Statistics, Bioinformatics or related discipline. Desired Skillset The ideal candidate will have experience in several of the following areas:

Development and implementation of novel methods for data extraction from free text data, including named entity recognition, relation extraction, part of speech tagging, etc. Experience coding and debugging deep learning neural networks for text and image processing in PyTorch, Keras and/or TensorFlow. Development and implementation of methods for topic modeling, document clustering and text summarization. Development and implementation of methods for unsupervised identification of keywords and for detection of word similarity: latent semantic indexing, brown clustering, word2vec, etc. Design and coding of algorithms that can enable researchers to identify, categorize, prioritize and process large volumes of free-text scientific literature. Development and implementation of methods for image classification, image segmentation and object identification. Experience with supervised, unsupervised and semi-supervised machine learning methods. Experience with the key open source software resources in these domains. Software coding experience in multiple languages is preferred. Strong communication and writing skills in English are essential. The ideal candidate will have a proven track record of scientific publication in the fields of machine learning, deep learning, and/or natural language processing. Must be eligible to work in the U.S. How to apply Send your detailed CV via email to jobs@sciome.com. Refer to position title Data Scientist – NLP and Machine Learning Provide your contact information and a good time to reach you via phone

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