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Catalytic DS: Biomedical Text Mining Developer

Help develop cloud-based text analytics solutions that enable researchers to use biomedical information locked in vast repositories of 'read only' scientific publications.

Catalytic DS Company: Catalytic DS
Location: Wilton, CT (Greater NYC Area)
Web: www.linkedin.com/company/catalytic-ds-inc


Position Type: Full-time (preferred), Part-time (possible), Onsite or Remote

Company Description
Catalytic DS Inc. is a venture capital backed start-up developing cloud-based computing solutions that enable researchers to utilize biomedical information that is otherwise locked in vast repositories of 'read only' scientific publications. Our platform delivers intuitive literature based workflow solutions, bioinformatic analyses and visualizations that scale to the individual needs of any scientist. Our mission is to make the lives of scientists better and more productive by developing powerful tools that accelerate their research and development activities.

Job Description
We are looking for a motivated, entrepreneurial and passionate individual to lead our text mining and text analytics efforts. This position will design and implement text mining/text analytics pipelines for a cloud-based biomedical informatics application. The ideal candidate will care deeply about developing and implementing software solutions that dramatically improve the way that researchers leverage scientific publications in all aspects of their daily workflow. This position will report directly to Catalytic's Head of Product and have daily interaction with founders. We care far more about what you can do (or have done) in the biomedical informatics domain than we do about a perfect CV or publication record.If you know this domain, are experienced with current approaches and meet the listed requirements below we want your application.

Catalytic offers competitive salaries, options packages, flexible vacation policies and flexible work environments.

Desired Skills and Expertise
  • MS or BS in computer science, electrical engineering, applied math, bioinformatics, data science or related area
  • Strong knowledge of Python, Java or C++ and expertise in at least one of these languages
  • Experience working in a software development team
  • Experience with current biomedical named entity recognition, relation extraction and event extraction tools
  • Experience working with biomedical ontologies, controlled vocabularies and corpora
  • Knowledge of NCBI and UniProttools and datasets
  • Knowledge of text summarization, question answering and literature based discovery approaches
  • Knowledge of pipeline frameworks(e.g.GATE, UIMA, KNIME)
  • Knowledge of biomedical domain specific search engines and architecture a plus
  • Knowledge of data mining techniques (e.g. SVM, Naive Bayes, logistic regression, etc.) a plus
  • Knowledge of Natural Language Processing a plus
  • Experience with data visualizations tools/libraries (e.g. Cytoscape, D3, Dygraphs, Processing) a plus

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