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Functional and Technical Competencies

Proven development experience in some relevant implementation platforms for ML/NLP tasks – proficiency in Python (preferred), SQL, and R

Experience working with Big Data and applying advanced algorithms specifically in the Health Sciences domains

Experience using *nix systems, open source software, libraries and cloud computing

Proven experience with text normalization and processing, writing NLP, Parsers, and Spell checkers

Familiarity with ML/NLP/data science applications to some healthcare problem is a requirement.

Familiarity with supervised and unsupervised learning; model building, validation, and testing using state of art ML algorithms such as random forest, SVM, Logistic Regression, Bayesian modeling 

Familiarity with taxonomy applications across scientific and healthcare disciplines is a plus

Experience with internationalization, validation techniques, and using statistical techniques in decision making. 

Able to work with a variety of stakeholders at the mid and senior management level


Ability to drive new developments and implement process changes and disruptive technologies in the organization. 

Familiarity with agile software development. 

Good communication and documentation skills with the ability to convey complex technical concepts to non-technical professionals.

Adopts pragmatic approach when choosing and implementing the right technologies to solve a problem, and develops with success metrics 


Education, Knowledge, Skills and Experiences

University graduate (Master level) computer science, data science, computational biology, bioinformatics, computational linguistics, physics, mathematics, statistics or any other quantitative discipline.

Technical research experience or coursework in in Machine Learning and Natural Language Processing especially in entity extraction, word-sense disambiguation, image classification, information clustering and data mining.

Experience with automation of workflows in the health domain is highly valued; knowledge of validation techniques, and using statistical techniques in decision making also valued. 

Elsevier is a global information analytics business that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. We help researchers make new discoveries, collaborate with their colleagues, and give them the knowledge they need to find funding. We help governments and universities evaluate and improve their research strategies. We help doctors save lives, providing insight for physicians to find the right clinical answers, and we support nurses and other healthcare professionals throughout their careers.

Elsevier provides digital solutions and tools in the areas of strategic research management, R&D performance, clinical decision support, and professional education; including 
ScienceDirect, Scopus, SciValClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized journals, including The Lancet and Cell, more than 35,000 e-book titles and many iconic reference works, including Gray’s AnatomyElsevier is part of RELX Group, a global provider of information and analytics for professionals and business customers across industries.


Elsevier employs over 7,000 people in more than 70 offices worldwide. We are an employer of choice, attracting and developing talented and creative people who thrive in a challenging and fast-paced environment. We offer an excellent compensation and benefits package as well as a real opportunity for career growth in a growing organization. Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. If a qualified individual with a disability or disabled veteran needs a reasonable accommodation to use or access our online system, that individual should please contact 1.877.734.1938 or accommodations@relx.com.


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