Data Science and Technology Developer
ReSurfX is a decision analytics company enabling better decisions and outcomes from Big Data for Lifesciences and Healthcare sectors using our paradigmatic ‘Adaptive Hypersurface Technology’ (AHT). AHT is a novel form of machine learning (and a ML modifier) to gain intelligence, novel insights and for advance prediction of outcome directions from large volumes of data. With a work location two minutes from a Red Line stop in Cambridge - MA, ReSurfX has been recognized with many accolades - including, recognition as "20 Most Promising Data Analytics Providers 2017" by CIOReview magazine and 'emerging companies defining next generation of personalized medicine platforms and technologies' by the Personalized Medicine World Congress. Our powerful, integrative, patented and proprietary data-source agnostic solutions and products help enterprises navigate the digital transformation better and thrive in the evolving outcomes based economy. Besides our decision analytics IT SaaS products, we redesign sophisticated measurement systems that generate large volumes of data at sensor and component level through application of our technology.
Website: https://resurfx.com Contact: firstname.lastname@example.org - Mention: [Careers]
This self-driven team member will develop cutting-edge tools to improve analytics to be delivered as artificially intelligence-driven outcomes improvement products leveraging variety of well rooted statistical and machine learning tools and our proprietary Adaptive Hypersurface Technology. The person in this role will have a strong interest and knowledge in implementation of solutions for large volumes of data in collaboration with members of teams from IT and other disciplines. Applications developed will cater to the needs of life science and healthcare sectors.
1.Proficient in the field of data science across the spectrum of statistical learning to compute intensive machine learning approaches with excellent knowledge of emerging trends in artificial intelligence product development.
2. An excellent grounding in existing theories and practices as well as hands-on ability with available tools, this person will be open to improving on the state-of-the-art than defending the status-quo.
3.Excellent knowledge in Python and R.
4.Prior background with proven accomplishment in either life science and healthcare sectors or in other science and technology intensive fields.
5.Ability to quickly comprehend concepts and analytic applications in a data-source agnostic manner.
6.Excellent written and oral communication, inter-personal interactions across disciplines, and organizational skills.
1.Prior experience in pharmaceutical, biotech or healthcare enterprise.
2.Prior experience in IT centric division.