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26 days ago
Requirements and responsibilities
Job DescriptionEVERSANA applies AI/machine learning techniques to the breadth of healthcare and non-healthcare data integrated with our deep clinical expertise to provide a unique and unmatched suite of services and products to the pharmaceutical and healthcare industries.We are seeking highly motivated individuals who are passionate about AI/machine learning and its application across disparate data resources to help our healthcare clients gain insights not previously possible and to connect patients to therapies sooner and positively impact their lives.EVERSANA is seeking a Data Analytics professional to design, implement and deploy advanced machine learning / artificial intelligence algorithms across multiple domains including, but not limited to, healthcare, media, programmable ads, retail, and manufacturing. These analysis tasks will involve developing original code and leveraging EVERSANA’s existing healthcare analytics platform to provide analytic solutions in support of EVERSANA’s internal and external clients. This professional will be a member of EVERSANA Data & Analytics Data Science team.Experience in one of the following areas would be a plus:Population HealthHealth EconomicsEpidemiologyDevelopment of machine learning solutions in healthcareExperience with production-level machine learning platformsGenomics data processing / bioinformaticsSocial media analysis/NLPProgrammatic Ads / AlgorithmsOmnichannel experienceESSENTIAL DUTIES AND RESPONSIBILITIESApply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data setsDevelop visualizations for delivery to clientsDevelop software solutions using Python, and/or RInterface with other EVERSANA analysts and program managers and with Eversana customersContribute to EVERSANA's machine learning platformDegree in any of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Quantitative Economics, StatisticsEXPECTATIONS OF THE JOBTravel (10%)Hours (40 Hours per week, 5 days of the week)RemoteQualificationsMINIMUM KNOWLEDGE, SKILLS AND ABILITIESThe requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.Education: Minimum of a Bachelor’s degree with 2 years of experience, or Master’s degree. Degree(s) in one of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Quantitative Economics, StatisticsExperience and/or Training: Proficiency in the following programming and analysis tools:Visualization tools (PowerBI, Tableau, Looker)SCALA / DevOpsPython (pandas, scikit-learn, Numpy, Scipy, and database access packages)SQL / Redshift / SnowflakeAWS / Azure / Google Cloud PlatformMicrosoft Office ApplicationsPowerpoint: presentation development skillsClient interface and presentation skillsWorks independently and is a self-starter / self-learnerLinux (Red Hat, Ubuntu); Python and software development in a Linux environmentConsideration will be given to prior publications, independent software projects completed, and non-proprietary code authored by the candidate.PREFERRED QUALIFICATIONSBig data technologies (e.g. Spark, Snowflake)DevOps TechnologyScientific computing experienceGraph database / graph machine learningJob TypeFull-Time
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