Machine Learning Engineer

Machine Learning EngineerAnalytics Centre of Excellence (ACOE)London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery.Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients.ACOE Product Portfolio:In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules.Job OverviewDevelop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery.Essential FunctionsFacilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypesFacilitates the development of features of models on individual projects and/or products with guidance and support from othersDevelops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research ScientistsFacilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developedUses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithmsFacilitates the testing and validation of models to determine viability for deployment with guidance and support from othersConsult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical deliveryWhat we’re looking forMaster's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related fieldSeveral years’ experience working on creating machine learning algorithmsProgramming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent.Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line toolsExperience with building, testing, measuring, and deploying machine learning models in productionFamiliarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.)Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)Previous experience of owning, maintaining, and enhancing software data productsAttention to clarity of code, ease of development, and correctness of implementationsGood knowledge of software development best practices including testing, continuous integration, and DevOps toolsPreferred Requirements: Knowledge and experience of Hierarchical ModellingExperience with clinical domain and with regulated dataUsed Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural NetworksKnowledge of cloud systems such as AWS, Azure, GCP and containerization such as DockerExperience working with large, real-world datasetsDemonstrated in-depth understanding of product development lifecycleDemonstrated aptitude for and interest in peer mentorshipExperience deploying code into production through CI/CD toolsKnowledge of biostatistics/life sciences/healthcare technologyKnowledge of UX principlesExperience working in the Hadoop ecosystemWhy Join?Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.It's an exciting time to join and reimagine what's possible in healthcare.IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.We thank all applicants for their interest; however only those selected for interview will be contacted.IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at
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