Machine Learning Engineer

Machine Learning Engineer

Analytics Centre of Excellence (ACOE)

London/UK

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.

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 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 Overview

Develop 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 Functions

• Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes
• Facilitates the development of features of models on individual projects and/or products with guidance and support from others
• Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists
• Facilitates 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 developed
• Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms
• Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others
• Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery

What we’re looking for

• Master's Degree Master’s Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field
• Several years’ experience working on creating machine learning algorithms
• Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools
• Experience with building, testing, measuring, and deploying machine learning models in production
• Familiarity 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 products
• Attention to clarity of code, ease of development, and correctness of implementations 
• Good knowledge of software development best practices including testing, continuous integration, and DevOps tools 

Preferred Requirements:

• Experience with clinical domain and with regulated data
• Previous experience using one or more of the following: Java, C++, Python, R, Go, Kubernetes,
• Used Deep Neural Network libraries such as Tensor Flow or Pytorch
• Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker
• Experience working with large, real-world datasets
• Demonstrated in-depth understanding of product development lifecycle
• Demonstrated aptitude for and interest in peer mentorship
• Experience deploying code into production through CI/CD tools
• Knowledge of biostatistics/life sciences/healthcare technology
• Knowledge of UX principles
• Experience working in the Hadoop ecosystem
• Prior management/mentorship experience

Why join?

Those who join us become part of a recognised global leader still willing to challenge the status quo to improve patient care.

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.

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 https://jobs.iqvia.com