Machine Learning & AI Products, RWS Technology

We are seeking an experienced data engineering lead to be part of our team which builds AI & machine learning products.

In this role you will partner with Data scientists, Software engineers to build products to solve healthcare problems

A typical day might include:

• Drive data vision and strategy for the team of Data Engineers

• Setting technical direction for others to follow

• Design and develop data processing in Scala

• Mentor and support team

• Collaborate with partners from other teams  to design and develop data/architectural roadmap.

• Drive process improvements and automation

• Part of an agile scrum team.

Our ideal candidate: Experience

• BSc or MSc in Computer Science or similar

• Minimum 7  years commercial experience Scala and Spark writing highly performant code

• Minimum 5 years experience in data modelling and scalable data architecture.

• Experience in building data roadmaps and leading large data engineering team.

Our ideal candidate: Tech Skills

• Proficient in Scala, Java and SQL

• Strong experience with Apache Spark, Hive/Impala and HDFS

• Familiar with Python, Unix/Linux, Git, Jenkins, JUnit and ScalaTest

• Experience with integration of data from multiple data sources

• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB

• Experience with any of the following distributions of Hadoop - Cloudera/MapR/Hortonworks.

Bonus points for experience with:

• Other functional Languages such as Haskell and Clojure

• Strong interest in functional programming

• Experience in NoSQL with ElasticSearch

• Knowledge of REST API development

• Big Data ML toolkits such as Mahout, SparkML and H2O

• Apache Kafka, Apache Ignite and Druid

• Container technologies such as Docker

• Cloud Platforms technologies such as DCOS/Marathon/Apache Mesos, Kubernetes and Apache Brooklyn.

The Team

This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The Predictive Analytics team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.

We are looking for a creative, innovative, intellectually-curious and entrepreneurial Big Data Software Engineer to join our RWS Technology division in Warsaw. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results.

The Business Unit: Real-World Solutions (RWS) Technology

 “Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World Solutions (RWS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools. 

#LI-MS5

At IQVIA, 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. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 67,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.