Data Scientist HC/ Pharma REMOTE US SQL PYTHON SAS

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

ICON plc is a world-leading healthcare intelligence and clinical research organisation. From molecule to medicine, we advance clinical research providing outsourced services to pharmaceutical, biotechnology, medical device and government and public health organisations.

With our patients at the centre of all that we do, we help to accelerate the development of drugs and devices that save lives and improve quality of life.

Our people are our greatest strength, are at the core of our culture, and the driving force behind our success. ICON people have a mission to succeed and a passion that ensures what we do, we do well.

Healthcare Intelligence Experts.

Symphony Health, part of the ICON plc family, comprises curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they'll have tomorrow. Together, we can help patients get the right drugs at the right times.

Our Custom & Advanced Analytics Team of Data Scientists is focused on providing innovative solutions to healthcare-related business problems going beyond traditional row-and-column data sets. We're always looking for self-motivated Data Scientists at all levels (entry through senior to manager) who can independently analyze data and produce quality presentations based on the resulting predictive systems for both internal and external clients, while supporting privacy, driving project implementation, and supporting revenue needs.

Overall, our Data Scientists:

• Create project charters involving business problem definition, business value, performance metrics, success criteria, scope, and milestones.
• Coordinate analysis with others.
• Respond to inquiries and follow up on data validations
• Provide recommendations based on the results to facilitate business strategy.
• Collaborate with cross-functional teams (such as customers and internal IT teams) to understand business needs, ensure data integrity and flow efficiency, and to create tools for customer utilization.
• Provide quality validations and on-going support of client and projects.
• Ensure quality control to evaluate the accuracy of deliverable and/or project analysis.
• Interpret Third Party reports to the business
• Drive implementations of Privacy redactions with Internal Teams.
• Finalize and deliver the results of assigned projects to internal clients

Our Data Scientists Have:

• Master's Degree in Data Science, Statistics, Mathematics, Epidemiology, Public Health, Pharmacy, or related field
• Experience in healthcare, pharmaceutical, Health Economic Outcomes Research (HEOR), data analysis
• Experience in cleaning and transforming data for machine learning.
• Knowledge of relational databases, distributed computing environments, scripting languages, and statistical computing packages, including R, Python, Hadoop, Spark, AWS and Oracle
• Intermediate to Expert level experience using SAS, SQL

Additional experience in the following areas is an asset:

• Experience in handling time-series and image data
• Thorough understanding of inpatient clinical (lab, pharmacy, radiology, notes) and outpatient medical claims and pharmacy claims data
• Thorough understanding of standard research protocols: protocol, SAP, peer reviewed publications for execution of HEOR/ RWE studies
• Experience analyzing customer segmentation data, especially through social media platforms
• Experience with machine learning toolkits such as scikit-learn, pytorch, and TensorFlow, and Natural Language Processing toolkits such as NLTK or spaCy.