Senior Data Scientist, NLP

Key Skills

AI technology, AWS, Cloud computing, Data Analysis, Data science techniques, Distributed computing, Git, Keras software library, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scikit-learn, Software Development, SPARK Programming, TensorFlow

Job Description

Summary: We are seeking a senior-level Data Scientist who will collaborate with other scientists and engineers to leverage machine learning methods and algorithms for modeling and analysis of clinical operations and clinical trials data. You will directly support the efforts of a prominent pharmaceutical company, working fully within their environment. Experience with Natural Language Processing (NLP) fundamentals and applications is required. Working experience related to life sciences is strongly preferred.

You will design and run experiments, research new algorithms, and find new ways of optimizing Clinical operations. Besides theoretical analysis and innovation, you will work closely with talented engineers to put your algorithms and models into practice.

Essential Duties and Job Functions:

• Design, implement, test, deploy and maintain innovative data and machine learning solutions to improve clinical operations.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques.
• Collaborate with scientists, engineers, product managers and business stakeholders to design and implement software solutions.
• Use machine learning best practices to ensure a high standard of quality for all of the team deliverables.

Basic Qualifications

• Undergraduate or graduate studies in computer science, applied mathematics or studies in the life sciences with a focus on AI/ML techniques.
• Expertise in end-to-end data science techniques.
• Strong ML and NLP fundamentals.
• Hands-on experience with building NLP applications.
• Ability to do exploratory analysis on large volumes of data and find key descriptive and inferential properties.
• Strong Python (3+ years) programming skills, with an ability to manipulate large and sophisticated datasets using distributed computing technologies (e.g., Apache Spark).
• Knowledge of cloud services (e.g., AWS) and developing data science projects.
• Proficiency in using ML toolkits, e.g., Scikit-learn, Keras, Tensorflow, Pytorch.
• Software development methodologies and tools (unit tests, code reviews, Git).

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