Job Location: Remote
Job Detail:
Description
We are looking for a passionate and talented 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 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. Your work will directly impact the trust customers place in the sponsor.
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
- Graduate studies in Computer Science or Applied Mathematics, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in Computer Science and biological sciences or equivalent work history will be highly competitive.
- Expertise in end-to-end data science techniques
- Ability to do exploratory analysis on large volumes of data and find key descriptive and inferential properties
- Strong ML and NLP fundamentals
- Hands-on experience with building NLP application
- Strong analytical and problem-solving skills
- Develop effective data science solutions to deliver business value
- 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)
- Self-motivated, fast learner, excellent communication, presentation, interpersonal, and analytical skills
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
- PhD in Computer Science
- Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services
- Track record of contributing to open-source projects
- Understanding of modern ML Architectures, Platforms, and backend systems
- Mentality of commit early and often, metrics before models, and shipping high quality production code
- Extensive experience applying theoretical models in an applied environment
- Strong fundamentals in problem solving, algorithm design and complexity analysis
- Experienced with engineering and architecting data lakes, data warehouses, and big data storage and compute platforms on AWS.
- In addition, experienced with modern high – performance columnar storage formats such as Apache Parquet and Optimized Row Columnar (ORC). Familiarity with NoSQL, experience with ETL framework like Airflow
- Experienced with development tools and data cataloging, search, analysis, visualization, and reporting tools such as Python, SAS, Tableau, Power BI, and various Amazon Web Services tools (S3, Glacier, RDS, Redshift, EC2, Athena, EMR, Glue, Elasticsearch, Lambda, Kinesis, QuickSight)
- Experienced with building and modeling a data sciences platform that address technology, process, and people. This includes understanding and building a data layer for data capture, ingestion, ETL, and data set management, analysis layer for analytics, compute, and batch processing, end user spaces for search, visualization, interactive tools, and self-service.
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
We are committed to providing equal employment opportunities for all, including veterans and candidates with disabilities. https://jobs.iqvia.com/eoe
As the COVID-19 virus continues to evolve, IQVIA’s ability to operate and provide certain services to customers and partners necessitates IQVIA and its employees meet specific requirements regarding vaccination status. https://jobs.iqvia.com/covid-19-vaccine-status
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