​Associate, Associate Data Scientist, Data Surveillance, Clinical Data Sciences Full-time

Associate Data Scientist

Associate Data Scientist is responsible to assist Pfizer's Data Management staff to leverage both internal and external data assets to deliver business insights, implement automation and Artificial Intelligence (AI) methods by collaborating with cross-functional teams within the organization with an overall goal of enhancing tactical and strategic decision making.

This role requires a good understanding of technical and business aspects of Data Science, Clinical Trial data, and Data Management. Exposure to Artificial Intelligence (AI) tools and techniques is a plus. Must be able to understand the analytical needs of business users, to translate the business needs into automation solutions. Requires full Data Science life cycle development experience, including data discovery, labelling the data, working with tech team(s) to create hypothesis, assist in selecting models, test and evaluate models and model operationalization. Should have a strong understanding of relational databases and Clinical Trial data to facilitate data wrangling, model operationalization, and exploration of data. Responsible for adhering to corporate reporting policy and controls to ensure the accuracy, timeliness and confidentiality of Data Management automation. Data scientist must be able to drive tangible business value working under the direction of Lead for AI and Data Sciences by collaborating with Data Managers, Clinical Data Scientists, Client Partners and Information Management colleagues and external vendors.

Role Responsibilities

General:

• Assist the manager implement global strategies, initiatives, processes, and standards to ensure consistent, efficient, and quality Data Science processes to meet expected quality, timelines and deliverables.
• Run SQL queries to extract Operational, Clinical data and Specifications from various information systems.
• Able to independently assess and analyze data quality, understand business processes and how they impact data quality, prepare data including labelling of data for Machine Learning experiments.
• Able to pilot and build POC's to demonstrate and test business value of Machine Learning models, understand Model metrics, iteratively improve Model performance working with tech leads and vendors.
• Analyze, interpret, and summarize Machine Learning model results.
• Operationalize and maintain the models.
• Develop presentations and trainings for business users to increase understanding of AI, Data Science and automation within Data Management.

Basic Qualifications

• Bachelor's degree or above in Informatics, or Computer science, or Statistics, or related business degree with equivalent experience preferred
• Up to two years of total experience with Clinical data, SQL, and Analytics.
• Works independently, receives instruction primarily on unusual situations
• Ability to organize tasks, time and priorities; ability to multi-task
• Ability to communicate with internal & external stakeholders, locally and globally

Preferred Qualifications

• Demonstrated experience with Python and/or R, SAS and Machine Learning models implementation
• SQL experience with relational databases like Postgres or Oracle or Microsoft.
• Prior experience working with Clinical Trials data in large or midsize companies preferred.
• Be able to manage multiple tasks simultaneously and react to problems quickly.
• Must have excellent verbal and written communication skills.
• Must have solid theoretical understanding of classical machine learning as well as Deep Learning methods, NLP and Knowledge Graphs
• Must be a team player, with good listening abilities, self-motivated and demonstrate results.
• Prior working experience with teams spread across different time zones is a plus.

Work Location Assignment: Hybrid

Please apply by sending your CV and a motivational letter in English