The successful candidate will be a data scientist who has experience with research, implementation, and productization of machine learning and deep learning software. The candidate will have a working knowledge of NLP, both modern and classical. The candidate will be adept at developing deep learning applications using Python as a primary tool, both to implement novel solutions and iterate on existing software solutions. The candidate will be a self starter, comfortable working with minimal supervision. The candidate will primarily work in a virtually distributed, dynamic and extensively experienced technical team.

• Responsibilities for the Data Scientist will include:
• Work closely with other data scientists and SMEs to develop DL/ML powered software features
• Work primarily on software geared towards improving biosimulation and medical writing workflows in the life sciences sector
• Address software tickets from research to bug fixes to implementation of new api endpoints
• Processing, cleansing, and validating the integrity of data to be used for analysis/training
• Devise and collect data on metrics surrounding the success of the systems developed by CertaraAI

The ideal candidates will have the following skills or experience:

• Experience implementing NLP systems at scale.
• Exceptional Python skills, experience using scientific libraries including Tensorflow/Pytorch to train and serve models for inference
• Familiarity with tools such as Docker/Kubernetes
• Ability to work in a distributed, fast-paced software environment with minimal supervision
• Familiarity with CI/CD and version control tools, unit/integration testing, working with Git
• Extensive knowledge of deep learning and machine learning techniques, and pitfalls, and experience applying them to real world data sets
• Comfortable working in a remote environment and communicating via chat, video conference, screen sharing and phone calls
• 3+ years of working experience as a data scientist
• Masters + preferred but not required

Certara bases all employment-related decision on merit, taking into consideration qualifications, skills, achievement, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.