Data Scientist - Princeton, United States - Certara USA, LLC

Description

Overview

Overview

The successful candidate will be a Ph.
D.

level data scientist with knowledge in the life sciences, including protein structures, small compound analytics and broader LS/HC subject matter.

The candidate will also be able to develop deep learning applications using Python as a primary tool, both to implement novel solutions and iterate on existing software solutions.

The candidate will primarily work in a virtually distributed, dynamic and extensively experienced technical team.

Responsibilities

Responsibilities for the Data Scientist will include:
Work closely with other data scientists and SMEs to develop DL/ML powered software features
Support projects through the data science lifecycle - from R&D to production
Carry out preprocessing of structured and unstructured data
Processing, cleansing, and validating the integrity of data to be used for analysis
Devise and collect data on metrics surrounding the success of the systems developed by Vyasa

Qualifications

The ideal candidates will have the following skills or experience:

Exceptional Python skills, experience using scientific libraries including Tensorflow/Pytorch to train and serve models for inference
Familiarity with containerization 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

Certara is an Equal Opportunity Employer.

Certara does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

All employment is decided on the basis of qualifications, merit, and business need.