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Data Scientist - Princeton, United States - Certara USA, LLC
Description
OverviewOverview
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 featuresSupport projects through the data science lifecycle - from R&D to productionCarry out preprocessing of structured and unstructured dataProcessing, cleansing, and validating the integrity of data to be used for analysisDevise 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 inferenceFamiliarity with containerization tools such as Docker/KubernetesAbility to work in a distributed, fast-paced software environment with minimal supervisionFamiliarity with CI/CD and version control tools, unit/integration testing, working with GitExtensive knowledge of deep learning and machine learning techniques, and pitfalls, and experience applying them to real world data setsComfortable 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.#J-18808-Ljbffr
