- and M.S. degrees in an engineering or science field such as Chemical or Biological
- record of leading data science and machine learning projects
- yrs of coding experience in Python
- background with strong ML skills
- in AI and ML algorithms
- working with experimental data sets, data mining, and machine
- tools such as PyTorch and TensorFlow
- of biopharmaceuticals process and related unit operations.
- using Git for version control
- with DevOps and software best practices (i.e., version control,
- integration, test driven development)
- in Databricks, Spotfire
- in cloud computing and storage systems such as AWS.
- self-motivated, organized, able to multi-task in time-sensitive
- and skilled in communication, facilitation, and collaboration
- communication skills (written and verbal)
- analytical skills with the ability to collect, organize, analyze, and
- significant amounts of information with attention to detail and
Data Scientist - Cambridge, United States - SSi People
Description
Title: AI/ ML Scientist
Location: Cambridge, MA (Hybrid)
Duration: Long Term Contract
***Only Pharma/ Biopharma/ Biotech experience is considered**
Description
As a AI/ML Scientist , you will be responsible for developing, maintaining and deploying machine learning models for different biopharmaceutical processes where having a fundamental understanding of process engineering would be preferred. You will be responsible for the selection of the underlying technologies and infrastructure. Finally, you will enable dataflow from our centralized data lake to computational models. The ideal candidate will have a strong background in engineering as well as expertise in data science to tackle challenging cross-functional projects including surrogate model development, machine learning, data analysis and visualization.
Basic Qualifications
Preferred Qualifications