●       Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops

●       Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both  in silico

 and experimentally

●      Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments

●      Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability

●      Design of repositories, CI/CD pipelines and integration tests for ML workflows

Qualifications:

Education and Experience

MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience.

Knowledge, Skills, and Abilities

●      Track record developing statistical and machine learning models for complex and unconventional real-life problems

●      Strong mathematical and coding skills

●       Proficiency in Python ,  MLO p s (W&B , MLFlow) and ML packages (scikit-learn, PyTorch , JAX ) , along with SQL and AWS.SK2 

●      Familiarity with ML workflow best practices.

●      Interest in applications of machine learning in biotechnology

●      Strong communication skills, both written and verbal

●      Experience doing research and working with interdisciplinary teams

Additional Preferred Experience (desired, but not essential):

●      Experience in an industry setting related to bio technology, chemicals, or materials manufacturing

●      Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling packages

Working Conditions

Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.

APPLY HERE: https://app.trinethire.com/companies/40395-nanite-inc/jobs/120293-machine-learning-engineer