My Pittsburgh biotech client is expanding and seeks a ML Scientist to enhance drug discovery and development efforts. The ideal candidate will take on the following tasks:
Analyze biological datasets by creating and implementing machine learning models.
Implement metrics to verify model and algorithm effectiveness.
Automate model training, testing, and deployment.
Develop analytical tools for the management of pre-clinical and clinical datasets.
Prepare reports, publications, and presentations for internal and external partners.
Keep up with emerging trends in ML, DL, and NLP.
The ideal candidate will possess the following qualities:
PhD and 2+ years applying ML algorithms to high-dimensional datasets.
Working knowledge of bioinformatics and biological concepts, as well as ML, DL, and NLP.
Proficient in Python/R scripting.
Expertise in ML/DL frameworks like Pytorch, TensorFlow, and others.
Demonstrated ability to write high-quality, production-ready code.
Experience with GIT, AWS, SQL and scRNAseq is desired.