The Fountain Group is looking to solve the business problem of elucidating drug mechanism of action (MOA) by developing predictive AI/ML models using large-scale transcriptomic and imaging datasets.
Requirements
- Proficiency in Python programming, with demonstrable experience in PyTorch or TensorFlow.
- Understanding of deep learning models and applied experience in deploying AI/ML solutions.
- genomic data analysis
- Transcriptomics
- Imaging data
- Very large data sets
- Domain knowledge of bioinformatics
Responsibilities
- Implementing, training AI/ML models
- Data pre-processing for AI compatibility
- Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows.
- optimizing multi-model models
- Support senior analysts in implementing, training, and troubleshooting AI models.
- Assist in interpreting model outputs to advance the understanding of drug MOA.
- ingesting public data
Other
- PhD in Computational Science, Computer Science, Data Science, Bioinformatics, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer
- Ability to communicate results clearly
- Collaborate with scientific and technical teams to translate biological questions into computational solutions.
- Document processes and outcomes ensuring reproducibility and transparency.
- Work with agility on time-bound projects with critical deliverables.
