Machine Learning Staff Scientist at NSF-NCEMS
Penn State University Park, United States
R
USD 61K-115K Senior-level Full Time
Tasks
- Build and optimize predictive and generative models
- Collaborate with working groups to design machine learning approaches for molecular and cellular data
- Develop end to end machine learning workflows for multi omics
- Implement scalable training and inference pipelines
- Prepare machine learning ready datasets with data wrangling harmonization quality control and documentation
- Stay up to date with advances in machine learning and AI for biology
- Support publication of data products models code and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
Auto-regressive models | CNN | Causal Inference | Cell analysis | Classification | Clustering | Computer Vision | Conda | Containers | Data Normalization | Data Preprocessing | Deep learning | Diffusion Models | Dimensionality Reduction | Epigenomics | Feature Learning | GNN | GPU Computing | Generalized Linear Models | Generative Modeling | Genomics | Git | Graph Neural Networks | HPC | JAX | Language Processing | Linear Models | Machine Learning | Metabolomics | Multi-Omics | Natural Language | Natural Language Processing | Neural Networks | NumPy | Pandas | Probabilistic Modeling | Proteomics | PyTorch | Python | RNN | Regression | Representation Learning | Scikit-image | Scikit-learn | Sequence Modeling | Series modeling | Single Cell Analysis | Single-cell | TensorFlow | Time Series | Time Series Modeling | Transcriptomics | Transformers | Uncertainty Quantification | Variational Autoencoders | Version control
Education
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