The Sealy Institute for Drug Discovery (SIDD) at UTMB is seeking an outstanding bioinformatics expert to join their faculty as an Assistant Professor. The role involves applying AI and machine learning techniques to biological and chemical datasets for drug discovery research.
Requirements
- PhD in Computer Science, Bioinformatics, Computational Biology, or a related field, with a strong emphasis on AI and machine learning.
- Postdoctoral or equivalent experience.
- A proven track record of research in applying AI to biological or chemical datasets with publications in peer-reviewed journals.
- Demonstrated ability to handle large (Big Data) datasets and experience with computational tools and databases relevant to genomics, proteomics, and drug discovery.
- Knowledge of biological and chemical data formats and standards, such as FASTA, FASTQ, BAM, VCF, BED, GFF, PDB, and SDF.
- Strong theoretical understanding of key frameworks and AI model architectures
- Proficiency in Python and R as well as key frameworks for AI development (e.g. PyTorch, TensorFlow, JAX or equivalent).
Responsibilities
- Applying AI to biological or chemical datasets
- Handle large (Big Data) datasets
- Experience with computational tools and databases relevant to genomics, proteomics, and drug discovery
- Knowledge of biological and chemical data formats and standards, such as FASTA, FASTQ, BAM, VCF, BED, GFF, PDB, and SDF
- Proficiency in Python and R as well as key frameworks for AI development (e.g. PyTorch, TensorFlow, JAX or equivalent)
- Familiarity with pipeline development and ability to work with teams to scale and operationalize new models and training regimes
- Deep expertise in AI model development and an ability to extend and apply tools such as AlphaFold, DiffDock, MolBert and similar tools in new and creative ways
Other
- Excellent communication and presentation skills, both oral and written.
- Strong problem-solving and critical thinking skills.
- Ability to work independently and collaboratively in a multidisciplinary and dynamic environment.
- High motivation and passion for bioinformatics and biomedical research.
- Commensurate with experience.
