Bioinformatics Manager AIML

Overview

Job Description

• Deep curiosity and excitement about connecting AI architectures with biological meaning.
• Excellent cross-disciplinary communication — able to converse equally well with AI engineers and biologists.
• Self-directed, detail-oriented, and comfortable working in a fast-paced, dynamic startup environment.
• Passionate about improving patient outcomes through innovative science and technology.

• Programming:
  Expert in Python (pandas, PyTorch, Tensor Flow, scikit-learn, Hugging Face, PyTorch Geometric).
• AI/ML Expertise:
  Proficiency in LLMs, GNNs, transformers, and model fine-tuning workflows.
• Bioinformatics Tools:
  Familiar with databases such as Ensembl, Uni Prot, ChEMBL, Drug Bank, GEO, and OMIM.
• Data Integration:
  Experience with multi-omics data fusion and biomedical knowledge graphs.
• Visualization & Communication:
  Skilled in building interpretable visualizations and clearly communicating computational findings.
• Version Control:
  Proficient in Git and collaborative coding practices.
• Familiarity with molecular modeling, chemo informatics, or AI for protein–ligand interaction prediction.
• Experience in biomedical NLP, scientific literature mining, or ontology construction.
• Understanding of preclinical pharmacology or toxicogenomics.
• Experience working in cloud environments (GCP, AWS).

Regards,

Mohammed ilyas,

PH –  or Text –  or you can share the updated resume at Mohammed

Qualifications: Additional Information

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