Job Description

Overview:
We invite applications from recent graduates with a background in Machine Learning and Computer Science or related field to work on computational biology and biomedical AI projects. Prior experience in computational biology is NOT required. The position involves developing and implementing algorithms and data pipelines and building AI-driven tools that integrate biomedical knowledgebases and data. This role provides exposure to cutting-edge biomedical data science and opportunities for research publications.
Responsibilities:

• Develop and implement algorithms for data analysis, graph-based modeling, and machine learning
• Develop and maintain (Python-based) software for data processing pipelines
• Work with large-scale biomedical datasets
• Contribute to research
• Study publications and other sources of information to gain relevant knowledge
• Collaborate with team members on AI-based projects for biological discovery
• Document workflows, code, and datasets for reproducibility
• Prepare data summaries, figures, and reports for publications and grant proposal submissions

Contribute to writing research publications and presentations if applicable.
Qualifications
Preferred Qualifications:

• Master's degree in Computer Science, Data Science, or a related discipline. Exceptionally skilled candidates with Bachelor's degree may also qualify.
• Strong programming skills in Python; Experience in C/C++ is desirable.
• Experience with databases (MySQL/PostgreSQL), data visualization, and Git/GitHub
• Interest in machine learning, LLMs, or graph neural networks
• Willingness to learn biological concepts
• Strong analytical and communication skills

Skills Required