About this role
The intern will leverage Generative AI and bioinformatics tools to support the generation of clinical genomic reports. Responsibilities include parsing genomic data, developing LLM prompts, and implementing Agentic AI solutions for precision medicine workflows.
Candidates should be Year 2 or 3 undergraduates in Computer Science, Data Science, or related fields with proficiency in Python and deep learning frameworks. Familiarity with LLMs, version control, and exposure to genomics or cloud platforms is highly desired.
What they're looking for
PythonPyTorchLarge Language ModelsPrompt EngineeringFine-tuningGitGitHubAgentic AI
Frequently asked questions
What does a Uni Internship Jan to July 2027 - Generative AI for clinical genomics applications at Synapxe do?
The intern will leverage Generative AI and bioinformatics tools to support the generation of clinical genomic reports. Responsibilities include parsing genomic data, developing LLM prompts, and implementing Agentic AI solutions for precision medicine workflows. Candidates should be Year 2 or 3 under…
What skills does this Uni Internship Jan to July 2027 - Generative AI for clinical genomics applications role need?
Key skills for this role include Python, PyTorch, Large Language Models, Prompt Engineering, Fine-tuning, Git.
How much does a Uni Internship Jan to July 2027 - Generative AI for clinical genomics applications at Synapxe pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Uni Internship Jan to July 2027 - Generative AI for clinical genomics applications role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Uni Internship Jan to July 2027 - Generative AI for clinical genomics applications role?
You can apply directly on Synapxe's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.