4 months ago

BioMedical AI Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery. Build AI agents to retrieve, synthesize, evaluate, and act on data from literature, omics, and clinical records within discovery workflows, collaborating with computational biologists, translational scientists, and software engineers.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
•Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
•Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
•Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
•Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.

Pay and Benefits

Salary: USD 190,000 - 280,000 annually

Equity and Bonus:Equity

Key Requirements

•Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
•Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
•Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
•Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
•Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora)

Experience:BiotechBiomedicalHealthcareAI

Education:Bachelor's

Skills:PythonCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPyTorchJAXTensorFlow

Company Brief

Xaira Therapeutics

Xaira Therapeutics is a biotechnology company developing novel targeted therapeutics using proprietary discovery platforms to address serious unmet medical needs. The company focuses on advancing preclinical and clinical-stage programs toward regulatory approval and commercialization.

Industry: Biotech

Website

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Xaira Therapeutics

4 months ago

BioMedical AI Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
•Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
•Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
•Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
•Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.

Pay and Benefits

Salary: USD 190,000 - 280,000 annually

Equity and Bonus:Equity

Key Requirements

•Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
•Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
•Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
•Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
•Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora)

Experience:BiotechBiomedicalHealthcareAI

Education:Bachelor's

Skills:PythonCommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonPyTorchJAXTensorFlow

Company Brief

Xaira Therapeutics

Industry: Biotech

Website