Position Overview
We are seeking an experienced AI Engineer based in southeastern Michigan to join our team as we develop and deploy cutting-edge artificial intelligence solutions that can make a meaningful impact in healthcare and life sciences. This is a hands-on role where you’ll wear multiple hats - researcher, engineer, problem-solver, and collaborator.
Key Responsibilities
AI Strategy & Implementation
- Design and implement production-ready AI agents that interact with scientific data, tools, and APIs to support discovery and decision-making.
- Develop and maintain AI pipelines for biological data analysis, including genomics, metabolomics, and clinical datasets.
- Build and fine-tune foundation models (language, multimodal, generative) for biological and clinical data.
- Prototype quickly, test often, and iterate toward scalable solutions.
- Push forward best practices for model evaluation, interpretability, and deployment in a regulated industry.
- Build scalable machine learning infrastructure that can handle large-scale biological datasets.
- Implement MLOps practices including model versioning, monitoring, and automated retraining.
- Keep pace with the latest in generative AI, multimodal learning, and agent frameworks.
- Ensure AI systems meet regulatory compliance requirements relevant to biotech and healthcare.
Cross-Functional Collaboration
- Collaborate with product management and scientific team to identify high-impact opportunities for AI integration.
- Work closely with bioinformaticians, data scientists, and domain experts to translate scientific requirements into technical solutions.
- Ensure AI implementations align with FDA and other regulatory frameworks.
Required Qualifications
Technical Expertise
- 3-5 years of experience in machine learning engineering with production deployment experience.
- Strong programming skills in Python and relevant ML frameworks and tools (TensorFlow, PyTorch, Hugging Face, LangChain, or equivalent).
- Experience creating AI agents and multi-agent systems.
- Hands-on experience building or fine-tuning large models (transformers, diffusion, multimodal).
- Proficiency in data engineering tools and techniques for handling large-scale datasets.
- Practical experience deploying models as services or agents in production.
Biotech/Healthcare Experience
- 2+ years of experience applying AI/ML in biotech, pharmaceutical, or healthcare domains.
- Familiarity with biological data types and analysis pipelines (genomics, transcriptomics, clinical data).
- Understanding of regulatory requirements for AI in healthcare/biotech (FDA guidelines, etc.)
- Experience with bioinformatics tools and databases is highly preferred.
Communication
- Strong problem-solving abilities with experience in research-oriented environments.
- Excellent communication skills with ability to present to both technical and business audiences.
- Experience working in startup or fast-paced environments.
Preferred Qualifications
- Bachelor’s or master’s degree in computer science, Machine Learning, or related technical field.
- Experience with biological sequence modeling or scientific foundation models.
- Knowledge of agent-based modeling or multi-agent systems.
- Familiarity with computational biology tools and databases.
- Experience with model compression, quantization, or efficient deployment techniques.
- Publications or projects demonstrating AI applications in scientific domains.
- Location:
- Based in Plymouth, Michigan, with hybrid work flexibility.
About Us
We are an Artificial Intelligence-Powered Patient-Focused Precision Medicine company translating patient-specific and population-based big medical data into novel pharmacological clinical treatment decision support products and services.
