Biocode Ai was founded with the vision of helping improve patient outcomes through the application of technology. We believe technology can increase the capacity of the healthcare system, unlock new and novel treatments, and transform the care model to improve the lives of patients everywhere.
We are looking for a driven Senior AI Data Scientist to join our growing team. This role will work with both the Data Science and Engineering teams developing new product features, working in research and development, and developing end-to-end evaluation tests. This is an applied data science role building features for production and supporting production pipelines to deliver new features to users. Experience working with medical or veterinary datasets is an asset and this role involves working with medical indicators, outputs, and outcome metrics to ensure medical quality and accuracy requirements are achieved.
The role also has the option to work with the engineering and full-stack development teams supporting the primary interface between research innovation and product implementation, translating experimental breakthroughs into scalable technical architectures. Biocode Ai develops patient management, diagnosis, and treatment tools with a current focus on the Veterinary industry. We have partnered with hundreds of veterinarians to develop tools that help improve workflow and patient outcomes by leveraging the latest in generative AI technology. We are working to transform the way veterinary hospitals care for patients, and we are looking for team members who want to contribute to that vision (learn more at www.fydodx.com).
The ideal candidate will have 5+ years of experience working in healthcare research and developing healthcare methodology. The role requires building end-to-end evaluation metrics and 2-4 years of experience deploying LLM models into production.
The role includes the opportunity to bring creativity, research, and implement new and emerging technologies. Our team is a small group of experienced developers that work collaboratively to build features that are first to market in the industry. The applicant should be both a self-starter and team-oriented, working with Full-Stack Engineers, Project Managers, Doctors, and Data Scientists.
Responsibilities
- Lead efforts in prompt engineering, including design and refinement of high-quality prompts and templates for LLM performance.
- Develop and build LangGraph data extracts from semi-structured and dirty data
- Utilize Agentic Document Extraction with experience pre-processing and post-processing unstructured and semi-structured datasets (Books, Images, Text etc.).
- Train and test LLM applications, including development of RAG layers and fine-tuning pipelines.
- New feature development; contributing to projects from conception through to production implementation.
- Training AI models to achieve strict requirements and LLM model selection; experience testing and benchmarking different LLM models to optimize for task-specific requirements.
- Build AI model end-to-end evaluation test suites to determine and improve model benchmarks.
- Experience working with SQL databases and building data visualizations using Tableau is an asset.
- Work closely with backend developers to build production level code and deploy new features into production
- Collaborate with veterinarians and subject matter experts to define success metrics and clinically relevant training parameters.
Experience & Qualifications
- 5+ years of applied data science experience.
- 5+ years experience working with healthcare research methodology and patient datasets
- 2+ years experience working with Vector Databases
- 1+ years experience working with LangGraph, LangSmith and/or LangChain
- 1+ years experience working with data visualization tools such as Tableau, Plotly, etc.
- Knowledge of cloud infrastructure (GCP preferred).
- Fluent in Python and SQL, with a passion for clean, well-structured, testable code.
- Proven experience building new features; scoping projects from conception to production
- Hands-on experience developing end-to-end evaluation frameworks/modules for AI models and building AI models that achieve strict accuracy requirements.
- Skilled in debugging/troubleshooting at scale and applying ML/statistical modeling techniques.
- Domain knowledge - Experience working with healthcare medical/ patient datasets, billing codes (ICD-10 &/or CPT codes) or veterinary datasets.
- Experience in veterinary healthcare settings is preferred, animal owners are a bonus!
- Being a team player and able to communicate ideas with technical & non-technical team members.
- Bachelor’s degree required (preference to Health Sciences or degrees that include research/ healthcare methodology). Masters degree preferred.
Additional Detail
- Must be legally authorized to work in Canada
- Remote Position with hybrid flexibility available: remote with maximum 4 in-person meetings annually. Office access available in Vancouver’s Yaletown tech hub.
- Biocode Ai Inc. is an equal opportunity employer and encourages minorities, women, and LGBTQ+ applicants to apply.
Application Process
- Please send a resume highlighting relevant skills and experience.
About Biocode Ai
Biocode AI was founded with the vision of helping improve patient outcomes through the application of technology. We believe technology can increase the capacity of the healthcare system, unlock new and novel treatments, and transform the care model to improve the lives of patients everywhere. Artificial Intelligence and Machine Learning are cutting-edge tools that can help achieve those goals. But technology alone is not enough. We, as technologists, need to learn and leverage the depth of expertise and intuition that practitioners hold. That’s why we work hand in hand with clinical practitioners to design and develop AI-driven solutions that have a real impact on patients. Learn more at www.fydodx.com and www.biocode.ca
Job Types: Full-time, Permanent
Benefits:
- Dental care
- Extended health care
- Paid time off
- Stock options
- Tuition reimbursement
- Vision care
- Work from home
Work Location: Remote
