Overview
Policy Reporter offers a suite of insights products and consulting services to enhance market access strategies and patient support initiatives. By tracking payer policies in near real time, we ensure that the largest pharmaceutical, medical device and diagnostics manufacturers, leading academic institutions and organized provider groups have the most up-to-date data and evidence-based guidance to help patients access the therapies they need. For more information, please visit Policy Reporter.
We are a team of engaged developers who love building reliable, scalable systems that solve direct customer problems. We are a friendly and collaborative team and have found value in being open to learning modern technologies and eager to dive into our applications to tackle a wide variety of technical issues. As a team, we are making significant investments into our tech stack by improving our data structure, increasing automation, scalability, and software quality. We have a challenging problem of building a comprehensive database of payer policy data and keeping it up to date. The technologies that we love include but are not limited to Python, ML/LLMs, PostgreSQL, TensorFlow/PyTorch, OpenSearch, Docker, RabbitMQ, and AWS. We care deeply about building quality products. We are looking for a self-directed, result-driven candidate who is ready to experiment with finding solutions for difficult problems, appreciates challenges, is not afraid of asking questions, and enjoys working with others. This position focuses on leveraging AI technologies to analyze complex healthcare policy documents and providing performant and scalable solutions for data extraction.
Responsibilities
- Provide technical leadership to the team, including but not limited to:
- Programming, code reviews, testing, and deployment
- Mentorship on software development best practices and latest technologies
- Architectural guidance
- Oversee technical decisions across projects within the team and the overall health of the systems for which the team is responsible. Propose improvements and take ownership of their execution.
- Keep updated with the latest AI technologies in ML/NLP/LLM and write production-level code to apply document understanding algorithms/models developed internally and from the community to solve our business problems.
- Actively participate in the complete data science lifecycle, from business understanding and problem framing, model development and integration, to model deployment and quality monitoring in production.
- Work closely and professionally with different stakeholders to identify opportunities for development of new data extraction pipelines or improvements in existing pipelines.
- Contribute to projects, adhere to project timelines, and deliver solutions on time.
- Assist with technical incidents by participating in troubleshooting and problem-solving activities, post-incident discussions/analysis, precaution implementation, etc.
- Assist as needed with technical reviews of code samples and in technical interviews.
- As a project technical lead, collaborate with teams outside of Engineering to ensure that all stakeholders understand project goals, requirements, and realistic timelines.
Qualifications
Requirements:
- 8+ years of software development experience, and 5+ years with machine learning/natural language processing/large language models.
- Bachelor's degree in computer science/engineering discipline or equivalent experience.
- Strong programming skills in Python, SQL.
- Proven expertise in modern ML/LLM tools, such as TensorFlow, PyTorch, Hugging Face, RAG, LangChain, etc.
- Excellent debugging, troubleshooting, and problem-solving skills.
- Knows how to structure applications for long-term maintenance and ongoing flexibility.
- Skills in independently designing distributed and scalable systems. Understands common architecture technologies such as message queue.
- Experience working with cloud technology stack (e.g. AWS).
- Great communication skills (written and verbal) and be a fast learner.
- Experience writing and reading RESTful APIs.
- Database experience such as PostgreSQL.
- Experience communicating directly with customers to synthesize their requirements and align it with business goals.
- Experience leading a team or mentoring other developers to raise the quality of the team/organization.
Nice to have:
- Expertise in document understanding, information retrieval, PDF parsing, or a related domain.
- Experience in LLM agentic design patterns.
- Knowledge of the medical insurance industry and the ability to speak directly to medical professionals.
Policy Reporter's Core Values:
- Excellence
- Value & Respect
- Continuous Learning
- Ownership & Accountability
- Teamwork
Compensation:
$125,000 - $145,000 CAD
Policy Reporter is committed to Employment Equity. Accommodations during the recruitment process are available upon request for candidates with disabilities.
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