Fullscript
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Customer Support Specialist -(Calgary, AB)
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What you'll do:
Your background:
The Perks
7/13/26 cohort
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
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Senior Developer, Fullstack - Practitioner Care
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Fullscript is hiring a Senior Fullstack Developer for one of our practitioner care teams. In this role, you will architect and develop new features that will impact the future of the company and the integrative healthcare industry as a whole.
This is a fullstack role. We’re looking for someone who is comfortable building backend systems and user-facing product experiences, and who can move between business logic, APIs, data flows, and frontend implementation as needed.
Fullscript is built on Ruby on Rails on the back-end, with a GraphQL API. On the front-end, we use React, React Native, TypeScript, and Apollo to create top-notch experiences for our users. Our team cares about doing things well, and about the developer experience on the team. Fullscript is a place where you’ll be encouraged to learn, mentor, and grow.
This is how we like building software: https://fullscript.com/developer-handbook. If you share our values, we’d be excited to talk with you!
What you'll do
Work across the stack to deliver maintainable, observable, and scalable solutions.
Contribute to solution design, rollout planning, and measurement of business impact.
Write high-quality code, contribute to technical improvements, and maintain strong quality standards.
Review pull requests, mentor, and be an advocate for high-quality code that makes future development faster, easier, and better.
Help create a strong team culture by modeling ownership, collaboration, and thoughtful technical judgment.
Scope, plan projects, and work with other developers (front-end and back) to implement them
Other duties determined by the company from time to time
What you bring to the table
You have experience with our tech stack or similar technologies, and are comfortable building user-facing product experiences and backend services.
You are comfortable working with APIs and application layers such as GraphQL.
You write automated tests and understand their value in safe, continuous delivery.
You work well in ambiguity and can help create structure in a new or evolving team.
You are comfortable taking ownership beyond implementation, including helping shape technical direction, delivery strategy, and tradeoff decisions.
You are highly data-driven, and you use business and product signals such as conversion, average order value, and revenue growth to guide decisions and evaluate impact.
You communicate clearly and collaborate well with cross-functional partners.
Bonus if you have
Experience scaling or working on high-scale web applications
Experience with React and GraphQL or similar technology
What we offer
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Senior Data Engineer
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About Fullscript
The Opportunity
What you'll do
- Ingest and normalize heterogeneous healthcare data sources including clinical records, lab results, intake forms, and semi-structured artifacts
- Build robust, reproducible ELT pipelines in a cloud data stack to generate clean, longitudinal patient-level datasets
- Apply OCR and NLP techniques to extract structured signals from unstructured clinical documents
- Implement data quality frameworks, testing, version control, and CI/CD for all ingestion and transformation workflows
- Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs
- Optimize pipeline performance and scalability in cloud data warehouses such as Snowflake or comparable technologies
- Produce clear documentation and operational runbooks that enable internal consumers to trust and act on healthcare datasets
What you bring to the table
- 5+ years in Data Engineering, preferably in healthcare, health tech, or regulated domains
- Deep SQL skills and Python experience applied to data extraction, transformation, and validation
- Experience with dbt or similar transformation tooling and workflow orchestration (Airflow, Argo, etc.)
- Proven ability to handle semi-structured and unstructured data common in clinical workflows
- Hands-on experience with cloud data platforms (Snowflake, BigQuery, Redshift) and scalable pipeline architectures
- Strong data modeling skills, especially for longitudinal patient, event, and lab data structures
- Clear communicator comfortable explaining technical decisions to both technical and non-technical stakeholders
Bonus if you have
- Familiarity with healthcare standards like FHIR, HL7, or clinical interoperability frameworks
- Practical experience with OCR/NLP libraries for document parsing in a data pipeline
- Exposure to predictive analytics or ML model feature engineering in clinical contexts
- Exposure to building data assets that support causal inference or observational research
- Previous mentorship or leadership experience within data engineering teams
What we can offer you
- Salary range: $110,00 to $140,000 CAD
- Flexible PTO and competitive pay, because work-life balance matters
- RRSP/401k match and stock options to invest in your future
- Premium benefits package with customizable coverage, paramedical services, and an HSA.
- Fullscript discounts to save on high-quality wellness products
- Continuous learning opportunities to grow your skills and career
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
Why Fullscript
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Senior Machine Learning Engineer
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The Opportunity
We’re hiring a Senior Machine Learning Engineer to join our AI & Analytics Engineering team. This team builds AI-powered lab interpretation, clinician decision support, and conversational experiences directly into the Fullscript product.
You’ll help build the systems behind some of Fullscript’s most important AI experiences: AI-generated lab summaries, practitioner-facing conversational agents, and tools that help clinicians move from data to insight more quickly. The work is technical, product-minded, and deeply tied to real practitioner workflows.
This is a senior individual contributor role for someone who has shipped production AI systems, understands how to turn ambiguous clinical and product problems into working software, and can own work from early experimentation through deployment, evaluation, and iteration.
You’ll work closely with engineering, product, analytics, and medical stakeholders to build AI features that are reliable, useful, and grounded in the way practitioners actually deliver care.
What you'll do
- Design, build, and deploy LLM-powered product features, including lab result summaries, clinical workflow tools, and practitioner-facing conversational agents.
- Build backend services that integrate LLMs and ML models into Fullscript’s platform, primarily using Python, with increasing exposure to Elixir as the platform evolves.
- Develop AI systems that can support open-ended clinical questions, follow-up interactions, and reasoning over structured and unstructured healthcare context.
- Implement prompting, grounding, retrieval, and safety strategies that improve output quality, consistency, and clinical relevance.
- Build evaluation, testing, monitoring, and CI/CD workflows for AI features, including approaches for accuracy, hallucination detection, edge cases, and reliability.
- Partner with medical, product, analytics, and engineering teams to translate clinical needs into practical AI capabilities that can scale.
- Own AI systems end to end, from experimentation and prototyping through production deployment, iteration, and ongoing improvement.
- Contribute to architecture and implementation decisions for AI-powered analytics, lab interpretation, and clinical decision-support workflows.
- Stay current with fast-moving LLM, agentic AI, and applied ML ecosystems, while staying pragmatic about what is ready for production use.
What you bring to the table
- 5+ years of experience in machine learning engineering, applied AI engineering, backend engineering, or a similar role, with a track record of shipping production systems.
- 2+ years of recent hands-on experience building LLM-powered applications, including conversational agents, RAG workflows, tool use, or agentic systems.
- Strong backend development experience in Python, with solid SQL fundamentals and comfort working across data-heavy product environments.
- Experience integrating LLMs such as OpenAI, Gemini, Anthropic, or similar models into user-facing products.
- Experience with LLM application frameworks or orchestration tools such as LangChain, LangGraph, Hugging Face tools, or similar frameworks.
- Strong engineering practices, including Git, testing, CI/CD, observability, evaluation, and production monitoring.
- Experience evaluating and validating LLM-based applications for quality, hallucinations, correctness, edge cases, and reliability over time.
- Ability to work independently in ambiguous problem spaces, ask strong questions, make sound tradeoffs, and partner effectively with technical, product, medical, and non-technical stakeholders.
Bonus if you have
- Experience with Elixir, Phoenix, functional programming, or an interest in building with Elixir as Fullscript’s AI platform evolves.
- Experience building AI assistants, conversational agents, or decision-support tools in healthcare, clinical workflows, regulated products, or other high-trust environments.
- Familiarity with MCP, Langfuse, agent orchestration patterns, tool-calling systems, or multi-step AI workflows.
What we can offer you
- Salary range: $130,00 to $150,000 CAD
- Flexible PTO and competitive pay, because work-life balance matters
- RRSP/401k match and stock options to invest in your future
- Premium benefits package with customizable coverage, paramedical services, and an HSA.
- Fullscript discounts to save on high-quality wellness products
- Continuous learning opportunities to grow your skills and career
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Senior Developer, Fullstack - Identity and Access Management (IAM)
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What you'll do:
What you bring to the table:
What we can offer you:
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Senior Developer, Frontend - Practitioner Onboarding
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What You'll Do
What You Bring
What We Offer
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Senior SDET (Software Development Engineer in Test)
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The Mission: Core Payments
The Core Payments team is the revenue engine powering Fullscript’s growth.
We own the end-to-end ecommerce experience, including cart, checkout, payments, taxes, discounts, payouts, and financial reporting. Every transaction flows through these systems, requiring high reliability, security, and correctness.
The Role
We’re hiring a Senior SDET to own the engineering of quality for revenue-critical payment systems. This role focuses on building and evolving automated testing systems, improving developer workflows, and ensuring quality is enforced through engineering practices and not just manual validation.
What You'll Do
What You Bring
What We Offer
Why this role matters
This team owns systems where defects directly impact revenue, financial accuracy, and customer trust. This role ensures quality is engineered into the system—preventing issues before they reach production and enabling safe, reliable delivery at scale.
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Senior Developer, Fullstack - Canada Pod
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The Role
Fullscript is looking for a Senior Fullstack Engineer to join a brand new Canada-focused pod.
This team is being created to help grow Fullscript’s business in Canada by building revenue-driving features for the Canadian market and extending high-value capabilities that already exist in the US into Canada.
As the founding engineer on the team, you will play an outsized role in shaping both the product and the way the team works. You will help define technical direction, partner closely with cross-functional stakeholders, and establish a high bar for quality, ownership, and pragmatic execution from the ground up.
This is a fullstack role. We’re looking for someone who is comfortable building backend systems and user-facing product experiences, and who can move between business logic, APIs, data flows, and frontend implementation as needed.
What you'll do:
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Help establish the technical foundation for a new Canada pod, including architecture, engineering practices, and delivery approach.
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Extend and adapt existing US-supported capabilities for the Canadian market, including changes across frontend experiences, backend systems, business logic, and operational workflows.
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Partner with Product, Design, Data, Finance, Operations, and engineers across Fullscript to translate business opportunities into practical technical solutions.
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Work across the stack to deliver maintainable, observable, and scalable solutions.
-
Contribute to solution design, rollout planning, and measurement of business impact.
-
Write high-quality code, contribute to technical improvements, and maintain strong quality standards.
-
Help create a strong team culture by modeling ownership, collaboration, and thoughtful technical judgment.
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Make build vs adapt decisions to shape how the Canada platform evolves.
What you bring to the table:
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You are a strong fullstack software engineer who takes pride in building high-quality, maintainable systems and product experiences.
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You have experience with our tech stack: Ruby or Ruby on Rails and React and are comfortable building user-facing product experiences and backend services.
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You are comfortable working with APIs and application layers such as GraphQL.
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You write automated tests and understand their value in safe, continuous delivery.
-
You work well in ambiguity and can help create structure in a new or evolving team.
-
You are comfortable taking ownership beyond implementation, including helping shape technical direction, delivery strategy, and tradeoff decisions.
-
You are highly data-driven, and you use business and product signals such as conversion, average order value, and revenue growth to guide decisions and evaluate impact.
-
You communicate clearly and collaborate well with cross-functional partners.
Bonus if you have:
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Experience as an early engineer or founding engineer on a new team, product area, or market expansion effort.
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Experience in health tech or other trust-sensitive domains.
What We Offer:
*Our Wherever You Work Well philosophy means Fullscript teammates get to pick their own office - whether that’s in-office, at home, or a bit of both 🐶🏡
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Director of Engineering, Developer Infrastructure
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The Role
We’re looking for a Director of Engineering to lead high-impact engineering teams and shape the future of Fullscript’s platform. You’ll drive technical vision, scalability, and innovation, ensuring our technology empowers practitioners to provide better patient care.
As a strategic and hands-on leader, you’ll guide engineering teams, managers, and cross-functional partners to deliver exceptional products and infrastructure. Your role is to enable teams to move quickly, solve complex technical challenges, and ensure our systems scale to meet growing demand.
This role bridges the gap between infrastructure teams and product engineering, focusing on developer productivity, system reliability, and scalability
What You'll Do
What You Bring
What You Get
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Customer Support Specialist - Labs
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Role Expectations & Responsibilities
Metrics
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Complete about 25 contacts per day (average of 125 per week)* across all channels
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Maintain a CSAT of >90%*
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Maintain a QA score of >90%*
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Maintain a wrap up time of <3 min*
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Assist customers through all channels with a friendly and professional attitude
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Ability to communicate effectively with lab representatives and cross functional team members to resolve issues on behalf of customers
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Willingness to jump in with a positive attitude to support your team or any customer needs
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Stay on top of the most up to date information as the labs product evolves to accurately support customer needs
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Attention to detail; ability to troubleshoot issues and raise any possible bugs or operational issues to the proper teams
*metrics subject to change as volume increases over time
Behavioral
What does success look like in this role?
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Effective self & time manager; ability to use tools to manage tasks and different channels without needing guidance from team lead
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Self starter; willing to do research, and navigate internal and external resources to look for the answer before asking for help
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Going above and beyond with each interaction to leave our customers delighted
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Eager to collaborate and support team members
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Master all lab knowledge as the product offering evolves
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Open to coaching and feedback
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Meeting all metrics as defined above
The Perks
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
Staff, Machine Learning Engineer
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We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.
This is your invitation.
Join us and shape the future of care.
We’re hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.
This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you’ll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You’ll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.
- Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
- Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use
- Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
- Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
- Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control
- Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
- Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
- Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team
- Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript
- 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows
- A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions
- Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production
- Strong experience with LLM application frameworks and tooling, such as LangChain, LangGraph, or similar orchestration and RAG frameworks
- Familiarity with evaluation and monitoring frameworks for LLM outputs, conversational quality, and system reliability
- Knowledge of MCP, agent orchestration patterns, or related approaches for building multi-step AI systems
- Strong proficiency in Python and SQL
- Experience making sound technical decisions around quality, safety, maintainability, and scalability in production AI systems
- Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders
- Experience defining technical direction for AI or machine learning systems across multiple projects or teams
- Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences
- Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs
- Experience with modern retrieval, grounding, or evaluation patterns for LLM applications
- Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
- Competitive Salaries
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
- Flexible PTO and competitive pay, because work-life balance matters
- RRSP/401k match and stock options to invest in your future
- Premium benefits package with customizable coverage, paramedical services, and an HSA.
- Fullscript discounts to save on high-quality wellness products
- Continuous learning opportunities to grow your skills and career
Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript’s total rewards package.
Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.
Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.
What to Know Before You Apply
We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at accommodations@fullscript.com.
All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
Ready to apply?
Apply to Fullscript
Lead Data Scientist
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We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.
This is your invitation.
Join us and shape the future of care.
We’re hiring a Lead Data Scientist to anchor one of the most important bets in our next chapter.
Fullscript is building intelligence trained on real-world functional outcomes. Not textbook data. Not controlled trials. Real longitudinal practitioner data layered with our own prescribing and lab history.
The hard part isn’t building models. It’s designing research that can credibly claim causality in messy, non-randomized healthcare data. Can we say that Protocol X led to Outcome Y, and stand behind it with confidence?
You’ll define how we approach causal research, set the methodological standard, and turn complex clinical data into insight the business can actually use. The output of this role will shape product direction, influence executive decisions, and determine whether this initiative becomes foundational to the company’s future. This is a high bar. We’re looking for someone who’s comfortable owning it.
- Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference
- Addressing confounding, selection bias, missingness, and other structural challenges in real-world healthcare data
- Extracting outcome intelligence from newly acquired longitudinal practitioner datasets
- Connecting prescribing patterns, lab data, and behavioral signals into coherent analytical narratives
- Establishing methodological standards that protect the integrity of our claims
- Translating complex statistical findings into clear implications for Product, Marketing, and executive stakeholders
- Leading and mentoring a small data team while remaining deeply hands-on in research and modeling
- Building repeatable research processes that can scale as new data flows in
- Advanced training in statistics, biostatistics, econometrics, or a related field with deep expertise in causal inference
- Demonstrated experience designing studies in observational healthcare data where randomization is not available
- Practical understanding of the pitfalls in real-world clinical datasets, including confounding variables, selection effects, and incomplete outcome signals
- Comfort working with messy inputs such as PDF labs, narrative notes, inconsistent schemas, and evolving data structures
- Strong Python proficiency and hands-on experience with statistical modeling libraries
- A track record of translating analytical insight into tangible business or product decisions
- Professional maturity and autonomy to run a high-visibility research function independently
- Experience leading or mentoring other data professionals while maintaining technical depth
- Competitive Salary ranges
- Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
- Flexible PTO and competitive pay, because work-life balance matters
- RRSP/401k match and stock options to invest in your future
- Premium benefits package with customizable coverage, paramedical services, and an HSA.
- Fullscript discounts to save on high-quality wellness products
- Continuous learning opportunities to grow your skills and career
Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript’s total rewards package.
Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.
Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.
What to Know Before You Apply
We’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at accommodations@fullscript.com.
All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.
We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.
Ready to apply?
Apply to Fullscript
Senior Digital Marketing Manager
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What You'll Do
What You'll Bring
Bonus Points
What we can offer you
A quick note: Due to the high volume of applications, we’re not able to respond to phone or email inquiries about application status. If there’s a match, our team will reach out directly.
Ready to apply?
Apply to Fullscript
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