Data Engineer, ODAIA
AI-powered intelligence for pharma commerical teams
Be an early applicant
AI-powered intelligence for pharma commerical teams
101-200 employees
Be an early applicant
101-200 employees
Company mission
To reduce patients time to therapy by enabling meaningful interactions with healthcare providers, powered by AI-driven, human-centric software.
Role
Who you are
- 3+ years in data engineering, building production grade data pipelines
- Strong experience with AWS (ECS, S3, Lambda, DynamoDB, API Gateway, etc.) and Snowflake
- Experience with Dagster or Airflow for orchestration and workflow management
- Strong programming proficiency in Python
- Experience building and optimizing complex data models utilizing DBT with a strong understanding of ETL processes
- Solid understanding of data structures, algorithms, and database design, with expertise in performant SQL schema and query development
- Familiarity with CI/CD and Test Driven Development in a production environment
- Experience integrating with CRM systems (Veeva, Salesforce) and handling healthcare, pharmaceutical, or pharmacy-related datasets is a strong asset
- Solid, demonstrated experience in AWS stack or an equivalent cloud platform
- Background in modernizing data environments, migrating from legacy systems to cloud-native architectures
- Collaborative and self-directed, able to manage projects independently, prioritize effectively, and adapt quickly to changing business needs
- Excellent communication skills, capable of translating complex technical concepts for both technical and non-technical stakeholders
What the job involves
- Reporting to the Manager, Data Engineering and as a member of the Data Management team, the Data Engineer is passionate, curious and motivated to design and implement scalable solutions end-to-end.
- This high-impact position focuses on key aspects of data management including fast and efficient data onboarding, and the initial bring up of customer data into our system
- Build scalable data infrastructure to support customer onboarding and implementation, enabling fast and efficient ingestion of customer data into ODAIA’s platform
- Design and ship Claude-powered tools that reduce mean time to resolution (MTTR) for production incidents by automating error triage and fix proposals
- Design and develop automation tools that streamline how implementation consultants configure and ingest new customer datasets
- Solve complex data challenges by defining, prototyping, and implementing end-to-end data solutions in agile startup environment
- Serve as a subject matter expert to internal teams and customers on data integration, architecture, and management best practices
- Implement scalable ingestion pipelines leveraging AWS tools and services to manage high-volume customer data
- Develop integrations with Veeva/Salesforce and other third-party data sources; contribute to proof-of-concept builds and internal applications
- Design APIs and data models that enable internal data access and cross-system interoperability
- Explore and onboard new data sources, designing warehouse schemas that improve analytics and product capabilities
- Collaborate cross-functionally with product and engineering teams to align data systems with strategic objectives
Our take
ODAIA have been growing fast in recent years. The company began in the University of Toronto with an intensive period of R&D in AI, journey mapping, and process mining. From there, the ODAIA commercial insights platform for the pharmaceuticals industry was born. Its MAPTUAL solution uses AI and predictive analytics on a vast spread of data to segment and target physicians, thereby driving up customer engagement.
Its rapid growth can be put down, in part, to a widespread shift in the way healthcare providers (HCPs) interact with Pharma, precipitated by the COVID pandemic. With on-site visits restricted, pharma reps needed to seek out different ways of forging meaningful client connections. What we’re seeing now is pharma messaging developing into more detailed, tailored forms of HCP support. As we’ve seen with marketing more generally, big data analytics is a phenomenally powerful tool for maintaining this competitive, tailored edge and funding awarded in 2023 proves that ODAIA's AI is being tipped as a solution for the "bottleneck" in pharma delivery and testing.
This means that ODAIA is blazing what is likely to prove an impressive trail in the new model of Pharma/HCP relations. Offering a more streamlined, modern method of targeting and value production, ODAIA is likely to prove an increasingly crucial player going forward in a highly lucrative market.
Steph
Company Specialist at Welcome to the Jungle
Insights
49% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2023
$25m
SERIES B
Feb 2022
$13.8m
SERIES A
Total funding: $43.4m
Company benefits
- Flexible Working Hours: We focus on what we achieve and not the number of hours we clock. We trust our employees and empower them to shape their work themselves so that they can achieve the best possible results
- Remote Work: We are a remote-first company with plans for in-person collaborative work sessions post-covid. We leverage many synchronous and asynchronous communication tools as well
- Flex Vacation Policy: Our employees can take time off whenever they want - as long as they get their work done, get the time approved, and get things covered while they're away. One of our core values is trusting and respecting each other.
- Leadership Opportunities: If you’re willing to invest in yourself, we’re willing to invest in you! As a fast growing company, there's lots of opportunity for career advancement and personal development.
- Health Benefits: We offer top-notch health benefits for medical, dental, vision care, prescription drug coverage, travel insurance and alternative treatments such as acupuncture and chiropractic services.
Company HQ
Financial District, Toronto, ON
Leadership
Philip Poulidis
(Co-Founder & CEO)Veteran public company executive leader, board member, and startup CEO with experience in the IoT, Semiconductor, Digital Health, and Enterprise SaaS markets.
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