ODAIA helps pharma commercial teams cut through fragmented data to find the opportunity they're missing — the HCPs worth prioritizing, the channels worth investing in, and the moments that matter across the patient journey. Field Intelligence, Marketing Intelligence, and Omnichannel bring this together in one platform, turning HCP and patient signals into real-time guidance that reps, marketers, and brand teams can act on directly within the systems they already use…
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Turning HCP and patient signals into the actions pharma commercial teams take next.
Description complète de l’entreprise
ODAIA helps pharma commercial teams cut through fragmented data to find the opportunity they're missing — the HCPs worth prioritizing, the channels worth investing in, and the moments that matter across the patient journey.
Field Intelligence, Marketing Intelligence, and Omnichannel bring this together in one platform, turning HCP and patient signals into real-time guidance that reps, marketers, and brand teams can act on directly within the systems they already use.
Leading biopharmaceutical companies — including four of the top 15 global organizations, use ODAIA to move from static targeting to dynamic, signal-based decision-making, adapting strategy as markets shift and driving measurable results in HCP prioritization, pre-call planning, and commercial ROI.
The end goal isn't more activity — it's getting patients to the right treatment sooner. Everything ODAIA does is built around that.
Abonnés LinkedIn
23 221
Personnes associées sur LinkedIn
110
Bureaux déclarés
150 King Street West, Suite 702, Toronto, ON M5H 1J9, CA
359 Newbury Street, Suite 500, Boston, MA 02115, US
Catégories d’activité
Artificial Intelligence
Software
Biotechnology
Artificial Intelligence (AI)
Machine Learning
Autres noms enregistrés
Odaia Intelligence Inc.
ODAIA
Spécialités
pharma sales
artificial intelligence
sales automation
saas
Customer Science
AI
ML
HCP Engagement
Pharma Actionable Insights
HCP Targeting
Predictive Analytics
Commercial Pharma
Customer Experience
Pharma Innovation
and Machine Learning
Le profil indique une agence de recrutement
Non
Investissement total déclaré
43 350 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
3+ ansCandidates need 3+ years of professional software development experience across frontend and backend, with strong React and TypeScript skills. They must have hands-on experience using coding agents as a primary way of building, and be able to communicate trade-offs clearly.
Claude Code, React, TypeScript, Python, AWS, Kubernetes
6+ ansCandidates need 6+ years of professional software development experience, deep React and TypeScript skills, and extensive experience running backend APIs in production. They must also show hands-on use of AI coding agents, a record of mentoring engineers, and clear communication with technical and non-technical stakeholders.
6+ ansCandidates need 6+ years of data migration and ETL experience, 6+ years with Snowflake and AWS, and strong Python and SQL skills. Life sciences or pharma experience, with tools like Veeva Vault or Salesforce, is a strong asset.
3+ ansCandidates need at least 3 years of data migration and ETL experience and 3 years with Snowflake and AWS or similar cloud data tools. Strong Python and SQL skills, API experience, and clear communication with technical and non-technical people are required; life sciences experience is an asset.