Salary
$1k–$1k
Posted
2h ago
Source
himalayas
This is a remote position.
Our client, a world leader in biotechnology and life sciences, is seeking a "Senior Data Scientist / Architect (Fully Remote)".
Duration:Long-Term Contract (Possibility Of Further Extension)
Pay Rate: $95-$102/hr on W2 (DOE)
Company Benefits: Medical, Dental, Vision, Paid Sick Leave, 401K
Job Summary:
This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Next Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness.
The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions.
Responsibilities
- Build predictive models for patient events and HCP engagement
- Scale Next Best Action (NBA) solutions across brands and channels
- Develop GenAI agents, RAG workflows, and AI-powered decision tools
- Build and maintain end‑to‑end ML pipelines (Databricks, AWS/Azure ML)
- Apply MLOps best practices: model versioning, monitoring, CI/CD
- Work with healthcare datasets (claims, EHR, CRM, digital engagement)
- Partner with Sales, Marketing, and Analytics to deliver insights
Required Skills / Qualification
- Master’s or PhD in a quantitative field
- 5–7+ years in data science/ML (pharma commercial preferred)
- Strong Python, SQL, ML modeling, NLP
- Experience with LLMs, GenAI frameworks, LangChain/AutoGen
- Hands‑on with Databricks, AWS/Azure ML, MLOps
If interested, please share your updated resume at hr@dawarconsulting.com/lakshmi@dawarconsulting.com
Salary in context
This salary range is below the typical band for remote Engineering roles at senior level — comparable roles on RemoteTide top out closer to $176k.
Before you apply
- Confirm async-friendly culture vs daily standup-heavy expectations
- Ask about on-call rotation and incident expectations
- Check the tech stack matches what you actually want to use day-to-day
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