Overview
On Site
Hybrid
BASED ON EXPERIENCE
Full Time
Contract - Independent
Contract - W2
Contract - 6+ mo(s)
Skills
Analytical Skill
Innovation
Collaboration
Marketing
Analytics
Return On Investment
Generative Artificial Intelligence (AI)
Regulatory Compliance
Sales
Forecasting
Resource Allocation
Strategy Development
Productivity
Lead Generation
Algorithms
Pharmacy
Data Science
Advanced Analytics
Pharmaceutics
Health Care
Management
Unsupervised Learning
Regression Analysis
Clustering
A/B Testing
Optimization
Python
R
SQL
Snow Flake Schema
SANS
Job Details
Pay: $77.00 Hourly (W2 Only)
We are a national staffing firm and are currently seeking a --- for a prominent client of ours. Details for the position are as follows:
Job Description: $77 Hourly (W2 Only)
- Key contributor to our U.S. Data Science team, developing advanced analytic solutions that drive strategic initiatives across Marketing, Sales, Access, and Digital. This role is ideal for a hands-on data scientist who thrives at the intersection of analytics, commercial strategy, and healthcare innovation.
- Someone who can build robust models, translate data into action, and collaborate with cross-functional partners to influence decisions.
- You'll design and deploy Marketing Mix Models (MMM), develop predictive and patient-level analytics, measure digital ROI, and apply generative AI to commercial challenges - all while working with unique biopharma datasets and within a compliance-driven environment.
- Independently design, build, and deploy predictive models for HCP targeting, patient initiation/adherence, sales forecasting, and resource allocation.
- Lead Next Best Action (NBA) strategy development to improve HCP engagement, field force productivity, and tailored omnichannel experiences.
- Develop and productionize Patient 360 models and lead generation algorithms using patient-level, market, and specialty pharmacy data.
- Bachelor s degree and 7+ years of hands-on experience in data science or advanced analytics, preferably in pharmaceutical, biotech, or healthcare.
- Strong knowledge of supervised/unsupervised learning, regression, clustering, A/B testing, and optimization.
- Proficiency in Python, R, SQL and experience with data platforms such as Snowflake.
- Hybrid 3 days' work in office
If you are interested in hearing more about the position please respond to this posting with your resume attached or contact me at
#LI-TG1
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