

Programming.com
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (Machine Learning) with 4+ years of experience in Data Science, preferably in Pharma/Healthcare. Contract length is unspecified, W2 only, and remote during US Eastern Time. Key skills include Python/R, ML, and Clinical Data.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Engineering #Scala #R #Spark (Apache Spark) #ML (Machine Learning) #Datasets #Data Science #Cloud #Python #Data Pipeline
Role description
Hiring: Senior Data Scientist (Machine Learning) – Clinical Analytics
Remote (must be available during US Eastern Time business hours)
W2 Only
We are looking for a Senior Data Scientist with strong Machine Learning and Clinical Analytics experience to join our Advanced Analytics team supporting clinical research and development.
🔹 Key Skills:
Python/R, Machine Learning, Statistical Modeling, Clinical Data, Spark/Cloud, Data Engineering
🔹 What You’ll Do:
• Lead end-to-end analytics for clinical studies
• Build and deploy ML/statistical models
• Work with clinical & pharmacology data
• Develop data pipelines & scalable solutions
• Partner with cross-functional stakeholders
🔹 Requirements:
• 4+ years of experience in Data Science (Pharma/Healthcare preferred)
• Strong ML + statistical background
• Experience with large datasets in cloud environments
• Excellent communication & stakeholder management
Hiring: Senior Data Scientist (Machine Learning) – Clinical Analytics
Remote (must be available during US Eastern Time business hours)
W2 Only
We are looking for a Senior Data Scientist with strong Machine Learning and Clinical Analytics experience to join our Advanced Analytics team supporting clinical research and development.
🔹 Key Skills:
Python/R, Machine Learning, Statistical Modeling, Clinical Data, Spark/Cloud, Data Engineering
🔹 What You’ll Do:
• Lead end-to-end analytics for clinical studies
• Build and deploy ML/statistical models
• Work with clinical & pharmacology data
• Develop data pipelines & scalable solutions
• Partner with cross-functional stakeholders
🔹 Requirements:
• 4+ years of experience in Data Science (Pharma/Healthcare preferred)
• Strong ML + statistical background
• Experience with large datasets in cloud environments
• Excellent communication & stakeholder management





