USA - Data Scientist II (Clinical) (contract)

卡湯晩; Cambridge (MA); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company in the pharma sector is seeking a Data Scientist II for a remote 11-month contract. Candidates should have a strong background in AI/ML models, ideally with a PhD or Master's degree, coupled with relevant hands-on experience. Responsibilities include developing and deploying complex data solutions in a collaborative environment. The role requires proficiency in Python, analytical skills, and the ability to communicate complex technical concepts effectively.

Qualifications

• PhD with 2+ years analytical experience or Master's with 4+ years.
• Strong Python coding and cloud environment experience required.
• Experience with CI/CD and AI/ML pipeline development.

Responsibilities

• Hands-on GenAI/ML modeling with complex datasets.
• Develop and deploy code in agile, AI product-focused teams.
• Simplify technical concepts for business stakeholders.

Skills

Python

Data Visualization

Communication

GenAI/ML Modeling

Team Collaboration

Education

PhD in a related field

Master's in a related field

Tools

Tableau

Power BI

AWS

GCP

DataRobot

Dataiku

Job description

Sanofi's contingent workforce program, FLEXT Direct, is seeking a Data Scientist II for a REMOTE 11-month contract.

Experience Level

• PhD with 2+ years analytical experience OR
• Master’s with 4+ years analytical experience
  
  
  

Key Responsibilities & Requirements

• Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML
• Expertise in:
• Supervised/unsupervised learning
• Deep learning, reinforcement learning, federated learning
• Time series analysis, optimization, Generative AI
• Strong Python coding (functions, classes); production-ready software development
• Experience developing and deploying code in agile, AI product-focused teams
• Comfortable working in cloud/HPC environments (AWS, GCP, Databricks, Apache Spark)
• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
• Proficient with:
• Python (required), R (nice to have), Scala (bonus)
• SQL/NoSQL, Snowflake, cloud databases
• Excellent communication, data visualization, and storytelling skills
• Skilled in simplifying technical concepts for business stakeholders
• Team-oriented with ability to manage multiple priorities in fast-paced environments
• Familiarity with Tableau, Power BI, Plotly, Git/version control, APIs
  
  
  

Required

• Experience with CI/CD, orchestration for AI/ML (Machine Learning) pipeline development
• Python (required)
• Minimum 2-4 years of experience depending on education level (refer to JD) - experience is not required in pharma/ biotech, will consider other industries, Google, etc.
  
  
  

Nice To Have/ Preferred Skills

• Proficiency in R or Scala
• Experience in life sciences or healthcare
• Experience in global, complex organizations
• Exposure to tools like DataRobot, Dataiku, Alteryx