USA-Data Scientist II (Clinical)
Cambridge, MA 02141
11 Months, Contract
Job Summary
- Job Title:
- USA-Data Scientist II (Clinical)
- Posted Date:
- Apr 15, 2025
- Duration:
- 11 Months, Contract
- Shift(s):
-
09:00 AM - 06:00 PM
- Pay Rate:
- 100.74 US /Hourly (compensation based on experience and qualifications)
Talk To Our Account Manager
- Name:
- Divya Bhatt
- Email:
- divyab@rangam.com
- Phone:
- 848-365-6194
Description
2 Roles REMOTE Location: CST or EST timezone (required) Experience Level: • PhD with 2+ years analytical experience OR • Master’s with 4+ years analytical experience Commitment: Full-time only, no conflicting employment ________________________________________ Key Responsibilities & Requirements: • Hands-on GenAI/ML modeling with complex datasets; strong theoretical foundation in AI/ML • Expertise in: o Supervised/unsupervised learning o Deep learning, reinforcement learning, federated learning o 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: o Python (required), R (nice to have), Scala (bonus) o 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 o Experience in life sciences or healthcare o Experience in global, complex organizations o Exposure to tools like DataRobot, Dataiku, Alteryx