Sas programmer Jobs

ML Engineer-Data Science
Clinvia LLC —Remote
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
3d
Statistical Analyst
Tata Consultancy Services —Mumbai, Maharashtra
- Computer Science
- B.Sc
- Master's degree
2d
Biostatistical Programming Senior Associate
Amgen —Hyderabad, Telangana
- B.Sc
- English
- Master's degree
Programming Manager
GlaxoSmithKline —Bengaluru, Karnataka
- Full-time
- Computer Science
- Data analysis skills
- Project management
3d
Senior Statistical Programmer II
ICON Plc —Bengaluru, Karnataka
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
- Health insurance
Senior Manager-Statistical Programming
Tata Consultancy Services —Mumbai, Maharashtra
- Computer Science
- B.Sc
- Master's degree
2d
Lead statistical Analyst
Tata Consultancy Services —Mumbai, Maharashtra
- B.Sc
- Master's degree
- Bachelor's degree
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Senior Biostatistician, Global Quality, Regulatory, Clinical Affairs
Cepheid —Bengaluru, Karnataka
- Full-time
- Doctoral degree
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Principal Statistical Programmer FSP
Cytel Inc —India
- Full-time
- Remote
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Business Analysts
Triumphant ITCS —India
- Computer Science
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Virtual Career Info Session for Medpace Mumbai - SAS Programmer
Medpace, Inc. —Navi Mumbai, Maharashtra
- Full-time
- Remote
- English
- Master's degree
- Bachelor's degree
- Paid time off
1h
Statistical Programmer II
AstraZeneca —Bengaluru, Karnataka
- Full-time
- Communication skills
- Python
1d
Statistical Programmer II
AstraZeneca —Bengaluru, Karnataka
- Full-time
- Communication skills
- Python
1d

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ML Engineer-Data Science

Clinvia LLC
Remote

Quick apply

Job details

Contractual / Temporary
3 days ago

Qualifications

Azure
Statistics
Law
Computer Science
SAS
R
Master's degree
SQL
AWS
Analysis skills
Bachelor's degree
Machine learning
Software development
Data science
AI
Python
Data Science
Analytics

Full job description

ML Engineer – Data Science

Job Summary

We are seeking an ML engineer with experience in developing and deploying AI-powered agents for Dats Science and Statistical Programming environment in CRO/Pharma or Biotech industry. The ideal candidate will combine expertise in Large Language Models (LLMs), and statistical programming to automate clinical trial workflows, improve operational efficiency, and support data-driven decision-making.

Key Responsibilities

Design and develop AI Agents and AI Copilots for Statistical Programming, and Biostatistics functions.
Build intelligent workflows to automate SAS programming, clinical reporting, data validation, and documentation tasks.
Develop and integrate LLM-based solutions to assist programmers in code generation, review, debugging, and optimization.
Collaborate with Data Science team and Business Stakeholders to gather requirements.
Create AI solutions for SDTM, ADaM, TLF generation, clinical study reports, and regulatory submission support.
Develop Retrieval-Augmented Generation (RAG) systems using clinical and regulatory knowledge repositories.
Integrate AI agents with SAS, Python, clinical databases, and enterprise applications.
Ensure compliance with GxP, FDA, EMA, and data privacy regulations.
Monitor, evaluate, and improve AI agent performance, accuracy, and reliability.
Prepare technical documentation, validation plans, and deployment artifacts.

Required Qualifications

Bachelor's or Master's degree in Statistics, Computer Science, Data Science, Statistics or a related field.
3+ years of experience in AI/ML development, software development, or pharmaceutical analytics.
Strong programming skills in Python.
Working knowledge of SAS Programming
Experience with Large Language Models (LLMs), Generative AI, and AI Agent frameworks.
Knowledge of prompt engineering, RAG architecture, vector databases, and AI orchestration frameworks.
Strong analytical and problem-solving skills.

Preferred Qualifications

Exposure to Biostatistics and Statistical Programming projects.
Experience with AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Familiarity with MLOps and AI governance practices.

Experience:

ML Engineering: 3 years (Preferred)

Work Location: Remote

Quick apply

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