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Machine Learning Specialist

3 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Machine Learning Specialist – Clinical Supply Chain

Location:

HYDERABAD

Department:

Data Science / Clinical Operations / Supply Chain

About The Role

We are seeking a highly skilled and motivated

Machine Learning Specialist

with a strong background in data science and a deep understanding of

clinical supply chain operations

. This role will be instrumental in developing predictive models, optimizing logistics, and driving data-driven decision-making across our clinical trial supply chain.

Key Responsibilities

  • Design, develop, and deploy machine learning models to forecast clinical supply needs, optimize inventory, and reduce waste.
  • Collaborate with clinical operations, supply chain, and IT teams to identify data sources and integrate ML solutions into existing workflows.
  • Analyze large datasets from clinical trials, logistics systems, and external sources to uncover trends and actionable insights.
  • Develop tools and dashboards to support real-time decision-making and scenario planning.
  • Ensure model performance, scalability, and compliance with regulatory standards (e.g., GxP, 21 CFR Part 11).
  • Stay current with advancements in ML/AI and apply best practices to clinical supply chain challenges.

Qualifications

  • Master’s or PhD in Computer Science, Data Science, Engineering, or a related field.
  • 3+ years of experience in machine learning, data science, or AI, preferably in a healthcare or life sciences setting.
  • Hands-on experience with clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning.
  • Proficiency in Python, R, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong understanding of statistical modeling, time series forecasting, and optimization techniques.
  • Excellent communication skills and ability to work cross-functionally in a fast-paced environment.

Preferred

  • Experience with clinical trial data (e.g., EDC, CTMS, IRT).
  • Familiarity with regulatory requirements in clinical research.
  • Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.
Skills: sql,r,statistical modeling,python,ml frameworks,machine learning,time series forecasting,tensorflow,clinical supply chain,optimization techniques,data science

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