Lead Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist with 12+ years of experience in Clinical, Pharma, or Life Sciences. It offers a fully remote contract with a focus on AI/ML model development, proficiency in Python, and knowledge of GxP compliance.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Azure #TensorFlow #Data Science #GCP (Google Cloud Platform) #Python #AWS (Amazon Web Services) #Cloud #NLP (Natural Language Processing) #ML (Machine Learning) #PyTorch #AI (Artificial Intelligence) #R #Data Pipeline #CDISC (Clinical Data Interchange Standards Consortium) #Compliance #Deep Learning
Role description
Hi, Hope you are doing well, IMMEDIATE INTERVIEW :: Sr. Data Scientist + GenAI Consultants = FULLY REMOTE (Preferred in EST) Please find the Job details below and kindly revert if you’re interested in learning more about this job. Job Title: Sr. Data Scientist + GenAI Consultants (Preferred in EST) Location: FULLY REMOTE EXPERIENCE -12+ Please share profiles for below role on priority. Only share genuine Sr. profiles more than 12+ years experience only. Must have experience in Clinical, Pharma, Life Sciences domain Job Description: β€’ Having experience in developing and deploy AI/ML models, including GPT and other LLM-based solutions, for real-world applications in clinical and pharmaceutical domains β€’ Hands-on expertise with GPT models, LLM fine-tuning, and prompt engineering. β€’ Build data pipelines, perform feature engineering, and ensure model performance and compliance with industry standards. β€’ Stay updated on GenAI trends, regulatory guidelines, and best practices in life sciences AI applications β€’ Strong experience in Data Science and Machine Learning, including NLP and deep learning. β€’ Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, or GCP). β€’ Experience in AI-enabled application development and deploying models in production environments. β€’ Familiarity with clinical research processes, controlled documents, and regulatory compliance. β€’ Excellent problem-solving and communication skills. β€’ Background in Clinical and Pharmaceutical R&D or life sciences. β€’ Knowledge of GxP compliance, FDA/EMA guidelines, and clinical data standards (CDISC, SDTM)