

Lead Data Scientist
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 30, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
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π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - 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 youβre 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)
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 youβre 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)