

AI Lead – GenAI & Pharma Domain
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Lead – GenAI & Pharma Domain in Alameda, CA, offering a contract pay rate of $55-$65/hour. Requires 6+ years in AI/ML, 3+ years in pharma/healthcare, and expertise in LLMs, Python, and AWS AI/ML stack.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date discovered
July 2, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Alameda, CA 94501
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🧠 - Skills detailed
#Spark (Apache Spark) #AWS (Amazon Web Services) #Predictive Modeling #Programming #Data Privacy #MLflow #S3 (Amazon Simple Storage Service) #Athena #BI (Business Intelligence) #Storytelling #SageMaker #Hugging Face #PyTorch #Datasets #ML (Machine Learning) #Lambda (AWS Lambda) #Airflow #Plotly #Langchain #TensorFlow #Python #"ETL (Extract #Transform #Load)" #Pandas #Transformers #PySpark #NumPy #Data Analysis #AI (Artificial Intelligence) #FHIR (Fast Healthcare Interoperability Resources) #Tableau #Microsoft Power BI #SciPy #SQL (Structured Query Language)
Role description
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Job Title: AI Lead – GenAI & Pharma Domain
Location: Alameda, CA
Job Type: Full-Time / Contract
Work Model: Hybrid
Experience: Minimum 6 years in AI/ML, with strong healthcare or pharmaceutical domain expertise
Required Skills & Experience
6+ years in AI/ML, with at least 3+ years in pharma/healthcare domain.
Deep experience with LLMs (OpenAI GPT, Claude, Mistral, etc.), transformers, embedding models, and RAG-based systems.
Strong programming skills in Python and experience with SQL, OpenCypher, PySpark, and APIs for LLM integration.
Hands-on experience with AWS AI/ML stack: Bedrock, SageMaker, Neptune, EKS, S3, Lambda, Athena, Glue.
Proficient in data analysis, feature engineering, predictive modeling, statistical validation, and visual storytelling using tools like:
o Pandas, NumPy, SciPy, Scikit-learn
o LangChain, Haystack, Sentence Transformers o TensorFlow, PyTorch, Hugging Face o MLflow, Kubeflow, Airflow o Power BI / Tableau / Plotly for reporting Preferred
Qualifications
Experience with clinical trial data, RWE datasets, medical ontologies (e.g., SNOMED, MedDRA, HL7/FHIR).
Familiarity with data privacy, model governance, and regulatory frameworks in life sciences.
Strong communication skills with a proven ability to present complex models and findings to business stakeholders and non-technical audiences.
Experience in deploying chatbots, document classifiers, question-answering systems, and semantic search in production.
Thanks
Jay
628-215-2224
Job Types: Full-time, Contract
Pay: $55.00 - $65.00 per hour
Expected hours: No less than 40 per week
Schedule:
8 hour shift
Monday to Friday
Experience:
Generative AI: 6 years (Required)
AI/ML: 6 years (Required)
pharma/healthcare domain: 4 years (Required)
medical ontologies: 1 year (Required)
Ability to Commute:
Alameda, CA 94501 (Required)
Ability to Relocate:
Alameda, CA 94501: Relocate before starting work (Required)
Work Location: In person