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AI Health Care Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "AI Health Care Specialist" on a contract basis for over 6 months, offering a pay rate of $44,834.27 - $53,993.96 per year. Key skills include machine learning, big data technologies, SQL, and programming languages like Python and Java.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
245
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πŸ—“οΈ - Date
November 5, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Remote
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🧠 - Skills detailed
#Databases #ML (Machine Learning) #Data Integration #Supervised Learning #AI (Artificial Intelligence) #Big Data #Database Design #VBA (Visual Basic for Applications) #SQL (Structured Query Language) #Unsupervised Learning #Java #Looker #Programming #Datasets #Unix #"ETL (Extract #Transform #Load)" #Python #R #Storage #TensorFlow #Talend #Spark (Apache Spark) #Visualization #Deployment #Data Analysis #SAS #Monitoring #Data Mining #NLP (Natural Language Processing) #Hadoop #Model Deployment #Data Modeling #Bash
Role description
Job OverviewWe are seeking a dedicated and innovative Health Specialist to join our dynamic team. This role involves leveraging advanced data analytics, machine learning, and AI techniques to improve health outcomes and develop data-driven solutions. The ideal candidate will possess strong technical expertise, including experience with big data tools, programming languages, and health-related data modeling. This position offers an exciting opportunity to contribute to cutting-edge health initiatives through the application of sophisticated analytical frameworks and technologies. Responsibilities Develop and implement machine learning models using frameworks such as TensorFlow, Spark, and Hadoop to analyze complex health data sets. Design and optimize databases for efficient storage and retrieval of health information, utilizing skills in database design and SQL. Conduct data mining and natural language processing (NLP) to extract meaningful insights from unstructured health data sources. Build ETL pipelines with tools like Talend and Bash (Unix shell) to facilitate seamless data integration from multiple sources. Train, validate, and deploy models for predictive analytics, model training, and model deployment in real-world health applications. Collaborate with cross-functional teams to develop AI-driven solutions for health monitoring, diagnostics, or treatment recommendations. Utilize analytics platforms such as Looker for visualization and reporting of health data insights. Stay current with advancements in quantum engineering, big data technologies, and machine learning frameworks to enhance analytical capabilities. Skills Proficiency in programming languages including Python, Java, C, SAS, R, VBA, and Bash (Unix shell). Extensive experience with machine learning frameworks such as TensorFlow, Spark MLlib, and other AI tools. Strong knowledge of big data technologies like Hadoop, Spark, and Hadoop ecosystem components. Expertise in database design, SQL querying, data mining techniques, and natural language processing (NLP). Familiarity with ETL processes using Talend or similar tools for data integration workflows. Experience with model training, deployment strategies, and model management in production environments. Knowledge of analytics tools such as Looker for visualization purposes. Understanding of quantum engineering principles is a plus. Excellent problem-solving skills with the ability to analyze large datasets using unsupervised learning methods. Strong communication skills to effectively present findings and collaborate across teams. This Health Specialist role is ideal for candidates passionate about applying advanced technological solutions to improve healthcare systems through innovative data analysis techniques. Job Types: Full-time, Part-time, Contract, Temporary, Internship Pay: $44,834.27 - $53,993.96 per year Work Location: Remote