Data Scientist
Experience: 7 Years Location: Chicago IL What is in it for you As a Data Scientist Clinical NLP & AI you will be part of an agile team focused on building intelligent healthcare solutions by developing advanced NLP modules integrating LLMs and agentic workflows and leveraging AWS big data technologies to enhance clinical data processing and usability.
Responsibilities: -
Proficient developer in multiple languages Python is a must with the ability to quickly learn new ones.
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Expertise in SQL (complex queries relational databases preferably PostgreSQL and NoSQL databases - Redis and Elasticsearch).
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Extensive big data experience including EMR Spark Kafka/Kinesis and optimizing data pipelines architectures and datasets.
-
AWS expert with hands-on experience in Lambda Glue Athena Kinesis IAM EMR/PySpark Docker.
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Proficient in CI/CD development using Git Terraform and agile methodologies.
-
Comfortable with stream-processing systems (Storm Spark-Streaming) and workflow management tools (Airflow).
-
Exposure to knowledge graph technologies (Graph DB OWL SPARQL) is a plus.
-
Experience in Machine Learning Frameworks: TensorFlow PyTorch Scikit-learn XGBoost.
-
Experience in model deployment - Flask FastAPI Docker Kubernetes TensorFlow Serving TorchServe.
Skills: Mandatory skills -
Proficient developer in multiple languages Python is a must with the ability to quickly learn new ones.
-
Expertise in SQL (complex queries relational databases preferably PostgreSQL and NoSQL databases - Redis and Elasticsearch).
-
Extensive big data experience including EMR Spark Kafka/Kinesis and optimizing data pipelines architectures and datasets.
-
AWS expert with hands-on experience in Lambda Glue Athena Kinesis IAM EMR/PySpark Docker.
-
Proficient in CI/CD development using Git Terraform and agile methodologies.
-
Comfortable with stream-processing systems (Storm Spark-Streaming) and workflow management tools (Airflow).
-
Exposure to knowledge graph technologies (Graph DB OWL SPARQL) is a plus.
-
Experience in Machine Learning Frameworks: TensorFlow PyTorch Scikit-learn XGBoost.
-
Experience in model deployment - Flask FastAPI Docker Kubernetes TensorFlow Serving TorchServe.
Good to have skills -
Familiarity with generative AI applications in healthcare and related use cases.
-
Understanding of healthcare data standards and terminologies such as HL7 FHIR and CCDA.
-
Experience in creating detailed documentation user manuals and technical specifications.
-
Background in automated testing and validation frameworks for NLP outputs.
-
Ability to collaborate effectively with cross-functional teams including engineering and products.
-
Exposure to LangChain or similar frameworks for building intelligent agent workflows.
Educational Qualifications: Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Data Scientist Experience: 7 Years Location: Chicago IL What is in it for you As a Data Scientist Clinical NLP & AI you will be part of an agile team focused on building intelligent healthcare solutions by developing advanced NLP modules integrating LLMs and agentic workflows and leverag...
Data Scientist
Experience: 7 Years Location: Chicago IL What is in it for you As a Data Scientist Clinical NLP & AI you will be part of an agile team focused on building intelligent healthcare solutions by developing advanced NLP modules integrating LLMs and agentic workflows and leveraging AWS big data technologies to enhance clinical data processing and usability.
Responsibilities: -
Proficient developer in multiple languages Python is a must with the ability to quickly learn new ones.
-
Expertise in SQL (complex queries relational databases preferably PostgreSQL and NoSQL databases - Redis and Elasticsearch).
-
Extensive big data experience including EMR Spark Kafka/Kinesis and optimizing data pipelines architectures and datasets.
-
AWS expert with hands-on experience in Lambda Glue Athena Kinesis IAM EMR/PySpark Docker.
-
Proficient in CI/CD development using Git Terraform and agile methodologies.
-
Comfortable with stream-processing systems (Storm Spark-Streaming) and workflow management tools (Airflow).
-
Exposure to knowledge graph technologies (Graph DB OWL SPARQL) is a plus.
-
Experience in Machine Learning Frameworks: TensorFlow PyTorch Scikit-learn XGBoost.
-
Experience in model deployment - Flask FastAPI Docker Kubernetes TensorFlow Serving TorchServe.
Skills: Mandatory skills -
Proficient developer in multiple languages Python is a must with the ability to quickly learn new ones.
-
Expertise in SQL (complex queries relational databases preferably PostgreSQL and NoSQL databases - Redis and Elasticsearch).
-
Extensive big data experience including EMR Spark Kafka/Kinesis and optimizing data pipelines architectures and datasets.
-
AWS expert with hands-on experience in Lambda Glue Athena Kinesis IAM EMR/PySpark Docker.
-
Proficient in CI/CD development using Git Terraform and agile methodologies.
-
Comfortable with stream-processing systems (Storm Spark-Streaming) and workflow management tools (Airflow).
-
Exposure to knowledge graph technologies (Graph DB OWL SPARQL) is a plus.
-
Experience in Machine Learning Frameworks: TensorFlow PyTorch Scikit-learn XGBoost.
-
Experience in model deployment - Flask FastAPI Docker Kubernetes TensorFlow Serving TorchServe.
Good to have skills -
Familiarity with generative AI applications in healthcare and related use cases.
-
Understanding of healthcare data standards and terminologies such as HL7 FHIR and CCDA.
-
Experience in creating detailed documentation user manuals and technical specifications.
-
Background in automated testing and validation frameworks for NLP outputs.
-
Ability to collaborate effectively with cross-functional teams including engineering and products.
-
Exposure to LangChain or similar frameworks for building intelligent agent workflows.
Educational Qualifications: Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
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