Data Scientist (Patient Experience & Quality Improvement)

Title: Data Scientist(Healthcare Experience)

Location: NC(Remote)

Duration: Long term

Contract: W2/C2C

Mandatory Skills: Patient Care Analytics Experience, NLP

Job Responsibilities:

• Data Analysis and Statistics:

  • Proficiency in statistical analysis and hypothesis testing.
  • Strong skills in data cleaning, preprocessing, and exploratory data analysis (EDA).
  • Experience with tools and programming languages such as Python, R, or SQL.

• Machine Learning:

  • Knowledge of machine learning algorithms and techniques.
  • Experience in developing predictive models for healthcare applications, such as disease prediction, patient outcomes, or personalized medicine.
  • Familiarity with machine learning libraries and frameworks, such as scikit-learn, TensorFlow, or PyTorch.

• Healthcare Domain Knowledge:

  • Understanding of healthcare data sources, including electronic health records (EHR), medical imaging data, and health insurance claims.
  • Knowledge of healthcare regulations, privacy issues, and ethical considerations, such as HIPAA compliance.

• Clinical and Medical Understanding:

  • Familiarity with medical terminology and clinical workflows.
  • Ability to collaborate with healthcare professionals to translate data insights into actionable recommendations for patient care.

• Big Data Technologies:

  • Experience with big data technologies for handling and processing large healthcare datasets, such as Apache Hadoop and Spark.

• Data Visualization:

  • Proficiency in creating meaningful and interpretable visualizations to communicate insights to both technical and non-technical stakeholders.
  • Knowledge of visualization tools like Tableau or Matplotlib.

• Natural Language Processing (NLP):

  • Skills in processing and analyzing unstructured healthcare data, such as clinical notes or research articles, using NLP techniques.

• Ethics and Privacy:

  • Understanding of ethical considerations related to handling sensitive healthcare data and ensuring patient privacy.

• Collaboration and Communication:

  • Strong communication skills to collaborate with interdisciplinary teams, including healthcare professionals, IT professionals, and executives.

• Continuous Learning:

  • Awareness of emerging trends and technologies in both data science and healthcare to stay updated and adapt to evolving challenges.

Thanks & Regards

Shankar, US IT Recruiter

ChabezTech LLC |

4 Lemoyne Dr #102, Lemoyne, PA 17043, USA

Email: shankar(at)chabeztech.com | www.chabeztech.com

Title: Data Scientist(Healthcare Experience)

Location: NC(Remote)

Duration: Long term

Contract: W2/C2C

Mandatory Skills: Patient Care Analytics Experience, NLP

Job Responsibilities:

• Data Analysis and Statistics:

  • Proficiency in statistical analysis and hypothesis testing.
  • Strong skills in data cleaning, preprocessing, and exploratory data analysis (EDA).
  • Experience with tools and programming languages such as Python, R, or SQL.

• Machine Learning:

  • Knowledge of machine learning algorithms and techniques.
  • Experience in developing predictive models for healthcare applications, such as disease prediction, patient outcomes, or personalized medicine.
  • Familiarity with machine learning libraries and frameworks, such as scikit-learn, TensorFlow, or PyTorch.

• Healthcare Domain Knowledge:

  • Understanding of healthcare data sources, including electronic health records (EHR), medical imaging data, and health insurance claims.
  • Knowledge of healthcare regulations, privacy issues, and ethical considerations, such as HIPAA compliance.

• Clinical and Medical Understanding:

  • Familiarity with medical terminology and clinical workflows.
  • Ability to collaborate with healthcare professionals to translate data insights into actionable recommendations for patient care.

• Big Data Technologies:

  • Experience with big data technologies for handling and processing large healthcare datasets, such as Apache Hadoop and Spark.

• Data Visualization:

  • Proficiency in creating meaningful and interpretable visualizations to communicate insights to both technical and non-technical stakeholders.
  • Knowledge of visualization tools like Tableau or Matplotlib.

• Natural Language Processing (NLP):

  • Skills in processing and analyzing unstructured healthcare data, such as clinical notes or research articles, using NLP techniques.

• Ethics and Privacy:

  • Understanding of ethical considerations related to handling sensitive healthcare data and ensuring patient privacy.

• Collaboration and Communication:

  • Strong communication skills to collaborate with interdisciplinary teams, including healthcare professionals, IT professionals, and executives.

• Continuous Learning:

  • Awareness of emerging trends and technologies in both data science and healthcare to stay updated and adapt to evolving challenges.

Thanks & Regards

Shankar, US IT Recruiter

ChabezTech LLC |

4 Lemoyne Dr #102, Lemoyne, PA 17043, USA

Email: shankar(at)chabeztech.com | www.chabeztech.com

Title: Data Scientist(Healthcare Experience)

Location: NC(Remote)

Duration: Long term

Contract: W2/C2C

Mandatory Skills: Patient Care Analytics Experience, NLP

Job Responsibilities:

• Data Analysis and Statistics:

  • Proficiency in statistical analysis and hypothesis testing.
  • Strong skills in data cleaning, preprocessing, and exploratory data analysis (EDA).
  • Experience with tools and programming languages such as Python, R, or SQL.

• Machine Learning:

  • Knowledge of machine learning algorithms and techniques.
  • Experience in developing predictive models for healthcare applications, such as disease prediction, patient outcomes, or personalized medicine.
  • Familiarity with machine learning libraries and frameworks, such as scikit-learn, TensorFlow, or PyTorch.

• Healthcare Domain Knowledge:

  • Understanding of healthcare data sources, including electronic health records (EHR), medical imaging data, and health insurance claims.
  • Knowledge of healthcare regulations, privacy issues, and ethical considerations, such as HIPAA compliance.

• Clinical and Medical Understanding:

  • Familiarity with medical terminology and clinical workflows.
  • Ability to collaborate with healthcare professionals to translate data insights into actionable recommendations for patient care.

• Big Data Technologies:

  • Experience with big data technologies for handling and processing large healthcare datasets, such as Apache Hadoop and Spark.

• Data Visualization:

  • Proficiency in creating meaningful and interpretable visualizations to communicate insights to both technical and non-technical stakeholders.
  • Knowledge of visualization tools like Tableau or Matplotlib.

• Natural Language Processing (NLP):

  • Skills in processing and analyzing unstructured healthcare data, such as clinical notes or research articles, using NLP techniques.

• Ethics and Privacy:

  • Understanding of ethical considerations related to handling sensitive healthcare data and ensuring patient privacy.

• Collaboration and Communication:

  • Strong communication skills to collaborate with interdisciplinary teams, including healthcare professionals, IT professionals, and executives.

• Continuous Learning:

  • Awareness of emerging trends and technologies in both data science and healthcare to stay updated and adapt to evolving challenges.

Thanks & Regards

Shankar, US IT Recruiter

ChabezTech LLC |

4 Lemoyne Dr #102, Lemoyne, PA 17043, USA

Email: shankar(at)chabeztech.com | www.chabeztech.com

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