Data Science ML Engineer Healthcare

Summary: The role of Data Science/ML Engineer in the healthcare sector involves utilizing advanced data science techniques and machine learning algorithms to improve healthcare outcomes. The position requires extensive experience in programming and data manipulation, specifically in Python and SQL, along with familiarity with healthcare data standards. This is a remote position, allowing for flexibility in work arrangements. The role is classified as outside IR35, indicating a favorable tax status for contractors.

Key Responsibilities:

• Develop and implement machine learning models for healthcare applications.
• Utilize programming languages such as Python and SQL for data analysis and manipulation.
• Work with libraries and frameworks like scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Ensure compliance with healthcare data standards such as FHIR and HL7.
• Collaborate with cross-functional teams to enhance data-driven decision-making in healthcare.

Key Skills:

• Proficiency in Python and SQL.
• Experience with machine learning libraries (scikit-learn, XGBoost, TensorFlow, PyTorch).
• Knowledge of healthcare data standards (FHIR, HL7).
• Strong analytical and problem-solving skills.
• 10+ years of relevant experience in data science or machine learning.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT