Data Scientist TA Promise Consulting LLC On-site Fast Track available

HireHouse; Abu Dhabi; On-site; AED 180,000 - 300,000; Full time

Job summary

HireHouse is seeking a Data Scientist with 3+ years of experience in healthcare AI to build AI/ML models for clinical and operational use, analyze EHR/IoT data, and develop decision-support dashboards. You will evaluate GenAI, LLMs, and computer vision solutions while ensuring privacy, safety, and governance.

The role collaborates with clinicians, engineers and business stakeholders, and requires strong Python/SQL skills, healthcare data experience, and cloud platform know-how.

Qualifications

• Expert Python & SQL; R preferred.
• Pandas, NumPy, PySpark, scikit-learn, statsmodels.
• Strong statistics, ML, causal inference and forecasting.
• Healthcare AI / EHR / clinical data experience.
• Computer Vision: CNN, U-Net, Vision Transformers, DICOM.
• GenAI: LLMs, RAG, embeddings, vector search, prompt engineering and AI agents.
• Cloud/ML platforms such as Azure, Databricks, AWS/GCP.
• Strong communication and stakeholder-management skills.
• Preferred: Experience with Epic, FHIR, HL7, OMOP, medical imaging, clinical decision support and responsible/clinical AI governance.

Responsibilities

• Develop AI/ML solutions for healthcare, clinical and operational use cases.
• Analyze EHR, clinical, imaging, operational and IoT data.
• Build predictive, statistical, NLP, forecasting and optimization models.
• Develop and evaluate Generative AI, LLM, RAG and agentic AI solutions.
• Work on Computer Vision for medical imaging and multimodal AI.
• Perform model validation, statistical analysis, explainability and fairness testing.
• Collaborate with clinicians, data engineers, AI/ML engineers and business stakeholders.
• Create dashboards and decision-support solutions using Power BI/Tableau/Streamlit.
• Ensure responsible AI, privacy, governance and clinical safety.

Skills

Python

SQL

R

Pandas

NumPy

PySpark

scikit-learn

statsmodels

Statistics

ML

Causal inference

Forecasting

Healthcare data

Computer Vision

GenAI

Azure

Databricks

AWS

GCP

Communication

Education

Bachelor’s/Master’s/PhD in Data Science, Statistics, Computer Science, Mathematics, Healthcare Analytics, or related field

Tools

Power BI

Tableau

Streamlit

Epic

FHIR

HL7

OMOP

DICOM

Job description

Data Scientist – Healthcare AI

Role: Data Scientist – Healthcare AI

Experience: 3+ years in Data Science/AI/ML; healthcare experience preferred

Education: Bachelor’s/Master’s/PhD in Data Science, Statistics, Computer Science, Mathematics, Healthcare Analytics, or related field.

Key Responsibilities:

• Develop AI/ML solutions for healthcare, clinical and operational use cases.

• Analyze EHR, clinical, imaging, operational and IoT data.

• Build predictive, statistical, NLP, forecasting and optimization models.

• Develop and evaluate Generative AI, LLM, RAG and agentic AI solutions.

• Work on Computer Vision for medical imaging and multimodal AI.

• Perform model validation, statistical analysis, explainability and fairness testing.

• Collaborate with clinicians, data engineers, AI/ML engineers and business stakeholders.

• Create dashboards and decision-support solutions using Power BI/Tableau/Streamlit.

• Ensure responsible AI, privacy, governance and clinical safety.

Must-Have Skills:

• Expert Python & SQL; R preferred.

• Pandas, NumPy, PySpark, scikit-learn, statsmodels.

• Strong statistics, ML, causal inference and forecasting.

• Healthcare AI / EHR / clinical data experience.

• Computer Vision: CNN, U-Net, Vision Transformers, DICOM.

• GenAI: LLMs, RAG, embeddings, vector search, prompt engineering and AI agents.

• Cloud/ML platforms such as Azure, Databricks, AWS/GCP.

• Strong communication and stakeholder-management skills.

• Preferred: Experience with Epic, FHIR, HL7, OMOP, medical imaging, clinical decision support and responsible/clinical AI governance.

… more