Company Description

Enigma Genomics is a global leader in next-generation sequencing solutions, leveraging advanced artificial intelligence to decode the human genome. Recognized as a pioneer in the Middle East and worldwide, the company provides personalized genetic insights to improve health and well-being. Enigma Genomics employs cutting-edge technologies and analysis algorithms developed in collaboration with leading organizations such as Google AI and the Broad Institute of MIT and Harvard. At its core, Enigma Genomics is dedicated to transforming lives through innovations in genetic medicine.

About the Role

We are looking for a Data Scientist with strong machine learning experience to join our team at Enigma.

This role focuses on building and applying data-driven models on complex datasets, including genetic and healthcare data, to support real-world applications.

This is not a reporting or dashboard-focused role. We are looking for candidates with hands-on experience in machine learning, modeling, and data pipelines.

Key Responsibilities

• Build, train, and evaluate machine learning models.
• Work with large-scale and high-dimensional datasets (e.g., genetic or clinical data).
• Perform feature engineering and data preprocessing.
• Design and optimize data pipelines and workflows.
• Collaborate with bioinformatics and product teams.
• Translate data into actionable insights and models.
• Contribute to deploying and improving models in production.

Requirements

• 2–5 years of experience in a Data Science / Machine Learning role.
• Strong hands-on experience in machine learning.
• Proficiency in Python (Pandas, NumPy, Scikit-learn).
• Experience with model evaluation and optimization techniques.
• Experience working with large and complex datasets.
• Strong understanding of statistics and data modeling.