Data Scientist

ART Fertility Clinics; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

An established industry player in reproductive medicine is seeking a talented Data Scientist to join their innovative team. In this role, you will leverage advanced statistical and machine learning techniques to develop predictive models that enhance IVF treatment success. You will collaborate closely with reproductive medicine specialists, ensuring that AI-driven solutions meet patient care needs. The ideal candidate will have a strong background in data science, with expertise in programming and machine learning tools. This is a unique opportunity to contribute to groundbreaking research and make a significant impact in the healthcare field, all while working in a dynamic and supportive environment.

Qualifications

• 5+ years of experience in machine learning and healthcare applications.
• Proficiency in Python and familiarity with AI tools like TensorFlow and PyTorch.

Responsibilities

• Develop predictive models for IVF treatment success using machine learning.
• Collaborate with specialists to align AI solutions with patient care needs.

Skills

Machine Learning

Data Analysis

Statistical Analysis

Programming (Python)

Computer Vision

Problem Solving

Communication Skills

Education

Master’s or PhD in Data Science

Master’s or PhD in AI

Master’s or PhD in Computer Science

Master’s or PhD in Statistics

Tools

TensorFlow

PyTorch

OpenCV

CUDA

Cloud AI Services

Job description

Job Title: Data Scientist

Department: Research

Reports To: Head of the Data Clinical Data Management Unit

Location: Abu Dhabi

Who we are:

ART Fertility Clinics is a leading institution of Reproductive Medicine with clinics in the Middle East & India. The institution is known for delivering the highest success rate in the region and has helped thousands of couples achieve their dream of parenthood. Clinical Excellence in Delivering the Highest Pregnancy Success Rates, The Most Advanced Technology & Infrastructure, and Proprietary research and Techniques have established Art Fertility Clinics as Leaders in Fertility Treatments & Research Globally.

ART Fertility Clinics was started as an extension of IVI RMA Global in 2015 under the brand name IVI Middle East. In Jan 2020, IVI RMA divested its ownership to Gulf Capital and the entity was rebranded as ART Fertility Clinics. The company is backed by a large private equity fund.

In the past ten years, ART Fertility Clinics has established Clinics in Abu Dhabi, Dubai and Al Ain become the leading institute for Human Reproductive Medicine in the Middle East. As part of the global expansion initiative mandated by Gulf Capital, ART Fertility has expanded its presence in India, commencing operations of 6 IVF clinics across India in 2021 with additional clinics in the pipeline. These clinics provide the most comprehensive range of services including IVF, Male infertility, and genetics.

Responsibilities:

• Develop and optimize predictive models for IVF treatment success using advanced statistical and machine learning techniques.
• Implement machine learning and computer vision techniques to automate processes and enhance clinical decision-making in fertility treatments.
• Design, evaluate, and refine models using hypothesis testing, classification algorithms, simulation techniques, and model evaluation metrics, ensuring comparisons with state-of-the-art (SOTA) baselines.
• Identify and integrate structured and unstructured data sources, ensuring high-quality data collection, cleaning, and validation for accuracy and consistency.
• Develop and apply algorithms for big data processing, conducting error analysis to enhance model performance.
• Analyse data trends and patterns to derive meaningful insights for clinical and research applications, generating high-impact ideas based on gaps and limitations of existing methodologies.
• Manage data pipelines, ensuring seamless model deployment and integration within clinical environments.
• Conduct high-quality and innovative research focused on multi-modal learning, actively prototyping ideas from cutting-edge research.
• Collaborate closely with reproductive medicine specialists to align AI-driven solutions with patient care needs.
• Stay updated on emerging AI and machine learning techniques and maintain high-quality, reproducible research code.

Requirements:

• Master’s or PhD in Data Science, AI, Computer Science, Statistics, or a related field.
• 5+ years of experience in machine learning, data analysis, and healthcare applications.
• Proficiency in programming languages such as Python, CUDA, OpenCV, TensorFlow, PyTorch, and experience with cloud AI services.
• Strong knowledge of data mining, mathematics, and statistical analysis.
• Experience working with computer vision and image/video labeling tasks such as classification, object detection, segmentation (semantic & instance).
• Ability to develop, deploy, and maintain scalable AI applications in real-world settings.
• Comfortable in a dynamic, research-driven environment, working on multiple concurrent projects and prototyping from research papers.
• Strong analytical and problem-solving skills, with a passion for innovation in healthcare research.
• Excellent written and verbal communication skills, with experience in scientific reporting and manuscript preparation.