Data Scientist

Overview

Data Scientist
Be Part of One Team, One Purpose.
At Emmes Group , we're shaping the future of clinical research-where human intelligence meets cutting-edge technology to drive meaningful advancements in healthcare. With over 47 years of scientific excellence , we've led groundbreaking research in cell and gene therapy, vaccines, infectious diseases, ophthalmology, rare diseases, and neuroscience.
Through our two business units-Emmes, a full-service CRO , and Veridix AI, our technology, data, and analytical solutions -we are modernizing clinical trials and accelerating the development of life-changing therapies.
We believe that every clinical breakthrough starts with people -people who are passionate, purpose-driven, and ready to make an impact. At Emmes Group , we bring People, Science, and Technology together to collaborate with our customers and deliver global health impact. Our culture is built on integrity, collaboration, and innovation , ensuring that every challenge is met with perseverance and accountability.

Responsibilities

• Design and build state of the art AI models for diverse use cases in text and image processing.
• Select and implement appropriate AI technologies based on the problem and data characteristics, example, LLMs or other NLP techniques for text processing, classification, or generation; CNNs for image processing or predictive modeling.
• Train and evaluate models on the AWS platform using AWS services like AWS SageMaker.
• Support data processing and automation of model development workflows using R, Python, SQL, and command line tools.
• Explore data to identify patterns,trends,and anomalies important for model development using R and Python.
• Collaborate with AI data engineers and AI engineers to operationalize models into production systems for real time prediction and decision making.
• Assist with extract, transform, and load ETL processes of datasets stored on AWS services such as S3,DynamoDB, or Redshift.
• Communicate the insights and implications of your AI models to stakeholders in a clear and concise manner, bridging the gap between technical expertise and clinicians.
• Stay up to date on the latest advancements in AI research and translate them into practical applications for the company.
• Performs other duties as assigned
• Complies with all policies and standards

Qualifications

• Bachelor's Degree Required
• 1-3 years 3+ years of experience as a Data Scientist or similar role, with a strong focus on using AI technologies with text and/or image data. Required
• 1-3 years Proven experience in designing and building production-grade AI models using AWS AI/ML services such as SageMaker and Bedrock. Required
• 1-3 years In-depth understanding of large language models, convolutional neural networks, or other relevant AI techniques. Required
• 1-3 years Strong understanding of statistical and machine learning methods. Required
• 1-3 years Expertise in R and/or Python, and familiarity with AI libraries such as TensorFlow, PyTorch, etc. Required
• 1-3 years Experience using Version Control software (Git, SVN, or similar) to manage programming code. Required
• 1-3 years Experience templating reproducible analytical workflows using R Markdown and/or Jupyter Notebook. Required
• 1-3 years Excellent communication and collaboration skills. Required
• less than 1 year Relevant AWS certifications (e.g.,AWS Certified Machine Learning) preferred. Preferred
• less than 1 year Experience with specific AI applications relevant to our company's domain preferred. Preferred
• Ability to manage multiple tasks High
• Ability to work independently, as well as in a team environment High
• Ability to effectively communicate technical concepts, in both written and oral format. High

If you're looking for a career where your work advances global health and where scientific excellence meets real-world impact, join us and be part of something bigger. One Team, One Purpose.