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.

We are seeking a talented and motivated Data Scientist to join our Data Science team and play a key role in developing innovative AI solutions using the AWS technology stack. You will be responsible for developing, assessing, and fine-tuning various AI and machine learning models, and you will oversee training, testing, and collaborate on the deployment of these models. You will work closely with cross-functional teams, including AI data engineers, AI engineers, bioinformatics analysts, software engineers, and product managers, to bring AI-powered solutions to life that drive clinical trial acceleration and insights.

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

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