Associate Data Scientist

Associate Data Scientist

US - Remote

Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.

We believe the work we do will have a direct impact on patients’ lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We’re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!

Primary Purpose

We are seeking a talented and motivated Associate 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 data science software for diverse use cases in clinical research.
• Select and implement appropriate AI technologies based on the problem and data characteristics (e.g., LLMs or other NLP techniques for text processing, classification, or generation; CNNs for image processing or predictive modeling).
• 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.
• Other responsibilities as assigned.

Qualifications

• 1+ year of experience as a Data Scientist or similar role, with a strong focus on using AI technologies with text and/or image data.
• Bachelor's degree in Computer Science, data science, biostatistics, or a related field.
• Proven experience in designing and building production-grade code that is modular, generalizable and extensible.
• Experience building code utilizing AWS AI/ML services such as SageMaker and Bedrock.
• In-depth understanding of large language models, convolutional neural networks, or other relevant AI techniques.
• Strong understanding of statistical and machine learning methods.
• Expertise in R and/or Python, and familiarity with AI libraries such as TensorFlow, PyTorch, etc.
• Experience using Version Control software (Git, SVN, or similar) to manage programming code.
• Experience templating reproducible analytical workflows using R Markdown and/or Jupyter Notebook.
• Excellent communication and collaboration skills.
• Relevant AWS certifications (e.g., AWS Certified Machine Learning) preferred.
• Domain experience with clinical trial data or processes (e.g., data capture, risk-based monitoring, safety reports, clinical study reports) preferred.

Tools

• AWS AI/ML services such as SageMaker and Bedrock
• R
• Python
• SQL

Benefits

• Flexible Approved Time Off
• Tuition Reimbursement
• 401k Retirement Plan
• Work From Home Anywhere in the US
• Maternal/Paternal Leave
• Casual Dress Code & Work Environment