Note: The job is a remote job and is open to candidates in USA. Emmes Group is a clinical research organization and technology company advancing healthcare through scientific, data, and analytical solutions. The Data Scientist will develop, evaluate, and deploy AI and machine learning models for text and image processing on AWS, collaborating with cross-functional teams to support 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
Skills
- 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
- 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
- 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
Company Overview
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