Data Engineer

What you’ll be doing 

Helping to guide a group of cross-functional teams as they move their use cases from idea to Minimum Viable Product (MVP). These teams will consist of various members from different institutes or centers of the National Institutes of Health and as such, propose use cases that are typically in the medical research or public health space, for internal or external audiences. 

Working with Mind Moves 

You’ll collaborate with client leads, business operators, other consultants, and the Mind Moves project team. Interface with world-renowned professionals, make a real difference for scientific discoveries with an opportunity to upskill with concrete experience in the AI space. You’ll be on the leading edge of new tech, in a creative space, shaping and steering future development in health and medicine. 

The contract will include: 

• Deliver 'knowledge sessions' to teams to familiarize and give working knowledge to teams 
• Assist in data engineering and preparation tasks to enable teams who may not have engineering resources to utilize their data or new data sources 
• Collaborate with cross-functional teams across federal agencies and supporting partners 
• Designing solutions with defined requirements 
• Innovating ‘outside the box’ while accounting for risk 
• Articulate the art of the impossible and leave business people to the edge of the frontier of innovation  

Contractor has: 

• 7+ years professional experience with Data Science, Deep Learning and/or Engineering 
• Proficiency in Python and machine learning frameworks like SKLearn, and PyTorch 
• Proficiency with relational database systems (SQL) and object-based data stores 
• Experience with cloud platforms such as Azure, AWS, or Google Cloud 
• Proficient in Git and version control 
• Competent in maintaining and optimizing infrastructure for data collection, management, and transformation 
• Experience building models and architecture to support natural language processing and/or automation tasks 
• Experience with optimizing and tuning models for efficient execution 
• Ability to evaluate models in terms of efficacy while being mindful of best practices with responsible AI 
• Demonstrated experience building ML solutions from technical design to operational deployment 
• Ability to support end users with code reviews, debugging, and troubleshooting issues 
• Ability to apply emergent DS/ML techniques (like RAG, and prompt engineering) to solve business/operational problems 
• Understanding of a Software Development Lifecycle, including agile/SCRUM methodology 
• Excellent communication skills, including fluency in English  

Would be nice if your proposal/background includes: 

• Masters/PhD degree in Computer Science, Mathematics, or Artificial Intelligence  
• Background, education, or experience working in life sciences, preferably the biomedical or bioinformatics space 
• Experience with Generative AI (e.g. Large Language Models) 
• Maryland/Virginia/DC area of location or Eastern time zone or willing to travel on an ad hoc basis  
• Microsoft Azure platform experience  

Compensation range: Proposals accepted from $100-130 per hour  

Estimated contract duration: 6 months 

Estimated hours each week/month: 20-40 hours each week 

Work locale: 100% remote in the US