Data Scientist (AI with Healthcare data)
United States of America
Full Time
21 hours ago
H1B Sponsor Likely
Key skills
AI / ML applications developmentPythonpandasscikit-learnLangChainLarge Language Models (LLMs)Prompt engineeringRetrieval augmented generationGenerative AINatural Language Processing (NLP)Deep LearningComputer Science fundamentalsAlgorithm designSoftware engineering and deploymentAgentic AI systems engineeringHealthcare data domain knowledgeAWS ECSAWS BedrockAWS SageMakerServerless compute and storageFull stack web application prototypingAI coding tools and workflowsStakeholder managementAIMLNLPAgenticPandasAWSServerlessECSSageMakerBedrockStakeholder ManagementMentoringCommunicationCollaboration
About this role
Innovatix Technology Partners is seeking a Senior Data Scientist with a focus on AI and healthcare data. The role involves collaborating with product partners to leverage AI/ML for business solutions, conducting research, and deploying production-grade microservices.
Responsibilities:
- Collaborate with product partners and others to identify new opportunities to apply AI / ML to our content and products
- Conduct research and identify AI / ML algorithms and methods to solve specific business problems
- Implement rigorous testing and evaluation of potential solutions; review indicative results and proof-of-concepts with multi-disciplinary teams as part of customer-led product development
- Deploy your solutions as production-grade microservices in collaboration with engineering and DevOps teams
- Contribute towards common data science platforms and data assets
- Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments
Requirements:
- Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience
- 5+ years of experience developing AI / ML applications and data driven solutions
- Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc
- Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation
- Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc
- Understanding of CS fundamentals, computational complexity, and algorithm design
- Ability to engineer and deploy well-architected software packages
- Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level
- Experience mentoring junior team members
- Deep expertise in engineering agentic AI systems
- Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data
- Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage
- Ability to prototype PoC webapps with familiarity across the full stack
- Expert usage of AI coding tools and workflows