Data Scientist
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Data Scientist applying machine learning and NLP in healthcare analytics. Collaborate with teams to refine predictive models and document processes for deployment.
Responsibilities:
- Build & Refine: Assist in building, testing, and refining predictive machine learning models and text-based Generative AI tools (utilizing Vertex AI and modern NLP frameworks) under the guidance of senior team members to address real-world clinical challenges.
- Process & Analyze: Extract, clean, and preprocess structured healthcare data (EHR, billing, and claims), performing feature engineering to address noise, missingness, and complex clinical data structures.
- Evaluate & Test: Conduct model evaluation, benchmarking, and error analysis, assessing performance metrics alongside clinical safety, fairness, and potential algorithmic bias.
- Collaborate & Learn: Work alongside senior data scientists and clinical mentors to translate broad clinical questions into structured analytics problems and actionable technical tasks.
- Document & Handoff: Write clean, well-documented code and maintain clear project documentation (in GitHub) to support model deployment and integration with MLOps pipelines.
Requirements:
- High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.
- Education: A Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Health Informatics, Statistics, or a related STEM field.
- Healthcare Domain Interest: Familiarity with or strong eagerness to learn healthcare data standards and clinical coding structures (e.g., ICD-10, CPT codes).
- Core Technical Skills: Solid foundational proficiency in Python (pandas, NumPy, scikit-learn), working knowledge of SQL (BigQuery/relational databases), and familiarity with version control tools like Git/GitHub.
- AI & NLP Exposure: Exposure to Large Language Model (LLM) concepts, prompt engineering, or modern NLP/GenAI frameworks (e.g., Hugging Face, LangChain, or Google Vertex AI) through coursework, research, internships, or projects.
- Communication & Curiosity: Strong analytical problem-solving skills with the ability to communicate technical findings clearly to both technical peers and clinical stakeholders.
Benefits:
- Comprehensive health coverage: medical, dental, vision, prescription coverage and HSA/FSA options
- Financial security & retirement: employer-matched 403(b), planning and hardship resources, disability and life insurance
- Time to recharge: pro-rated paid time off (PTO) and holidays
- Career growth: Ascension-paid tuition (Vocare), reimbursement, ongoing professional development and online learning
- Emotional well-being: Employee Assistance Program, counseling and peer support, spiritual care and stress management resources
- Family support: parental leave, adoption assistance and family benefits
- Other benefits: optional legal and pet insurance, transportation savings and more
Similar Jobs
Senior Insurance Data Scientist
Lead Data Scientist developing and maintaining pricing models for pet insurance at Independence American Insurance Company. Collaborating across teams to drive analytical best practices and project initiatives.
Senior Manager, Master Data Management – Reference Data
Senior Manager leading Master Data Management initiatives for a biotechnology company. Responsible for data standards, governance, and cross-functional team delivery.
Senior Product Manager, Data & AI
Senior Product Manager at ICA, Inc., focusing on data and AI to enhance document intelligence solutions for government customers. Leading product roadmaps and managing cross-functional teams.
Senior Data Scientist
Senior Data Scientist at Pipe Technologies developing and deploying machine learning models to forecast customer cash flows and credit risk. Collaborating with engineering teams to improve product design and customer experience.
Senior Data Scientist
Senior Data Scientist at Aplazo developing AI-driven models for credit risk, growth, and fraud. Collaborating across domains with a focus on fintech innovations and strategies.
Head of Data Science, Credit Risk
Head of Data Science leading ML-driven underwriting strategy at FINN, enhancing financial inclusion in Southeast Asia. Develop risk models and manage data science teams for optimal growth.
Data Scientist, Mid-level
Data Scientist working on Zé Delivery's Digital Insights team to develop analytical models. Collaborating on business decisions and product recommendations across various squads.
Data Strategy Tech Lead
Data Strategy Tech Lead managing internal technical initiatives for data-intensive systems at SentiLink. Collaborating with cross-functional teams to build and operationalize data for the future.
Data Manager, FME
Data Manager (FME) developing automated data flows and supporting data analysis for a major European Institution. Collaborating with internal teams to ensure data quality and performance monitoring.
Clinical Data Lead – NSQIP
Clinical Data Lead at MRO managing quality tasks for clinical data abstraction. Collaborating on internal performance trends and mentoring new hires for data integrity.
Senior Manager, Brand Buzz, Data & Policy
Senior Manager responsible for PR strategy and executing communications for Zscaler’s Aston Martin partnership. Focus on data storytelling and public sector engagement.
Data Science Trainee
Trainee in Data Science to develop skills in data analysis and Machine Learning. Opportunity to learn from experienced professionals building data-driven solutions.
Data Scientist
Join redbee as a Data Scientist to support a digital transformation project for a leading bank. Collaborate in modernizing digital channels and adopting new cloud architectures.
Associate Client Success Manager, Data & Marketing
Managing and growing client relationships for Alkami's Data & Marketing solutions. Collaborating to ensure customer satisfaction in a remote-first work environment.
Data Governance Lead
Data Governance Lead managing healthcare organizations' data governance initiatives. Leading strategy, execution, and fostering client relationships to improve data effectiveness and operational efficiency.
Manager, Data Systems
Manager of Data Systems handling enterprise data strategy and architecture at Intradiem. Leading data governance and business intelligence solutions to enhance data accessibility and quality.
Data Capture Operations – Project Manager
Project Manager overseeing Data Capture Operations at Niricson, utilizing advanced technology for infrastructure inspection. Coordinating projects, ensuring smooth deployments, and fostering team collaboration.
Senior Data Manager
Remote Senior Data Manager overseeing data management functions and client support. Ensuring compliance and delivering high-quality client service across various projects at Labcorp.
Data Scientist, Application Developer – Secret Cleared
Data Scientist/Application Developer utilizing AI and data analytics capabilities for US federal government. Conducting data discovery, analysis, and building applications in an Agile/Scrum environment.
Data Ambassador, Project Manager
Project Manager, Laboratory at ICON designing and analyzing clinical trials for innovative treatments. Coordinating project management delivery and developing team capability across multiple studies in a global healthcare organization.