Title: Manager, Data Scientist - Eso Location: United States Job Description: Category Laboratory Location Pittsburgh, Pennsylvania Job function Operations Job family Laboratory Operations Shift Day Employee type Regular Full-Time Work mode Remote Healthcare Analytics Solutions (HAS) is an innovative team within Quest Diagnostics that leverages Quest data to develop products and services to improve outcomes in healthcare across many different markets (Pharma, Clinical Trials, Health Plans/Payers, Hospitals/Health Systems, and Public Health agencies). Join HAS to build, productionize, and operationalize clinical ML products using billions of results from Quest laboratory data. You will partner with clinicians, engineers, and product teams to deliver robust, compliant, and well‑documented models that impact patient care and downstream products. Fully remote, minimal travel required; strong emphasis on hands‑on production experience and pragmatic problem solving. Responsibilities: - End-to-end ML delivery: data curation, feature design, modelling, validation, CI/CD deployment, and monitoring. - Productionization: containerization, model serving, performance tuning, rollout strategies, and observability (drift, performance, alerts). - Model governance: reproducibility, versioning, bias/fairness checks, and audit-ready documentation. - Integration of advanced analytics and machine learning models into business products and services including business intelligence dashboards and real-time analytics. - Curation of data sets from Quest and non-Quest data sources in support of deriving business insights driven by advanced analytics. - Cross-functional partnership with clinicians and product owners to define outcomes, acceptance criteria, and validation plans. - Mentor and raise engineering standards across the team: coding best practices, testing, and deployment patterns. - Translate technical results into clear explanations and recommendations for technical and executive stakeholders. Qualifications: - 5+ years demonstrated track record delivering ML models to production (architecture, deployment, and monitoring), preferably in the healthcare industry. - 5+ years relevant experience with Python and SQL; production-grade code and testing practices. - Practical experience with model serving and monitoring, CI/CD for ML, and feature pipeline orchestration. - Experience working with healthcare data (labs, EHR, claims) and familiarity with PHI handling/HIPAA considerations. - Strong statistics, model evaluation, and pragmatic approach to validation. - Excellent communication and problem‑solving skills; comfortable leading technical discussions with clinicians and engineers and presenting to senior executives - A bachelor's degree from an accredited college or university in a related area of Data Science, Statistics, Computer Science, Mathematics, Economics, or Information Technology. Master's or PhD preferred. Preferred - Familiarity with feature stores and SHAP/interpretability tooling. - Prior experience in regulated environments or deploying clinical decision support tools. - Demonstrated ability to leverage data visualization tools and software to present advanced analytics that are easy to interpret and spot patterns, trends, and correlations - Experience developing, deploying, and monitoring production models in the C3.ai platform - Excellent scientific writing skills; we may publish studies based on novel models or methods - Experience supporting the creation of SOWs and Contracts. - Aptitude in other programing languages like R, SAS, JavaScript Why join this team? - High-impact work across products and markets; you have the opportunity to meaningfully improve patient outcomes and healthcare delivery in the United States in this role - Fully remote, collaborative team. - Opportunity to define production ML standards. - Clear ownership of end-to-end model lifecycle and opportunity to mentor others. 57820 While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume.

Title: Data Science Analyst - Remote Location: Brentwood United States Job Description: Premise Health is Different on Purpose Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs. Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to solve healthcare business problems. You will develop predictive models, build AI-powered solutions, and deliver insights to both technical and non-technical stakeholders. This is a Full Time, remote, Data Science Analyst role. What You'll Do - Analysis, Model Development & AI Solutions: - Perform exploratory data analysis to identify patterns and opportunities in healthcare data - Develop predictive models and machine learning solutions under guidance of senior team members - Document model methodology, assumptions, and results to ensure reproducibility - Design text analytics and classification pipelines using LLMs and NLP techniques - Build generative AI solutions including prompt engineering pipelines and LLM-based classification - Develop and evaluate AI agent workflows for business process automation - Work with LLM APIs and model serving endpoints to integrate AI into analytical solutions - Collaboration & Communication: - Partner with senior data scientists and stakeholders to align on project goals - Communicate findings and methodologies clearly to technical and non-technical audiences - Demonstrate a willingness to learn by incorporating feedback effectively - Technical Execution: - Work with common healthcare data including claims, EHR, and laboratory datasets - Write clean, well-structured, and documented code in Python, PySpark, SQL - Use Git for version control and follow structured development practices What You'll Bring - Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program - 3+ years of experience in data science, AI/ML or advanced analytics - Coursework or projects in applied machine learning and neural networks - Coursework or projects involving generative or agentic AI, LLMs, or NLP - Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.) - Healthcare data experience preferred - Familiarity with deploying ML/predictive models to production environments - Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts - Familiarity with generative AI concepts: prompt engineering, LLM APIs, and retrieval-augmented generation (RAG) - Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.) - Familiarity with Python, SQL, and Git (version control) - Experience with the following is a plus: - Cloud: Azure, Databricks - Version Control: GitLab - IDE: VS Code Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law. Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 - $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors. For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.

Role Description We're hiring a Senior Data Scientist to bring advanced analytical capability to our business decisions. You'll build models, generate insights, and work closely with product and engineering on data-powered features. - Design and build machine learning models for business applications - Analyse large datasets to surface strategic insights for leadership - Partner with product and engineering on data-driven features - Define and implement data science best practices - Communicate complex findings clearly to non-technical stakeholders Qualifications - 4+ years of data science experience - Proficiency in Python, R, and SQL - Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) - Excellent English communication skills - Strong statistical foundation and modelling experience Company Description

• Build the data function for a growing multi-product HealthTech platform • Define the company’s data strategy and strengthen how success is measured across product teams and the broader business • Assess the current setup, work directly with existing analysts, and shape the next stage of the function • Help Recare create a clearer picture of customer acquisition, product performance, and market growth • Connect product usage data to business performance • Turn data into actionable narratives for business reviews and product reviews • Lead a team of analysts, evaluate the current structure, and grow the function over time • Shape how data supports teams across product, finance, RevOps, and marketing • Define the right tooling and infrastructure for the company’s data needs • Collaborate with the AI engineering team on evaluation and quality measurement of AI outputs