Full-Time

Full Stack Data Scientist

Confirmed live in the last 24 hours

Cardinal Health

Cardinal Health

Distributes pharmaceuticals and medical products globally

Compensation Overview

$93.5k - $133.6k/yr

Mid, Senior

Company Does Not Provide H1B Sponsorship

Remote in USA

Category
Full-Stack Engineering
Software Engineering
Data & Analytics
Required Skills
LLM
Scikit-learn
Kubernetes
FastAPI
Python
JavaScript
Airflow
React.js
Apache Beam
Tensorflow
Git
Node.js
Redux.js
Pytorch
Machine Learning
Java
Postgres
Docker
Microservices
Pandas
Vue.js
REST APIs
Flask
LangChain
NumPy
AngularJS
Data Analysis
HTML/CSS
Django
Google Cloud Platform
Requirements
  • Bachelor’s degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred.
  • At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred
  • Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL.
  • Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components).
  • Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD pipelines using Concourse
  • Knowledge of clinical domain and datasets.
  • Knowledge of REST, Apigee, Microservices preferred
  • Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques.
  • Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation
  • Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage.
  • Strong mathematical and statistical skills.
  • 2+ years in the Healthcare industry and knowledge of clinical data preferred.
  • Delivery experience with Google Cloud Platform preferred.
  • Agile development skills and experience preferred.
  • Experience designing and developing machine learning and deep learning solutions and systems.
  • Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments.
  • Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape.
  • Experience mining and analyzing large structured and unstructured datasets.
  • Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions.
  • Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production
  • Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment
  • Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam
  • Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks.
  • Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP)
  • Experience interacting with REST APIs and microservices
  • Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
Responsibilities
  • Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions.
  • Strong understanding of React components, state management, and lifecycle methods.
  • Ability to build complex and performant user interfaces.
  • Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction.
  • Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments.
  • Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization.
  • Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring.
  • Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage.
  • Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders.
  • Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects.
  • Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam.
Desired Qualifications
  • Experience in the Healthcare industry and knowledge of clinical data preferred.
  • Delivery experience with Google Cloud Platform preferred.
  • Agile development skills and experience preferred.

Cardinal Health distributes pharmaceuticals and manufactures medical and laboratory products for healthcare facilities. The company provides performance and data solutions to improve operational efficiency and patient care. With over 50 years of experience, Cardinal Health operates in more than 30 countries and employs around 48,000 people. Its business model focuses on supplying essential medical supplies and pharmaceuticals to hospitals, clinics, and other healthcare providers. What sets Cardinal Health apart from competitors is its extensive global network and wide range of product offerings, making it a vital part of the healthcare supply chain.

Company Size

N/A

Company Stage

N/A

Total Funding

$270.6M

Headquarters

Dublin, California

Founded

1971

Simplify Jobs

Simplify's Take

What believers are saying

  • Rising demand for telehealth solutions complements Cardinal Health's data solutions and patient care.
  • Hospital-at-home models offer Cardinal Health opportunities to expand service offerings.
  • Specialty pharmaceuticals demand aligns with Cardinal Health's acquisition of Specialty Networks.

What critics are saying

  • Increased competition from digital health startups like RxLive challenges Cardinal Health's model.
  • Integration challenges from acquiring Specialty Networks may disrupt Cardinal Health's operations.
  • Expansion in Indianapolis could lead to increased operational costs without guaranteed ROI.

What makes Cardinal Health unique

  • Cardinal Health's acquisition of Specialty Networks enhances its specialty pharmaceutical distribution capabilities.
  • The company's global operations in over 30 countries strengthen its supply chain network.
  • Cardinal Health's investment in Medically Home supports leadership in hospital-level patient care at home.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

401(k) Company Match

Short- and Long-term Disability Coverage

Paid Parental Leave

Wellness Program

Company News

PR Newswire
Jan 31st, 2024
Cardinal Health To Acquire Specialty Networks And Its Pps Analytics Platform, A Technology Enabled Multi-Specialty Group Purchasing And Practice Enhancement Organization In Urology, Rheumatology And Gastroenterology

Transaction creates increased clinical and economic value for 11,500 specialty providers, including more than 7,000 physicians across 1,200 independent physician practices. Transaction creates platform for Cardinal Health expansion across specialty therapeutic areas. Transaction enhances capabilities of Cardinal Health Specialty and supports ongoing build of Navista™ NetworkDUBLIN, Ohio, Jan. 31, 2024 /PRNewswire/ -- Cardinal Health (NYSE: CAH) announced today that it has entered into a definitive agreement to acquire Specialty Networks, a technology-enabled multi-specialty group purchasing and practice enhancement organization for $1.2B in cash. Specialty Networks creates clinical and economic value for independent specialty providers and partners across multiple specialty GPOs: UroGPO, Gastrologix and GastroGPO, and United Rheumatology

Intelligence360
Mar 7th, 2023
Cardinal Health To Spend $3,100,000.00 To Occupy 3,794 Square Feet Of Space In Indianapolis Indiana.

Cardinal Health to spend $3,100,000.00 to occupy 3,794 square feet of space in Indianapolis Indiana. Cardinal Health to spend $3,100,000.00 to occupy 3,794 square feet of space in Indianapolis Indiana.Indianapolis, Indiana — According to state and local economic development sources, Cardinal Health plans to invest $3,100,000.00 to build out 3,794 square feet of new space in Indianapolis. The company plans to occupy the new space at 7736 Zionsville Rd in Indianapolis, on or about September 1, 2023. According to the company website Cardinal Health is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. With operations in more than 30 countries and approximately 44,000 employees globally, Cardinal Health is essential to care. We are navigating the complexities of healthcare and providing scaled solutions to help our customers thrive in a changing world

GlobeNewswire
Jul 26th, 2022
RxLive Raises $5 Million Series A to Deliver Population Health Telepharmacy Solutions for At-Risk Patients

Digital Health Startup Is Tackling Medication Mismanagement, a $500 Billion Problem...

PR Newswire
Jan 10th, 2022
Medically Home Announces a $110 Million Strategic Investment Led by Baxter International Inc., Global Medical Response and Cardinal Health to Advance Leadership in Hospital-Level Patient Care at Home

/PRNewswire/ -- Medically Home today announced a new, $110 million round of funding from strategic investors including Baxter International Inc., Global...