初级数据分析师 (W2, 远程)
Junior Data Analyst (W2, Remote)
职位名称:初级数据分析师
地点:远程 美国
雇佣类型:全职 W2 时薪制
薪资:每小时35美元
*此职位要求目前拥有在美国工作的合法资格,无需未来任何雇主担保的工作签证。"
CareTalk Health
关于 CareTalk Health CareTalk Health 是一家全国性的虚拟医疗实践机构,专注于临床流程外包(CPO)。我们与医疗机构合作,构建和管理患者及会员群体,在我们服务的各州通过视频提供护理,并每月安排约20,000次患者就诊。
关于该职位
你对数据充满好奇吗?你喜欢深入数据集以发现模式和机会吗?你是否热衷于利用数据推动可操作的见解和有意义的改变?
初级数据科学家/数据分析师将在管理、分析和解释与医疗相关的数据方面发挥关键作用,以支持我们的使命。该职位将与跨职能团队合作,提供影响决策、优化流程并改善患者护理的见解。
你将有机会利用深度学习、机器学习和人工智能的最新进展构建和实施解决方案。通过设计和应用这些前沿方法,你将帮助提取有价值的见解,开发预测模型,并创建提升结果并推动医疗创新的工具。
作为你旅程的一部分,你将帮助我们创建不仅分析过去,还能预测未来的系统——为医疗保健提供者和管理者提供数据驱动的决策工具。无论是识别低效环节、改进工作流程,还是利用AI简化护理交付,你的工作都将产生可衡量的影响。
如果你对利用数据进行创新并在医疗技术环境中蓬勃发展充满热情,这个职位适合你。
你将负责
主要职责
- 数据管理:从各种来源收集、清理和预处理大型数据集。
- 分析:对医疗数据进行统计分析并生成可操作的见解。
- 可视化:创建和维护仪表板、报告和可视化图表,以有效传达发现。
- 协作:与产品、工程和临床团队合作,定义数据需求并交付解决方案。
- 数据质量:确保数据的准确性、完整性和一致性。
查看英文原文
Job Title: Junior Data Analyst
Location: Remote United States
Employment Type: FT W2 Hourly
Compensation: $35 per hour
*This role requires current, unrestricted authorization to work in the United States without any future need for employer-sponsored work authorization."
CareTalk Health
About CareTalk Health CareTalk Health is a national virtual medical practice specializing in Clinical Process Outsourcing (CPO). We partner with healthcare organizations to build and manage patient and member populations, delivering care by video across the states we serve and scheduling approximately 20,000 patient visits per month.
About the Role
Are you curious about data? Do you enjoy diving into datasets to uncover patterns and opportunities? Are you passionate about using data to drive actionable insights and meaningful change?
The Junior Data Scientist / Data Analyst will play a pivotal role in managing, analyzing, and interpreting healthcare-related data to support our mission. This individual will collaborate with cross-functional teams to provide insights that influence decision-making, optimize processes, and improve patient care.
You will have the opportunity to build and implement solutions leveraging the latest advancements in deep learning, machine learning, and artificial intelligence. By designing and applying these cutting-edge methodologies, you will help extract valuable insights, develop predictive models, and create tools that enhance outcomes and drive innovation in healthcare.
As part of your journey, you’ll help us create systems that not only analyze the past but also forecast the future—empowering healthcare providers and administrators with data-driven decision-making tools. Whether it’s identifying inefficiencies, improving workflows, or leveraging AI to streamline care delivery, your work will make a measurable impact.
If you’re excited about leveraging data to innovate and thrive in a healthcare technology environment, this role is for you.
What You’ll Do
Key Responsibilities
- Data Management: Collect, clean, and preprocess large datasets from various sources.
- Analysis: Perform statistical analyses and generate actionable insights from healthcare data.
- Visualization: Create and maintain dashboards, reports, and visualizations to communicate findings effectively.
- Collaboration: Work with product, engineering, and clinical teams to define data requirements and deliver solutions.
- Data Quality: Ensure accuracy, completeness, and integrity of data by implementing best practices for validation and maintenance.
- Machine Learning (Developing): Develop and apply basic machine learning models to identify patterns and predict outcomes.
Required
- Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Experience: 1-2 years of experience in a data-focused role (internship experience included).
Skills:
- Proficiency in SQL and Python or R for data analysis.
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Strong analytical and problem-solving skills.
- Basic understanding of statistical methods and predictive modeling.
- Knowledge of healthcare datasets or standards (e.g., FHIR, ICD-10) is a plus.
- Soft Skills: Excellent communication skills, attention to detail, and a willingness to learn.
Work Location Requirement
This is a remote U.S.-based position. Employees must perform all work physically within the United States. International work is not permitted during scheduled work hours.
Work Environment
This is a remote position and may be “on camera” at any time. This position will work from a home office, requiring reliable internet connectivity and a secure, private workspace.
Technical Requirements:
- Computer:
- Windows or Apple (macOS) Computer ONLY (NO Chromebooks, Linux Machines, or Smartphones)
- Must have at least Windows 10 or macOS 14 Sonoma.
- Hardware:
- Processor: Intel Core i5 or AMD Equivalent (Windows); Apple Silicon (Macs)
- RAM: 16 GB
- Headphones: Wired headphones required for optimal audio quality. (NO built-in mics)
- Internet Speed: Meet minimum internet speed requirements (100 MBPS download speed and 50 MBPS upload speed). Must have an ethernet cable connecting computer directly into router.
- Browser and System: Use Google Chrome with Amazon Workspaces (regardless of computer type).
- Webcam: A webcam is required for video calls. Most laptops have a built-in webcam, which is acceptable. If your computer does not have a webcam, you will need to use an external webcam.
- Recommended Equipment: A second monitor is highly suggested for laptop users; dual monitors for PC users.
Why CareTalk Health
- Innovative Culture: Be part of a forward-thinking organization committed to transforming the healthcare landscape through virtual care and telehealth solutions.
- Impactful Work: Directly contribute to improving healthcare outcomes and financial performance for leading healthcare organizations.
CareTalk Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
California applicants: Please review our California Applicant Privacy Notice at Collection before applying. The notice explains the categories of personal information we collect, how we use and retain it, whether we sell or share it, and your privacy rights under California law: .
Originally posted on Himalayas