Summer 2027 Data Science R&D Graduate Intern
公司：高标健康工作说明：申请人必须获得美国独立工作的授权。目前，我们不提供签证赞助本职位.2027年夏季数据科学研究与开发 (DSRD) 研究生实习为研究生应用先进数据科学，机器学习，人工智能和软件工程技术来解决复杂的临床和医疗挑战。该实习专业是针对热衷于利用尖端技术改善医疗保健成果，推动医学研究和推动创新在整个卫生行业的人员设计的。作为数据科学研究与开发团队成员，实习生将与多学科的研究人员，数据科学家，机器学习工程师和软件开发者合作，以利用临床，医疗和医疗保险数据开发创新解决方案。实习生们将获得在高影响性研究举措上工作经验，直接通过先进分析，预测建模，人工智能，图形技术，计算机视觉和生成 AI 来支持医疗保健转型。实习围绕四个专业研究轨道进行结构，允许参与者与他们的技术背景和研究兴趣结合工作：· 知识图表：设计和优化基于图的医疗保健数据模型，开发 GraphQL 接口，并利用 Graph Neural Networks (GNNs) 和 GraphRAG 架构来增强预测分析和知识发现。·医学成像：建立图像处理管道并为临床图像分析，解剖分类和病理分类开发计算机视觉模型。·预测建模：开发专注于医疗保健风险预测，疾病进展和患者结果预测的机器学习模型，同时确保模型可解释性和公平性。· AI 应用：设计和评估先进的 AI 代理框架，自然语言处理解决方案，快速工程策略以及使用新兴生成人工智能技术进行临床信息提取工作流程。参与者将为创新的研究项目做出贡献，协助分析解决方案的设计和发展，开展模型评价和实验，并向技术和商业观众传播发现。
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Company :
Highmark HealthJob Description :
Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.
The Summer 2027 Data Science Research & Development (DSRD) Graduate Internship offers an exciting opportunity for graduate students to apply advanced data science, machine learning, artificial intelligence, and software engineering techniques to solve complex clinical and healthcare challenges.
This internship is designed for highly motivated individuals who are passionate about leveraging cutting-edge technology to improve healthcare outcomes, advance medical research, and drive innovation across the healthcare industry.
As a member of the Data Science Research & Development team, the intern will collaborate with a multidisciplinary group of researchers, data scientists, machine learning engineers, and software developers to develop innovative solutions utilizing clinical, medical, and healthcare insurance data. Interns will gain hands-on experience working on high-impact research initiatives that directly support healthcare transformation through advanced analytics, predictive modeling, artificial intelligence, graph technologies, computer vision, and generative AI.
The internship is structured around four specialized research tracks, allowing participants to align their work with their technical background and research interests:
- Knowledge Graphs: Design and optimize graph-based healthcare data models, develop GraphQL interfaces, and leverage Graph Neural Networks (GNNs) and GraphRAG architectures to enhance predictive analytics and knowledge discovery.
- Medical Imaging: Build image processing pipelines and develop computer vision models for clinical image analysis, anatomical segmentation, and pathology classification.
- Predictive Modeling: Develop machine learning models focused on healthcare risk prediction, disease progression, and patient outcome forecasting while ensuring model explainability and fairness.
- AI Applications: Design and evaluate advanced AI agent frameworks, natural language processing solutions, prompt engineering strategies, and clinical information extraction workflows using emerging generative AI technologies.
Participants will contribute to innovative research projects, assist with the design and development of analytical solutions, conduct model evaluation and experimentation, and communicate findings to technical and business audiences. Through mentorship, collaboration, and applied research, interns will strengthen their technical expertise while gaining valuable exposure to healthcare data science, artificial intelligence, and enterprise-scale innovation.
SUMMARY OF JOB RESPONSIBILITIES
This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands-on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.
REQUIRED QUALIFICATIONS
- Bachelor’s degree.
- Pursuance of a graduate degree full or part-time in an accredited college or university.
PREFERRED QUALIFICATIONS
- Currently pursuing a Master's or Ph.D. degree in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or a related quantitative discipline.
- Strong programming experience in Python.
- Experience utilizing modern data science libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and/or TensorFlow.
- Proficiency in SQL and relational database concepts.
ESSENTIAL JOB FUNCTIONS
1. Communicate effectively. This position displays effective communication skills while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day-to-day operational problems.
2. Under supervision, provide professional services as appropriate to the day-to-day operating objectives of the area. Receives guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments.
3. Undertake and/or participate in projects and programs designed to develop professional skills and expertise appropriate to the needs of the organization.
4. Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability.
5. As specifically requested by management, conducts research and reporting inclusive of recommendations or alternative proposals for action.
6. Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.
7. Perform miscellaneous job-related duties as assigned.
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Pay Range Minimum:
Pay Range Maximum:
Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
California Consumer Privacy Act Employees, Contractors, and Applicants Notice
Originally posted on Himalayas