合作项目,数据科学与人工智能创新
Co-op, Data Science & AI Innovation
职位名称:实习,数据科学与人工智能创新
工作地点:美国远程办公
工作地点类型:远程
工作合同类型:全职
职位级别:
关于该职位:
此职位为2027年1月至6月的6个月学生实习岗位。简历审核将于2026年10月开始。
组合数据与数字创新(PDDI)是一个跨学科团队,致力于改变发展部门如何利用数据、技术和人工智能做出更快、更明智的决策。我们汇聚了组合分析、数据管理、AI/ML创新、Planisware技术以及数字产品交付方面的专业知识,打造可扩展的解决方案,提升组合可见性,优化运营流程,并加速决策过程。通过Project FORWARD、AI驱动的自动化、组合智能工具和连接的数据基础等举措,PDDI与发展的各个部门、财务、IT及其他职能合作,推动创新,加强治理,使组织更加数据驱动和敏捷。
你将负责:
作为组合数据与数字创新(PDDI)团队的一员,你将帮助塑造百健研发组合中数据驱动决策的未来。与数据科学家、组合策略师、数据工程师和业务领导者一起,你将开发AI驱动的解决方案,提高组合可见性,加速决策过程,提升数据质量,并优化运营流程。你将参与整个解决方案生命周期,从数据获取和工程到模型开发、部署、监控和持续改进。
主要职责包括:
- 与数据科学家、组合分析师和领域专家合作,开发并部署创新的AI和分析解决方案。
- 设计和实现机器学习、预测分析和决策支持模型,解决实际的组合和运营挑战。
- 开发交互式仪表板、报告工具和数据产品,将复杂的数据转化为可操作的见解。
- 研究和评估新兴的AI、机器学习和代理AI技术,并识别在制药研发中的应用机会。
- 与发展、组合管理和运营部门的利益相关者合作,了解业务需求并提供可扩展、高影响力的解决方案。
- 参与数据管道、AI平台和软件的设计与维护
查看英文原文
Job Title: Co-op, Data Science & AI Innovation
Job Location: Remote, USA
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level:
About the Role:
This application is for a 6-month student role from January - June 2027. Resume review begins in October 2026.
Portfolio Data & Digital Innovation (PDDI) is a multidisciplinary team dedicated to transforming how Development leverages data, technology, and artificial intelligence to make faster, better-informed decisions. We bring together expertise in portfolio analytics, data management, AI/ML innovation, Planisware technology, and digital product delivery to create scalable solutions that improve portfolio visibility, streamline operations, and accelerate decision-making. Through initiatives such as Project FORWARD, AI-powered automation, portfolio intelligence tools, and a connected data foundation, PDDI partners across Development, Finance, IT, and other functions to drive innovation, strengthen governance, and enable a more data-driven and agile organization.
What You’ll Do:
As a member of the Portfolio Data & Digital Innovation (PDDI) team, you will help shape the future of data-driven decision making across Biogen's R&D portfolio. Working alongside data scientists, portfolio strategists, data engineers, and business leaders, you will develop AI-powered solutions that improve portfolio visibility, accelerate decision-making, enhance data quality, and streamline operational workflows. You will contribute across the full solution lifecycle, from data acquisition and engineering to model development, deployment, monitoring, and continuous improvement.
Key responsibilities include:
- Collaborate with data scientists, portfolio analysts, and subject matter experts to develop and deploy innovative AI and analytics solutions.
- Design and implement machine learning, predictive analytics, and decision-support models that address real-world portfolio and operational challenges.
- Develop interactive dashboards, reporting tools, and data products that translate complex data into actionable insights.
- Research and evaluate emerging AI, machine learning, and agentic AI technologies and identify opportunities to apply them within pharmaceutical R&D.
- Partner with stakeholders across Development, Portfolio Management, and Operations to understand business needs and deliver scalable, high-impact solutions.
- Contribute to the design and maintenance of data pipelines, AI platforms, and software products that support enterprise decision-making.
- Promote responsible AI practices, model transparency, and continuous learning through experimentation and innovation.
Example projects may include:
- Building AI agents that automate portfolio reporting, risk identification, and data reconciliation workflows.
- Developing predictive and prescriptive analytics to support portfolio prioritization and strategic planning.
- Developing scalable data pipelines and ETL processes that integrate data from Planisware, quality systems, financial systems, and other enterprise platforms.
- Supporting the design, optimization, and governance of Biogen's Snowflake-based data ecosystem, enabling trusted, AI-ready data products and analytics.
- Creating machine learning models and decision-support tools for resource forecasting, quality analytics, and operational intelligence.
- Developing Project FORWARD capabilities that connect data, AI, and workflow automation to enable a more proactive and intelligent portfolio management ecosystem.
Who You Are:
You are a curious, collaborative, and impact-oriented candidate who enjoys solving complex business problems through data, analytics, and AI. You combine strong technical skills with a passion for translating innovative ideas into practical solutions that create measurable business value.
Qualifications:
- Proficiency in Python, R, or another programming language commonly used for data science and analytics.
- Strong foundation in machine learning, statistics, and data analysis.
- Familiarity with NLP, LLMs, generative AI, and their underlying methodologies.
- Experience with modern machine learning and deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, or similar platforms.
- Experience building and maintaining data pipelines, ETL workflows, and data integration processes.
- Proficiency in SQL and experience working with enterprise-scale relational and cloud-based data platforms.
- Familiarity with Snowflake, Databricks, or other modern cloud data warehousing technologies.
- Understanding of data modeling concepts, including dimensional modeling, star schemas, and data architecture best practices.
- Ability to communicate technical concepts and analytical findings to both technical and non-technical audiences.
- Strong problem-solving skills and a desire to work collaboratively in a multidisciplinary environment.
- Passion for learning, experimenting with emerging AI technologies, and applying them to business challenges.
Preferred Qualifications:
- Experience developing AI-powered applications, decision-support systems, or data products.
- Experience with Monte Carlo simulation, optimization, forecasting, or decision science methodologies.
- Familiarity with cloud platforms, GitHub, CI/CD pipelines, k8s, containerization, or Linux environments.
- Experience with data visualization and product development frameworks such as Streamlit, Power BI, or similar technologies.
- Experience in pharmaceutical, biotechnology, healthcare, quality, compliance, or R&D portfolio analytics.
- Demonstrated interest in reproducing and implementing state-of-the-art AI and machine learning research.
To participate in the Biogen Internship or Co-op Program, students must meet the following eligibility criteria:
- Legal authorization to work in the U.S.
- At least 18 years of age prior to the scheduled start date.
- Be currently enrolled in an accredited community college, college, university or skills program/apprenticeship.
Education Requirements
Currently pursuing a Master’s degree in Data Science, Statistics, Bioinformatics, Computer Science, Computational Biology, or related field.
Job Level: InternshipAdditional Information
The base compensation range for this role is: $29.00-$29.00The actual hourly wage offered will consider the candidate’s current academic level and degree candidacy, inclusive of Associate, Bachelor’s, Master’s, JD, MD, PhD and MBA programs. It will comply with state or local minimum wage requirements specific to the job location.
In addition to compensation, Biogen offers a range of benefits designed to support our educational employees, including, but not limited to:
- Company paid holidays
- Commuter benefits
- Employee Resource Groups participation
- 80 hours of sick time per calendar year
Why Biogen?
We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.
At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.
All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.
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Originally posted on Himalayas