Winter 2025 Co-op - Data Science PAT, Signal and Image Processing
2025 年冬季合作社 - 数据科学 PAT、信号和图像处理
Framingham, Massachusetts 马萨诸塞州弗雷明汉Cambridge, Massachusetts 马萨诸塞州剑桥 Internship 实习 Date posted 发布日期 Aug. 28, 2024 2024 年 8 月 28 日
About the job 关于工作
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
我们是一家创新型全球医疗保健公司,只有一个目标:追求科学奇迹,改善人们的生活。我们也是一家您可以蓬勃发展和发展自己职业生涯的公司,拥有无数的机会去探索、与人建立联系,并拓展您认为可能的极限。准备好开始了吗?
**At this time, Sanofi will not sponsor a new applicant for employment authorization or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). **
**目前,赛诺菲不会担保新申请人获得就业授权或为此职位提供任何移民相关支持(即H1B、F-1 OPT、F-1 STEM OPT、F-1 CPT、J-1、TN ,或其他类型的工作授权)。 **
Overview: 概述:
As an innovative global healthcare company, Sanofi strives to transform the practice of medicine by pursuing the development of new vaccines and medicines with the potential to make life better for patients, families, and communities. At Sanofi, we focus, we push our limits to chase the miracles of science to improve people’s lives.
作为一家创新型全球医疗保健公司,赛诺菲致力于通过开发新疫苗和药物来改变医学实践,从而改善患者、家庭和社区的生活。在赛诺菲,我们专注、突破极限,追逐科学奇迹,以改善人们的生活。
We are seeking a talented and highly motivated Co-Op in Data Science to join our Process Analytical Technology (PAT) R&D group, part of the Global CMC Development organization at Sanofi US. This position is intended for a 6-month (24 weeks) period and offered as a hybrid position with remote and in-person components in our Cambridge and/or Framingham, MA offices.
我们正在寻找一位才华横溢、积极进取的数据科学合作伙伴加入我们的过程分析技术 (PAT) 研发团队,该团队是赛诺菲美国全球 CMC 开发组织的一部分。该职位为期 6 个月(24 周),在我们的剑桥和/或马萨诸塞州弗雷明汉办事处提供远程和面对面的混合职位。
The PAT R&D group develops, implements, and introduces new in-line, on-line and at-line real time or “near” real-time analytical technology to support production and purification operations for biomanufacturing of a wide variety of molecules and modalities.
PAT 研发小组开发、实施和引入新的在线、在线和在线实时或“近”实时分析技术,以支持各种分子和模式的生物制造的生产和纯化操作。
Participating in a Co-Op at Sanofi US equips students and researchers with hands-on industrial experience, skills and industry knowledge, enabling them to apply their academic and research expertise in a real-world pharmaceutical setting. It also offers valuable exposure to the growing role of AI, along with insights into how it is transforming drug manufacturing processes
参加赛诺菲美国的合作项目可以为学生和研究人员提供实践行业经验、技能和行业知识,使他们能够在现实世界的制药环境中应用他们的学术和研究专业知识。它还提供了对人工智能日益增长的作用的宝贵接触,以及对它如何改变药品制造流程的见解
Position Description: 职位描述:
As a data scientist, the candidate will contribute to the development, validation and testing of classical machine learning and deep learning models for sensor signal and image processing for monitoring and control applications in biomanufacturing. The candidate will work in a cross-functional environment and receive mentorship from members of the Process Analytical Technology, Data Sciences and Process Development teams at Sanofi.
作为一名数据科学家,候选人将致力于开发、验证和测试用于生物制造中监测和控制应用的传感器信号和图像处理的经典机器学习和深度学习模型。候选人将在跨职能环境中工作,并接受赛诺菲流程分析技术、数据科学和流程开发团队成员的指导。
Key responsibilities 主要职责
Develop, train, validate and test models (soft sensors) using machine learning and deep learning methods (classical and state of the art) applied for regression of time series sensor signals and/or image processing to monitor critical process parameters (CPP) and critical quality attributes (CQA) in production processes of therapeutic molecules.
使用机器学习和深度学习方法(经典和最先进的)开发、训练、验证和测试模型(软传感器),应用于时间序列传感器信号和/或图像处理的回归,以监控关键过程参数(CPP)和关键过程参数治疗分子生产过程中的质量属性(CQA)。Responsible for planning, executing, documenting, and interpreting modeling work and results with appropriate supervision and support documentation.
负责规划、执行、记录和解释建模工作和结果,并提供适当的监督和支持文档。Author scientific reports, operational documentation and deliver scientific presentations
撰写科学报告、操作文档并进行科学演示
Basic qualifications: 基本资格:
Currently pursuing a PhD candidate or Master's degree in Data Science, Data Analytics, Information Technology, Computer Science, Engineering (Chemical, Biochemical, Electrical, Mechanical) or a related field.
目前正在攻读数据科学、数据分析、信息技术、计算机科学、工程(化学、生化、电气、机械)或相关领域的博士生或硕士学位。Must be enrolled in school the semester following your co-op with Sanofi.
必须在与赛诺菲合作后的学期入学。Must be able to work in our office location in a hybrid model and work 40 hrs./week (Monday-Friday) for the full duration of the internship.
必须能够在我们的办公地点以混合模式工作,并在整个实习期间每周工作 40 小时(周一至周五)。Must have permanent US work authorization.
必须拥有美国永久工作许可。
Preferred Qualifications:
首选资格:
Advanced to proficient level in classical machine (ML) and deep learning (DL) methods with relevant hands-on experience in sensor signal and image processing techniques (architectures, feature extraction, transfer and multimodal learning).
精通经典机器 (ML) 和深度学习 (DL) 方法,并具有传感器信号和图像处理技术(架构、特征提取、迁移和多模态学习)方面的相关实践经验。Advanced to proficient level in Python, open-source libraries, and deep learning frameworks (e.g., TensorFlow, Keras, OpenCV, PyTorch, etc.).
精通Python、开源库和深度学习框架(例如TensorFlow、Keras、OpenCV、PyTorch等)。Relevant knowledge, coursework, and/or experience in time series processing.
时间序列处理的相关知识、课程和/或经验。Relevant knowledge, coursework, and/or experience with high performance computing (HPC) platforms or AWS (Amazon Web Services).
具有高性能计算 (HPC) 平台或 AWS(亚马逊网络服务)的相关知识、课程和/或经验。Self-motivation, curiosity, and willingness for continuous learning.
自我激励、好奇心和持续学习的意愿。Critical thinking, strong attention to detail and organizational skills.
批判性思维、对细节的高度关注和组织能力。Ability to work both independently and in a team-oriented environment under assigned project timelines.
能够在指定的项目时间表下独立工作并在以团队为导向的环境中工作。
Why Choose Us 为什么选择我们
Bring the miracles of science to life alongside a supportive, future-focused team.
与支持、着眼未来的团队一起将科学奇迹变为现实。Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
发现无限的机会来发展你的才能并推动你的职业生涯,无论是通过晋升还是横向调动,无论是在国内还是国际。Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
享受周到、精心设计的奖励方案,以表彰您的贡献并扩大您的影响力。Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.
照顾好自己和家人,享受广泛的健康和福祉福利,包括高质量的医疗保健、预防和保健计划以及至少 14 周的不分性别的育儿假。
Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.
赛诺菲公司及其美国附属公司是平等机会和平权行动雇主,致力于培养文化多元化的员工队伍。所有符合资格的申请人都将获得就业考虑,不考虑种族;颜色;信条;宗教;国籍;年龄;祖先;国籍;婚姻、同居伴侣或民事结合状况;性别、性别、性别认同或表达;情感或性取向;残疾;退伍军人或军人身份或军人身份责任;家庭暴力受害者状况;非典型细胞或血液特征;遗传信息(包括拒绝接受基因检测)或任何其他受法律保护的特征。
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Pursue progress. Discover extraordinary.
追求进步。发现非凡。
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
没有人,进步就不会发生——来自不同背景、在不同地点、扮演不同角色的人们,都因为一件事团结在一起:渴望创造奇迹。你可以成为这些人中的一员。追逐变革、拥抱新想法并探索我们提供的所有机会。让我们追求进步。让我们一起发现非凡。
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com
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