招聘
福利待遇
•Healthcare
•401(k)
•Gym
•Mental Health
必备技能
Analytical chemistry
LC/MS
Automation design
Data integration
English
Mandarin
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
About the Role
The Discovery Analytical Automation Scientist will design, develop, and deploy **high-throughputanalytical automation modules(i.e., PCR, LC and LC/MS, etc.)**to support the discovery high-throughput chemistry/biology automation workcell. This role is pivotal in enabling AI-driven drug design and lead optimization, ensuring rapid, high-quality analytical data generation that fuels iterative learning and predictive design.
Working in Shanghai, the scientist will partner with external engineering companies to deliver state-of-the-art automation systems and collaborate internally with the Discovery Lab Operations Lead, Discovery Synthetic Chemistry/Biology Automation Scientist, and global Discovery and Analytical teams to ensure consistent analytical strategy, workflow integration, and alignment with Lilly’s global standards.
Key Responsibilities
Automation System Development & Integration
- Partner with external automation and engineering vendors to design, build, and validate high-throughput analytical automation systems (i.e. LC and LC/MS).
- Define analytical workflow specifications and ensure seamless integration with the synthetic chemistry/structure biology automation workcell.
- Oversee installation, qualification, and performance verification to ensure robust data quality and operational reliability.
- Integrate analytical systems with AI-driven data and feedback pipelines to support automated decision-making.
Discovery Analytical Operations
- Develop automated workflows for compound identification, purity assessment, structural elucidation, and high-throughput screening.
- Establish and maintain SOPs aligned with Lilly global Discovery and Analytical standards.
- Partner with the Discovery Synthetic Chemistry/Biology Scientist to optimize analytical turnaround time for iterative DMTA cycles.
- Ensure structured FAIR data capture, semantic contextualization, and full data traceability within the Enterprise Data Lake (EDL).
Scientific & Technical Leadership
- Apply deep expertise in LC, LC/MS, NMR, and related analytical techniques to guide automation design and scientific strategy.
- Evaluate and implement emerging analytical and automation technologies to enhance lab capability and throughput.
- Collaborate closely with global Discovery and informatics teams to connect analytical data streams with predictive modeling, knowledge extraction, and design algorithms.
- Represent Shanghai’s analytical automation capabilities in global cross-site technical forums and strategy discussions.
Qualifications & Experience
Required:
- Ph.D. or Master’s degree in Analytical Chemistry, Pharmaceutical Sciences, or related field.
- 7+ years of experience in a pharma discovery analytical lab, supporting compound characterization, identification, and structure elucidation.
- Proven hands-on expertise with LC and LC/MS systems (Agilent, Waters, Sciex, Thermo).
- Strong understanding of data automation, system integration, and analytical digitalization.
- Excellent communication skills in English and Mandarin with demonstrated cross-functional collaboration.
Preferred:
- Experience in NMR, high-throughput screening, and early discovery analytical workflows.
- Background in automation design or robotics integration.
- Familiarity with data analytics and informatics platforms (e.g., Spotfire, R-Shiny, Pipeline Pilot).
- Prior experience collaborating with global discovery teams and managing external engineering vendors.
- Experience establishing new analytical lab infrastructure is highly desirable.
Why Join Us
- Build and lead a state-of-the-art analytical automation platform within Lilly’s global discovery network.
- Collaborate with world-class scientists and engineers across chemistry, biology, and AI.
- Shape the future of autonomous drug discovery by integrating advanced analytics, automation, and AI.
- Be part of a mission-driven team accelerating the path from molecule design to life-changing medicines.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
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关于Eli Lilly

Eli Lilly
PublicEli Lilly and Company, doing business as Lilly, is an American multinational pharmaceutical company headquartered in Indianapolis, Indiana, with offices in 18 countries. Its products are sold in approximately 125 countries.
10,001+
员工数
China
总部位置
$588B
企业估值
评价
3.1
1条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
2.0
职业发展
3.0
管理层
2.5
35%
推荐给朋友
优点
Higher base pay (+$10K)
Higher bonus target
Good benefits package
缺点
Toxic culture
Less PTO to start
Poor work environment
薪资范围
54个数据点
Mid/L4
Senior/L5
Mid/L4 · ADVISOR - DATA SCIENTIST - AADS
1份报告
$200,168
年薪总额
基本工资
$153,975
股票
-
奖金
-
$200,168
$200,168
面试经验
2次面试
难度
2.5
/ 5
时长
14-28周
录用率
100%
体验
正面 50%
中性 50%
负面 0%
面试流程
1
Application Review
2
HR Screen
3
Phone/Video Interview
4
Hiring Manager Interview
5
Final Interview/Panel
6
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Industry Knowledge
Technical Knowledge
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