Lilly Posted September 7, 2026

RNA Automation Specialist (NGS sequencing Focus)

Shanghai, Shanghai, China FULL_TIME
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About this opportunity

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work, but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

RNA Automation Specialist (NGS sequencing Focus)

Location: Shanghai

Job Type: Full-time

About the Role

We are seeking a highly motivated RNA NGS sequencing Automation specialist to design, optimize, and operate cutting-edge automation platforms to enable novel high-throughput RNA therapeutics research workflows. The individual hired into this role will be a mission-critical bridge between wet-lab biology and automation engineering, developing scalable, accurate, and efficient systems covering RNA purification, sample processing, comprehensive QC analysis, and NGS sequencing workflows

The ideal candidate will bring at least 7 years of hands-on RNA sequencing experience paired with solid expertise in laboratory automation workflow development and deployment. If you are passionate about transforming biological research through automation, this is your opportunity to make a significant impact.

Key Responsibilities

Design and implement validated automation roadmaps for end-to-end RNA analytical workflows, including RNA extraction, RT-qPCR quantification, automated NGS sample preparation, and core QC analysis.

Re-engineer and optimize manual RNA sequencing protocols for full automation, reducing manual workload, minimizing human-induced errors, and significantly improving experimental consistency, reproducibility and throughput.

Partner closely with RNA sequencing scientists, assay development teams, and process engineers to translate scientific requirements into robust, stable, and production-ready automated lab solutions.

Develop standardized SOPs for automated NGS workflows, and provide professional technical training to lab personnel to ensure compliant, safe, and efficient instrument operation.

Integrate, calibrate and operate robotic platforms and automated liquid handling systems to streamline full-process RNA sequencing workflows.

Collaborate with automation, informatics, and data science teams to build and sustain closed-loop automated experimentation for RNA sequencing projects.

Own end-to-end data quality, experimental reproducibility, and standardized technical documentation; lead continuous workflow iteration and process optimization for NGS analysis.

Establish robust data management strategies and support LIMS system integration to enable full data traceability, standardization and digitalization of automated RNA NGS workflows.

Evaluate, benchmark, and deploy emerging automation and analytical technologies to continuously upgrade internal RNA high-throughput NGS sequencing capabilities.

Ensure all automated workflows and instrument operations fully comply with global lab safety specifications and internal R&D regulatory requirements.

Align and collaborate with global LAL teams to establish unified cross-site workflow standards and quality metrics for automated RNA testing.

Maintain regular technical synchronization with global LAL teams; support occasional domestic and international business travel as required.

Qualifications & Experience

Ph.D. in RNA Biology, Biochemistry, or a related life science discipline.

7+ years of hands-on wet-lab experience in RNA research, including RNA extraction, RT-qPCR quantification, siRNA/miRNA characterization, NGS sample preparation and sequencing with proven experience in automation system operation and workflow deployment.

Solid understanding of core RNA biology principles, including RNA structural characteristics, stability properties, and key technical pitfalls in RNA NGS sample processing and testing.

Hands-on experience with mainstream automated liquid handling platforms (Tecan, Hamilton, Labcyte Echo preferred) and independent automation workflow design, configuration and debugging is a strong plus.

Excellent protocol design, troubleshooting and optimization capabilities for automated RNA sequencing workflows.

Practical experience operating and integrating automated RNA instruments, including qPCR systems, NGS sequencing platforms.

Familiarity with Design of Experiments (DOE) and statistical analysis for systematic assay and workflow optimization.

Prior working experience in pharmaceutical or biotech R&D environment is preferred.

Excellent cross-functional communication, global collaboration and teamwork skills to support cross-team and cross-site project delivery.

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.

#WeAreLilly

Job details

Seniority
Not listed
Function
Manufacturing & CMC
Therapeutic area
Not listed
Location
Shanghai, Shanghai, China
Employment type
FULL_TIME

How this role compares

Computed from every other active Manufacturing & CMC role in our database, not just this employer's listings.

We currently track 2556 comparable Manufacturing & CMC roles across 173 biopharma companies.

2556Comparable roles tracked
2344Currently active
173Companies hiring similar roles
56Countries represented

Salary context

663 of 2556 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · Associate Director, Digital Scientific Workflows · Merck $0/hr – $0/hr (≈ $0–$0/yr)
Highest disclosed · VP, CMC Development Technical Strategy · ModernaTX, Inc. $272,200/yr – $490,100/yr
Peer group range $0 – $381,150 (median $122,400)

Where these roles are based

Top locations among the 2556 comparable roles

United States1233
India167
Germany134
France95
Ireland91
Netherlands77

+ 50 more countries

Seniority mix

1172 of 2556 peers have a known seniority level

Senior323
Manager265
Associate154
Intern/Fellow/Postdoc147
Principal88
Director79
Associate Director75
Senior Director34
Executive/VP7

Therapeutic area mix

12 of 2556 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Vaccines & Infectious Disease7
Rare Disease2
Oncology2
Dermatology & Aesthetics1

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.