AbbVie Logo

AbbVie

Senior Scientist I/II, Analytical Development

Posted 10 Days Ago
Be an Early Applicant
Hybrid
San Diego, CA
110K-209K Annually
Senior level
Hybrid
San Diego, CA
110K-209K Annually
Senior level
Leads analytical method development and characterization for mRNA therapeutics and lipid nanoparticle formulations. Develops, troubleshoots, qualifies, and transfers analytical methods for RNA, lipids, impurities, oligonucleotides, and proteins. Designs analytical strategies, optimizes and automates workflows, investigates complex technical issues, and supports product characterization, comparability, stability, and process understanding. Collaborates cross-functionally, mentors junior scientists, represents Analytical Development teams, and authors technical documentation.
The summary above was generated by AI
Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

We are seeking a Senior Scientist II to join our experienced, fast-paced, and collaborative Analytical Development team. The successful candidate will provide scientific and technical leadership for analytical characterization of mRNA-based therapeutics and targeted lipid nanoparticle formulations.

This role will focus on developing and implementing robust analytical methods for pipeline support, with particular emphasis on RNA and lipids characterization, routine assay development, workflow optimization, and laboratory automation. The scientist will work closely with discovery, formulation, process development, and other cross-functional partners to advance product and process understanding, support candidate selection, and expand the analytical capabilities of the mRNA and lipid nanoparticle platform.

Key Responsibilities

  • Lead analytical method development and characterization activities for mRNA drug substance and mRNA-based lipid nanoparticle programs, with emphasis on pipeline support and candidate selection.
  • Develop, implement, and troubleshoot fit-for-purpose methods for routine and non-routine analysis of RNA, lipids, lipid-related impurities, oligonucleotides, and proteins using techniques such as liquid chromatography with various detection modes (e.g. UV, CAD, MS, MALLS, Fl), capillary electrophoresis, and plate-based assays.
  • Design analytical strategies that support product characterization, process understanding, comparability, stability, and method qualification or transfer activities, as needed.
  • Establish efficient, reproducible workflows for analytical testing, data processing, and interpretation, and identify opportunities to streamline or automate routine activities.
  • Investigate complex analytical problems, evaluate emerging technologies, and introduce new capabilities that address program and platform needs.
  • Partner with formulation, discovery, process development, and other cross-functional teams to characterize lipid nanoparticle composition, product quality attributes, and related impurities.
  • Contribute to characterization of plasmids and assessment of relationships between plasmid attributes and mRNA product quality, as appropriate.
  • Represent Analytical Development on pipeline, technology development, and platform teams, and communicate results, risks, and recommendations clearly to stakeholders.
  • Provide scientific guidance and technical mentorship to junior scientists and contribute to analytical best practices within the sub-team.
  • Author and review technical reports, analytical procedures, study protocols, and other scientific documentation.

Qualifications

Qualifications

Required

  • Sr. Scientist I: Bachelor’s Degree or equivalent education and typically 10 years of experience, Master’s Degree or equivalent education and typically 8 years of experience, PhD with no additional experience.
  • Sr. Scientist II: Bachelor’s Degree or equivalent education and typically 12 years of experience, Master’s Degree or equivalent education and typically 10 years of experience, PhD and typically 4 years of experience.
  • Experience developing analytical methods for RNA, oligonucleotides, lipids, biologics, or other complex therapeutic modalities.
  • Strong understanding of analytical method development, troubleshooting, data interpretation, and fit-for-purpose method design.
  • Demonstrated ability to independently define scientific approaches, solve complex technical problems, and lead analytical activities.
  • Strong technical writing and documentation skills.
  • Strong written and verbal communication skills and demonstrated ability to work effectively in multidisciplinary teams.

Preferred

  • Experience characterizing mRNA drug substance, lipid nanoparticles, plasmids, or lipid-related impurities.
  • Experience with capillary electrophoresis, MALS, mass photometry, plate-based assays, or complementary biophysical techniques.
  • Experience implementing automated or high-throughput analytical workflows.
  • Experience with analytical method transfer, qualification, stability, or comparability studies.
  • Experience mentoring scientists or providing technical direction within a project or sub-team environment.

Why this version is stronger

  • Clarifies the primary mission: pipeline RNA characterization and routine analytical support are positioned as the main responsibilities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
  • This job is eligible to participate in our long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

AbbVie Redwood, California, USA Office

Redwood, United States, United States

AbbVie San Francisco, California, USA Office

San Francisco, United States

Similar Jobs

7 Minutes Ago
Hybrid
Pleasanton, CA, USA
175K-219K Annually
Senior level
175K-219K Annually
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Partners with Product and Engineering leaders on budgets, forecasts, strategic plans, reporting, profitability analysis, product roadmaps, capital allocation, and business cases. Builds financial models using large datasets, supports product-line financial statement accuracy, enhances finance systems, and applies automation and AI to finance processes. Presents insights to executives and serves as the finance expert for product and technology investments.
Top Skills: AdaptiveAnaplanHyperionLookerSQLTableau
12 Minutes Ago
In-Office
Entry level
Entry level
Events • Food • Travel • Hospitality • Hotels & Resorts
Supervise daily restaurant operations, maintain guest service and product quality standards, guide team members during shifts, assist with scheduling and mentoring, address guest concerns, support food and beverage sales, and ensure compliance with health, safety, sanitation, and alcohol regulations.
12 Minutes Ago
In-Office
Entry level
Entry level
Events • Food • Travel • Hospitality • Hotels & Resorts
Provides food and beverage service at banquet events, delivers friendly guest experiences, enters orders into a point-of-sale system, maintains stocked and clean service stations, clears tableware, assists with event setup, and follows health, safety, sanitation, and alcohol-awareness regulations.
Top Skills: Point-Of-Sale System

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account