Sr Manager Application Science- Software Strategy and Workflow
Thermo Fisher Scientific
- Location
- South San Francisco, California, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 76 approvals (FY2023)
- Posted
- Aug 13, 2026
About this role
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Discover Impactful Work The Senior Manager, Application Science - Software Workflow and Strategy, leads a team that represents the scientific voice of the customer across the Genetic Sciences Division software portfolio. This role sits at the intersection of genetics, AI, laboratory workflows, and software development, translating customer needs and scientific use cases into actionable guidance for software teams. This leader brings deep domain expertise in genetics or proteomics workflows, strong fluency in scientific software development, and the ability to work effectively across Product Management, UX, Software Engineering, Quality, Regulatory, and Commercia l teams. This is not a hands-on software development role; rather, it requires someone who can translate scientific and workflow needs into actionable guidance for software teams. A critical part of the role is helping define how AI, automation, and evolving lab-in-the-loop workflows can make genetic and proteomic scientists more effective by simplifying workflows, supporting interpretation, and reducing manual effort. The successful candidate will connect strategy to execution, helping shape future direction while ensuring teams can act on it effectively. Location This is a fully onsite role based at our South San Francisco, CA office. Carlsbad, CA and Pleasanton, CA may also be considered as alternative work locations. Relocation assistance is not provided for this position.
Key Responsibilities
Scientific Leadership Lead and develop a high-performing team that represents customer scientific workflows across the GSD software development lifecycle . Provide domain leadership in genetics and proteomic workflows to ensure software solutions align with real laboratory needs. Strategy and Workflow Direction Partner with Product Management to provide scientific and workflow input into software strategy, roadmap planning, and long-range priorities. Help define future-state laboratory workflows, including how AI and automation can improve the experience of genetic scientists , and translate that vision into actionable guidance for software teams. Customer and Workflow Translation Engage with customers, key opinion leaders, and internal stakeholders to understand workflow pain points, unmet needs, and emerging expectations. Translate scientific and workflow insights into clear use cases , requirements guidance, and development inputs for software teams. Cross-Functional and Team Leadership Work effectively across Product Management, UX, Software Engineering, Quality, Regulatory, and Commercial teams to guide scientifically grounded software decisions in a matrixed environment. Lead through influence while building team capability, driving strong execution, and connecting strategic priorities to day-to-day action. Keys to Success Education Advanced degrees in Genetics, Proteomics, Genomics, Molecular Biology, Biomedical Sciences, or a related field, with significant experience in genetics or genomics, including hands-on understanding of laboratory workflows, downstream analysis, and biological interpretation.
Experience
Demonstrated interest in and practical understanding of how AI can improve scientific software and laboratory workflows. Proven ability to think strategically and contribute to future workflow and software direction, not