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[Remote] Sr Scientist, Molecular Biology Scientific Data
Note: The job is a remote job and is open to candidates in USA. Amgen is a biotechnology company focused on researching, manufacturing, and delivering innovative medicines for serious illnesses. The Senior Scientist, Molecular Biology Scientific Data serves as the scientific business owner for digital tools, workflows, and data supporting molecular cloning and individual construct and plasmid design across biologics discovery. The role translates scientific needs into product priorities, system requirements, data models, and scalable digital capabilities while coordinating with scientific and technology teams.
Responsibilities
- Lead meetings with molecular biologists, cloning scientists, protein engineers, and other biologics discovery users, and serve as a knowledgeable point of contact for their scientific workflow and tool-related needs
- Translate scientific needs into clear data and workflow requirements, and explain complex scientific concepts to software engineers and business analysts
- Partner with technology teams through design, implementation, testing, release, and adoption to confirm that solutions meet the original scientific need, while maintaining clear communication about scope, decisions, risks, and dependencies
- Ensure the data model supports workflows for individual construct and plasmid design and accurately represents established and emerging individual-molecule formats
- Define the scientific relationships and data linkages needed across applications, and partner with data and technology teams on their implementation and maintenance
- Lead scientific requirements reviews and coordinate user training and acceptance testing using representative workflows, molecule formats, data, and edge cases
- Coordinate release communication, training, and adoption for new capabilities
- Define and reinforce standard ways of working for capturing high-quality molecular biology design data
- Provide scientific context as workflows and molecule formats evolve, helping data and technology teams identify gaps and improve data quality across scientific systems
- Improve the readiness of molecular biology design data for downstream automation, analytics, and ML/AI-enabled discovery
Skills
- Doctorate degree
- Master's degree and 2 years of relevant experience
- Bachelor's degree and 4 years of relevant experience
- * Degree in Molecular Biology, Protein Engineering, Structural Biology, or a related scientific field
- * Strong knowledge of molecular cloning and plasmid design workflows, supported by prior hands-on cloning or individual construct-design experience in a research or biotechnology environment
- * Expertise in antibody-based molecule formats, including antibody fragments and multispecifics, with the ability to interpret how domains are organized within and across chains and how features define the resulting architecture
- * Experience translating scientific workflows into informatics tools, structured data, standard processes, and implementation guidance for technical teams
- * Experience owning or stewarding a scientific product, workflow, data domain, roadmap, or feature backlog
- * Working knowledge of scientific data models, controlled terminology, metadata, identifiers, entity relationships, versioning, lineage, and cross-system data integration
- * Experience with sequence design, construct registration, laboratory informatics, or comparable scientific platforms
- * Experience leading requirements reviews, user acceptance testing, troubleshooting, release readiness, and user adoption
- * Familiarity with agile software delivery and preparing scientific data for analytics or ML/AI use
- * Strong facilitation, prioritization, problem-solving, organizational, and communication skills, with the ability to work effectively across scientific and technical teams
Benefits
- Health and welfare plans for staff and eligible dependents
- Retirement and Savings Plan with generous company contributions
- Group medical, dental and vision coverage
- Life and disability insurance
- Flexible spending accounts
- A discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Career development opportunities
- Flexible work models where possible
Company Overview
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