
10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $142k - $192.1k / year
⏰ Full Time
🟠 Senior
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1980
🏥 Healthcare
🧬 Biotechnology
💊 Pharmaceuticals
💰 $28.5G Post-IPO Debt on 2022-12
Healthcare • Biotechnology • Pharmaceuticals
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.
• Serve as the scientific Senior Scientist Business Owner for digital tools, workflows, and data supporting molecular cloning and individual construct and plasmid design across biologics discovery • Connect scientists with data and technology teams by translating scientific needs into product priorities, system requirements, and scalable digital capabilities • Help scientists use and improve tools supporting construct design, sequence registration, cloning, and related experimental workflows • Own the scientific data domain for cloning workflows • Define representation and relationships for sequences, components, constructs, vectors, plasmids, molecule formats, and related experiments across scientific applications • Partner with Business Owners, software engineers, business analysts, and data teams on data-model implementation and system integrations • Lead meetings with molecular biologists, cloning scientists, protein engineers, and other biologics discovery users • Translate scientific needs into data and workflow requirements and explain scientific concepts to technical teams • Partner with technology teams through design, implementation, testing, release, and adoption • Lead requirements reviews and coordinate user training and acceptance testing • Coordinate release communication, training, and adoption for new capabilities • Define standard ways of working for capturing high-quality molecular biology design data • Improve data quality and readiness for downstream automation, analytics, and ML/AI-enabled discovery
• Doctorate degree OR Master’s degree and 2 years of relevant experience OR 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 • 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 • Experience translating scientific workflows into informatics tools, structured data, standard processes, and implementation guidance • 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 • Ability to work effectively across scientific and technical teams
• A comprehensive employee benefits package, including a 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 • Flexible work models where possible • Career development opportunities • Work/life balance support
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