Sr. Data Scientist - Process Modeling

Career Category Scientific Job Description Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Sr.Data Scientist - Process Modeling What you will do Let’s do this. Let’s change the world. In this vital role you will join the Digital Process and Systems Analysis group within Process Development plays a key role in providing data infrastructure, platforms, and analytics to support engineering teams across our network, ensuring state-of-the-art data insights to drive innovation and efficiency for the commercialization and optimization of Amgen’s pipeline. This group also supports key priorities and the development of strategies for digital process development for both biologic and synthetic moieties. This position is part of a team advancing biologics drug-substance modeling and the digitization of tech-transfer workflows. As new modeling capabilities are developed and information is parameterized, opportunities abound to deploy modeling tools to enable early insights and phase-appropriate decision-making. These capabilities support drug substance development, technology transfer, manufacture, and life-cycle management across Amgen’s global network of manufacturing and development sites. This role will contribute to the success of Drug Substance Technology organization by helping to digitize workflows to drive improvements in technology transfer timelines and ensure right-first-time success. As a Sr. Data Scientist, you will evaluate and improve Amgen’s digital assets, collaborating as part of a multi-disciplinary team of scientists and engineers on a wide range of problems. The position will lead to solutions for open-ended “no single right answer” challenges, including modeling, data pipelines, and visualizations to support drug substance development, tech transfer, and manufacturing. The Sr. Data Scientist will also be responsible for determining, defining, and tracking performance improvements. Responsibilities : Leverage tech-transfer and process-modeling domain knowledge to drive implementation of digital technologies Digital Product Ownership of tech-transfer digital applications, focused initially on expansion of digital process-modeling for the DS network Change management to integrate tech transfer digital applications into product teams Development of data products to enable FAIR data for tech transfer/NPI Enable AI Agentic workflows for DST modeling assets Collaborate with digital product teams to build and integrate modeling assets into business processes for DST Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for Amgen products Make business recommendations (cost-benefit, forecasting, scenario analysis) with effective presentation of findings to varied levels of stakeholders Contribute to establishing a robust data science strategy by providing recommendations related to process monitoring, data engineering, analytic platforms, analysis plans, and other relevant areas of data science What we expect of you We are all different, yet we all use our unique contributions to serve patients. The Data Scientist professional we seek is an individual with these qualifications. Basic Qualifications: Doctorate degree OR Master’s degree and 2 years of Data Science or Engineering experience OR Bachelor’s degree and 4 years of Data Science or Engineering experience OR Associate’s degree and 8 years of Data Science or Engineering experience OR High School diploma or GED and 10 years of Data Science or Engineering experience Preferred Qualifications: MS degree or doctorate in an engineering or scientific field with demonstrated capability in application of data science. Chemical Engineering modeling, drug-substance, tech-transfer experience 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) Experience with AGILE software development methodologies Experience with Databricks, coding languages (Python, SQL), AI Tools (Chat GPT, Codex, GenieCode), React, and BI tools (Spotfire/Tableau/Power BI) Experience in developing AI applications for process development workflows and integrating AI solutions into process development business processes Experience with process modeling for cell-culture, harvest,and purification scale-up Demonstrated performance in application of digital tools to solve analytical problems Demonstrated effective written and verbal communication skills Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques as well as manage team members and deliverables. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications. In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include: 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, and flexible spending accounts A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies. Apply now and make a lasting impact with the Amgen team. careers.amgen.com In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Application deadline Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position. Sponsorship Sponsorship for this role is not guaranteed. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider