Assoc. Director - Human Data & Computational Biology

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-drides 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. Position: Assoc. Director - Human Data & Computational Biology What you will do Let’s do this. Let’s change the world. In this vital role you will help establish and lead the Human Data & Computational Biology capability within the Rare Disease Research Team. You will serve as a scientific partner across multiple disease areas, integrating human genetics, multi-omics, patient-derived data, and computational approaches to identify, prioritize, and validate novel therapeutic opportunities. We are seeking a scientist who combines deep computational expertise with strong biological intuition and a passion for understanding disease mechanisms. Key Responsibilities Develop and implement computational strategies that support target discovery, validation, and prioritization. Analyze and interpret large-scale biological datasets, including genomic, transcriptomic, proteomic, imaging, and clinical data. Leverage human genetic evidence to strengthen disease understanding and therapeutic hypothesis generation. Collaborate closely with internal and external partners to integrate human genetics into early-stage discovery programs. Establish scalable analytical workflows and approaches that can be applied across multiple disease areas. Evaluate and implement emerging computational and AI-enabled approaches that accelerate scientific insight generation. Identify opportunities to integrate new technologies and analytical methods into the Rare Disease Research operating model. Work closely with disease biology pods to frame biological questions and translate computational findings into actionable scientific insights. Contribute to scientific evaluations of external opportunities, collaborations, and business development activities. Present scientific findings and recommendations to project teams, governance forums, and leadership groups. Establish processes and frameworks that promote human-data-driven decision making. As the function grows, participate in recruiting, developing, and leading future computational biology team members. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is an Associate Director with the following qualifications: Basic Qualifications Doctorate degree and 3 years of experience applying computational approaches to biological and translational research questions OR Master’s degree and 7 years of analytics experience applying computational approaches to biological and translational research questions OR Bachelor’s degree and 9 years of analytics experience applying computational approaches to biological and translational research questions OR Associate’s degree and 12 years of analytics experience applying computational approaches to biological and translational research questions OR High school diploma / GED and 14 years of analytics experience applying computational approaches to biological and translational research questions Preferred Qualifications Demonstrated expertise in human genetics, genomics, computational biology, or multi-omics analysis. Strong track record of applying computational approaches to understand disease biology and identify therapeutic opportunities. Ability to translate complex computational findings into clear biological insights and actionable scientific recommendations. Experience working across multiple disease areas and integrating diverse biological datasets to answer challenging scientific questions. Deep curiosity about disease mechanisms and a demonstrated passion for solving biological problems. Experience partnering closely with experimental scientists to drive discovery and target validation efforts. Experience leveraging human genetics to support target identification, validation, and prioritization. Familiarity with machine learning, AI-enabled discovery approaches, knowledge graphs, or advanced analytical methods is desirable. Demonstrated ability to influence scientific strategy within highly collaborative and matrixed organizations. Experience mentoring scientists and contributing to development of high-performing teams. Excellent communication skills and ability to engage effectively with scientists, leadership teams, and external collaborators. High learning agility, scientific curiosity, and comfort operating in rapidly evolving research environments. Passion for building new capabilities, embracing innovation, and advancing the future of data-driven rare disease discovery. 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. #J-18808-Ljbffr Amgen SA