Amgen Scientist - Computational Biochemistry and Toxicology in Cambridge, Massachusetts

Consistent with our commitment to bring safe and transformative medicines to patients, we are growing our highly innovative Translational Systems Biology (TSB) group at our Amgen Massachusetts facility in Cambridge. Within the TSB group (which is an integral part of our cross-site Comparative Biology and Safety Sciences department), we are developing novel methodologies and applying a variety of human system centric approaches, including human genetics along with in vitro cell, molecular and biochemical approaches, to predict and investigate drug safety throughout the drug development life cycle.

We are seeking a talented Scientist with expertise in biochemistry, structural biology and computational chemistry to join our growing group. The successful candidate will play a vital role as part of our broader efforts to apply biochemical and modelling approaches to understand and develop means of predicting drug safety.

Key Responsibilities

  • Seamlessly integrate work with other efforts of the group focused on human genetics, biochemistry computational biology and cellular/molecular biology

  • Contribute to defining the overall strategy and goals for the application of computational biochemistry and structural biology approaches in drug safety assessment

  • Propose, design and establish internal and external collaborations in the area of computational chemistry/structural biology to provide innovative solutions for group goals and vision

  • Drive computational chemistry efforts such as structural based docking, molecular dynamics and molecular simulations, ligand based modeling, QSAR models and machine/deep learning with the goals of a) applying virtual screening tools to predict the potential off-target activities of drugs, b) aggressively investigate drug safety issues, as they arise, and provide opportunities to utilize SAR to improve the toxicological profile of a drug and c) conduct retrospective analyses to derive insights that can lead to the development of novel assays for drug safety prediction

  • Analyze prospective protein targets for druggability and relevance to drug safety using computational methods and available databases

  • Provide mentorship for scientists and postdoctoral research fellows

  • Represent group internally and externally through presentations, publications, networks, collaborations and conferences to promote approaches and raise the profile of work within the team

Basic Qualifications:

Doctorate

OR

Master's degree and 4 years of Scientific experience

OR

Bachelor's degree and 6 years of Scientific experience

Preferred Qualifications:

  • Ph.D. in computational chemistry, computational biology, or related field

  • 2+ years of experience relevant to drug discovery

  • Demonstrated skills in the application of computer-assisted drug design using modeling and computational software

  • State-of-the-art knowledge of standard and advanced computational chemistry methods and software

  • Experience in molecular dynamics, molecular simulations and free energy perturbation calculations

  • Strong expertise in bioinformatics and cheminformatics

  • Ability to effectively communicate data and structural designs using graphics and interactive sessions

  • Advanced knowledge of UNIX/Linux and queueing systems, and cloud computing solutions to perform large calculations

  • Proficient programming in scripting languages including R and Python and/or programming languages (Java, C, C++). Experience with web application and database design

  • Comfort in working in a highly interactive and vibrant environment designed to promote frequent interaction and brainstorming

  • Excellent leadership and communication skills and the ability to inspire and lead teams into new scientific areas

  • Recognized externally in areas of expertise and a strong publication track record

  • Experience fostering external and academic collaborations

  • Passionate and agile at creative problem solving

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.