Scientist – Computational Biochemistry and Toxicology

Category: Research
Job ID: R-66067
Employment Type: Full time
Location: US – Massachusetts – Cambridge
Posted Date: January 8, 2019

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 in the Translational space. 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

Modify or re-purpose tools used in the early Discovery stage to solve the challenging issues observed in the later Translational stage. Actively involved in platform building in drug safety

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 observed in animals or humans, 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

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

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:



Master’s degree and 4 years of Scientific experience


Bachelor’s degree and 6 years of Scientific experience

Preferred Qualifications:

Ph.D. in computational chemistry or computational biology

2+ years of experience relevant to drug discovery

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

Strong expertise in bioinformatics and cheminformatics

Ability to carry out comprehensive and unbiased systems biology analysis using public and internal databases from the command line

Ability to build new fit-for-purpose computational tools if necessary

Proficient programming in scripting languages including R and Python and/or programming languages (Java, C, C++)

Strong curiosity to gain wholistic view of drug development, and willingness to be proactively involved in various modalities, such as PROTAC, siRNAs and (bispecific)-antibodies

Passionate and agile at creative problem solving

Experience in large molecule computation, e.g., protein-protein interaction and complex stability

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

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

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

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

Our culture is what makes Amgen a special place to work. We have a powerful shared purpose around our mission – to serve patients. We respect one another, recognize contributions, and have embedded collaboration, trust, empowerment and inclusion in all that we do.

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.

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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.

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