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Sr. Scientist Human Genetics & Functional Genomics Cambridge United States,  

Posted on : 01 May 2017

Project Description

To underpin our commitment to bring safe and transformative medicines to patients, we are growing our highly innovative Translational Systems Toxicology group at Amgen. Our mission is to ensure that both the drugs and drug targets we develop are safe and that side effects are minimized or eliminated. To achieve this we are applying a variety of human in vitro approaches (including human genetics along with cell, molecular and structural biology techniques) to develop assays that can predict or elucidate mechanisms leading to drug safety issues. In addition to working broadly to support pipeline projects, we are also developing novel methodologies for assessing the safety of our drug targets in human systems with the long-term goal of being able to focus our future regulatory studies in this area.We are seeking a talented Sr. Scientist with expertise in human genetics, pharmacogenomics and functional/regulatory genomics to join our growing group. The successful candidate will play a hands on role as part of our human genetics and functional genomics efforts with a focus on drug safety.Key responsibilitiesDrive in silico and functional genomic experimental efforts focused on using human genetics and functional/regulatory genomic datasets to a) elucidate the biology of targets we are pursuing so as to inform the safety profile of drugging a particular axis and contribute this information to project teams and b) identify key variants and genes underlying concerning phenotypes we wish to avoid during drug development and provide opportunities for predictive safety assay development within the groupInterface directly with project teams and key stakeholders within Amgen to ensure the appropriate and timely inclusion of relevant datasetsContribute to defining the overall strategy and goals for the application of human genetics/pharmacogenomics within the departmentPropose, design and establish internal and external collaborations in the area of human genetics/pharmacogenomics to provide innovative solutions for group goals and visionProvide mentorship for research assistants and postdoctoral research fellows required to lead genetic studies and projects including wet lab molecular genetics activitiesIntegrate work tightly with additional efforts within the group focused on biochemical, structural biology and cell/molecular biology approaches to drug safety assessmentRepresent translational systems biology group internally and externally through presentations, publications, networks, collaborations and conferences to promote approaches and raise the profile of work within the teamBasic Qualifications:Doctorate degree and 2 years of Scientific experienceORMaster s degree and 5 years of Scientific experienceORBachelor s degree and 7 years of Scientific experiencePreferred Qualifications:PhD with 5+ years of human genetic and functional genomic research experience with a focus on drug discovery and drug safety assessmentDemonstrated ability to design and lead human genetic and functional genomic studies (with a variety of study designs) delivering novel and actionable genetic findings relevant to drug developmentExpertise with multiple molecular genetic approaches including chip-typing, WES & WGS, Sanger, custom capture targeted sequencing, etc. as well as other functional genomic technologies (e.g. microarrays, RNASeq, etc)Involvement in or use of large scale WES/WGS data sets such as GO-ESP, 1,000 Genomes Project, CHARGE consortium, Centers for Mendelian Genomics, etc.Very strong programming skills in R, Python, and/or other languages commonly used for bioinformatics analysis. Must be expert in applying major bioinformatics tools.Understands the advantages and limitations of various types of human genetic datasets (e.g. GWAS, CNVs, Rare variants, etc.) and has hands on experience in using public human genetics and epigenetics databases.Must have deep knowledge and working experience to apply advanced machine learning methods such as Hidden Markov Chain, Support Vector Machines, neural nets and deep learning algorithms.Familiarity with text mining algorithms is a plusStrong publication track record in top tier journalsComfort in working in a highly interactive and vibrant environment designed to promote frequent interaction and brainstormingAmgen 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.


US, Massachusetts, Cambridge

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