Senior Scientist - Computational Geneticist

Cambridge, MA, US
Apr 09, 2019
Required Education
Associate Degree
Position Type
Full time
The Translational Systems Biology Group within the Comparative Biology and Safety Sciences (CBSS) department at Amgen Cambridge is committed to bringing safe and transformative medicines to patients. Our mission is to apply a variety of human-centric approaches including human genetics along with cell, molecular, computational and structural biology techniques to develop methodologies that can assess the safety of our drug targets or elucidate mechanisms leading to toxicity.

We are seeking a talented Senior Scientist to join our Translational Systems Biology Group in Amgen Cambridge. We are particularly interested in candidates with a strong background in human genetics, pharmacogenetics and functional genomics. The successful candidate will play a hands-on role using a variety of computational and statistical tools to investigate the safety of potential therapeutics or target interventions.

Key responsibilities
  • Drive in silico efforts focused on using human genetics and functional genomic datasets to elucidate the biology of targets we are pursuing in order to inform the safety profile of our drug targets
  • Perform large-scale analyses using multiple data types (e.g. pre-clinical data, drug side-effects, genetic variation, pharmacology) to support our predictive safety efforts
  • Lead the design, execution, and interpretation of genetic studies to investigate the influence of genetic variants on drug response
  • Define the overall strategy and goals for the application of human genetics/pharmacogenetics to drug safety assessment
  • Initiate, design and establish internal and external collaborations in the area of human genetics to inform target selection, safety assessment and de-risking
  • Mentor associates and postdoctoral fellows who lead genetic studies and projects, including wet lab molecular genetics experiments
  • Interface directly with bioinformaticians and computational biologists to develop experimental plans and interpret genetic association studies
  • Integrate other efforts within the group focused on human cell-based models and systems biology
  • Collaborate with researchers and clinicians within Amgen to interpret nonclinical and clinical data
  • Represent the Translational Systems Biology Group internally and externally through presentations, publications, networks, collaborations and conferences to promote the science of human genetics for safety assessment

Basic Qualifications:

Doctorate degree


Master's degree and 4 years of scientific experience


Bachelor's degree and 6 years of scientific experience

Preferred Qualifications:
  • PhD in computational biology, biostatistics, bioinformatics or a related field with 5+ years of human genetics and functional genomics experience
  • Ability to design and lead human genetics studies (with a variety of study designs) delivering novel and actionable genetic findings relevant to drug development
  • Expertise with multiple molecular genetic approaches including chip-typing, WES & WGS, Sanger, targeted sequencing, etc. as well as other functional genomic technologies.
  • Familiarity with statistical genetics and deep knowledge of statistical modeling, supervised and unsupervised learning
  • Proficiency in computing languages such as R, Python, C/C++ and hands on experience in genetic and genomic data analysis
  • Expertise in molecular characterization and functional studies geared towards elucidating the mechanistic basis for genetic associations
  • Strong publication track record in top tier journals
  • Comfortable working in a highly interactive and vibrant environment designed to promote frequent interaction and brainstorming
  • Excellent leadership and communication skills and the ability to influence, inspire and lead the team into new scientific areas

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.