Senior Scientist I/II, Computational Biology

Employer
AbbVie
Location
Redwood City, CA, US
Posted
Oct 07, 2019
Ref
1901895
Required Education
Bachelors Degree
Position Type
Full time
AbbVie Biotherapeutics, a center of innovation in oncology R&D located in Redwood City, California, is seeking a computational biology/bioinformatics scientist to play an integral role in a multi-disciplinary team focused on developing new therapies for the treatment of cancer. AbbVie has a bioinformatics program which spans multiple locations and therapeutic areas. This enables our capabilities to be leveraged from the perspective of a research community: a shared code base, innovative project engagement, and an extensive mentoring and development program that combine to create a vibrant and exciting career opportunity.

In this position, you will provide computational biology support to a team of highly skilled immune-oncology scientists and interact with peers to develop, investigate and characterize novel therapeutics. You will be formulating and answering biological questions using complex datasets, large population cohorts, and our own clinical trial data to create and assess novel computational solutions, while contributing to novel discoveries and helping to drive the best programs forward in the clinic.
Key Responsibilities:
  • Analysis - Interrogate large scale -omics data from both pre-clinical models and clinical samples in support of new therapeutic discoveries for the treatment of cancer.
  • Build - through your own efforts or by working with software engineers to develop outstanding bioinformatics capabilities (genomic databases and analytics software/pipelines) to support a dynamic oncology pipeline.
  • Collaborative Design - you should find it inspiring to work with a wide variety of colleagues (e.g., biology, chemistry, business); understand their needs and then propose and build solutions
  • Presentation - use your strong computational and data visualization skills to bring together disparate data types in compelling visualization packages that provide end users with the ability to see both 'the landscape' and details leading to improved decision-making
  • Flexibility - given our diverse mission you should be able to move fluidly between different project responsibilities
  • Breadth - as a hardworking and motivated scientist you can contribute to a wide variety of missions related to enhancing drug discovery


  • BS and typically 10+ years; MS and typically 8+ years, or a PhD and 0-4 years of experience in Biology, computational biology, bioinformatics, or similar field
Preferred:
  • Proven skills/accomplishments in an immune-oncology/oncology setting is highly desired
  • Expertise in computational biology/bioinformatics, genomic analysis, data and literature mining, disease and biological pathway and gene network/ systems biology analysis
  • Strong data analytical skills, expertise in various bioinformatics software, databases, and programming packages including R, Shiny, Python or Perl
  • Understand how to use containers for deploying standard pipelines (Docker, AWS Container, etc.)
  • Familiarity with running standard pipelines and generating QC reports on one or more of NGS based technologies (RNA-Seq, single cell RNA-Seq, DNA-Seq for Genome/Exome sequencing, ATAC-Seq), Proteomics technologies (Mass Spec based Proteomics), Methylation, Somatic Variant Calling and annotation, Targeted Mutational Profiling, Copy Number Variation, and standard microarray based technologies (Affymetrix, Illumina)
  • Experience with biomarker strategies for drug development in areas including -omics, immuno-oncology, is valued
  • Builds positive relationships with peers and cross functionally with partners outside of team to enable higher performance
  • Learns fast, grasps the 'essence' and can change the course quickly where indicated
  • Creates a learning environment, open to suggestions and experimentation for improvement