AbbVie Principal Research Scientist, Computational Biology in Redwood City, California
Principal Research Scientist, Computational Biology
USA, California, Redwood City
Research & Development
Oncology is a key therapeutic area for AbbVie, with a portfolio consisting of three marketed products — Imbruvica, Venclexta, and Empliciti — and a pipeline containing multiple promising new molecules that are being studied in nearly 200 clinical trials in 19 different types of cancer.
AbbVie is expanding its oncology hub on the West Coast, with three sites in the San Francisco Bay Area (Redwood City, South San Francisco, and Sunnyvale) focused on the discovery and development of novel oncology therapies. More than 1,000 AbbVie scientists, clinicians, and product developers with strong entrepreneurial roots work across these three sites. They combine their expertise in immuno-oncology, stem cells, and cell-signaling with their knowledge of bispecific antibodies, antibody-drug conjugates (ADCs), and covalent-inhibitor technologies to discover and develop novel cancer treatments.
AbbVie Biotherapeutics, a center of innovation in oncology R&D located in Redwood City, California, is seeking a computational biology/bioinformatics at scientist or senior scientist levels, to play an integral role in a multi-disciplinary team focused on solving large-scale scientific problems in the immuno oncology field.
The successful candidate will provide computational biology support to a team of highly skilled immune-oncology scientists and interact with peers across a highly collaborative and science-driven organization to create, investigate and characterize novel therapeutics. This will involve formulating and answering biological questions using complex datasets and the creation and assessment of novel computational solutions. You will work in a well-supported environment, with access to the tools, technologies and expertise necessary for success.
Candidates with experience in the following fields are encouraged to apply:
Large scale analysis of genomics data, including gene expression, copy number, mutations, methylation, proteomics, metabolomics and their application within relevant biological fields such cancer and metabolic diseases (diabetes, obesity, etc..)
Machine learning and integrative bioinformatics for personalized medicine
Algorithms and tools for systems biology
Algorithms, tools and architectures for Next Generation Sequencing data processing
Collaborations with experimental biologists are welcome, but focus should be on algorithmic, mathematical and statistical aspects of Computational Biology and Bioinformatics.
As a discipline expert and contact, drives functional performance by designing and implementing studies aimed at new or improved products. Scientific leaders acting at group, department and cross-functional levels.
Key Responsibilities Include:
Develops and achieves discipline strategy in alignment with functional goals and key scientific objectives. Collaborates with experts within function to integrate scientific objectives into activities associated with development of new/improved products or technology.
Advances scientific expertise within function. Proactively demonstrates leadership by advises and shares knowledge and expert opinions with subordinates, peers, and senior management. Mentors and trains functional colleagues and assesses current and emerging business challenges enabling functional goal achievement.
Ensures quality and effectiveness of key results of major project plans within function through sound design, early risk assessments, and implementation of fallback strategies.
Sources and identifies emerging scientific trends from multiple internal and external sources and assess relevance. Integrates trends into functional short-term objectives. Advances cross-discipline technology and direction through generation of data.
Applies imagination and innovation by creating, inventing, and implementing new or better approaches, alternatives and breakthrough ideas that are valued by customers within the function.
Presents scientific concepts and results for functional scientific and non-scientific leaders as well as potential and existing partners. Maximizes impact and value of expertise.
Responsible for compliance with applicable Corporate and Divisional Policies and procedures.
- Master’s degree and typically 14 years of experience, or a PhD with typically 8-10 years of related work experience. Degree should be in Computational biology, Bioinformatics, Computer Science or similar field with a thorough theoretical and practical understanding of this field.
Several years of experience and demonstrated 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.
Familiarity with OmicSoft / Array Studio software.
Good grasp of biochemistry, immunology, cancer biology and related subjects.
Strong communication skills with people from different academic backgrounds.
Experience with biomarker strategies for drug development in areas including -omics, immuno-oncology, is valued.
Builds strong 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
Raises the bar and is never satisfied with the status quo
Creates a learning environment, open to suggestions and experimentation for improvement
Equal Opportunity Employer Minorities/Women/Veterans/Disabled