The Genomic Research Center Computational Oncology group (GRC-CO) at AbbVie is seeking a highly motivated computational biologist to play an integral role in a multi-disciplinary team focused on developing new therapies and approaches for cancer treatment. AbbVie’s GRC is a center of excellence for bioinformatics, functional genomics, human genetics and pharmacogenomics. The GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, global epidemiology, search and evaluation, and corporate strategy.
This position will ideally be based at AbbVie Bay Area located in South San Francisco, CA. The successful candidate will have the opportunity to work on some of the most exciting and proprietary oncology data assets in industry, including large-scale long-read sequencing, pharmacogenomic screening, and real-world data, to address key questions in oncology target identification, evaluation, and validation. The candidate will work in a fast-paced and highly collaborative environment embedded within research project teams including AbbVie computational biology community, oncology target discovery and biomarker functions. The successful candidate will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical and machine learning methods, and communicating scientific findings to internal and external stakeholders. In addition, the candidate will contribute to presentations at scientific conferences, publications in peer-reviewed journals, and regulatory filings.
· Develop and execute computational strategy leveraging proprietary multi-modal, pre-clinical and human derived cancer omics data assets for target and biomarker discovery
· Apply machine learning and deep learning approaches and development computational workflow to establish ML model-based target identification
· Lead computational oncology efforts to enable critical data input to advancing AbbVie’s antibody-drug conjugates, immune cell engager, and cell therapy programs
· Impact decision-making by communicating research findings to a broad scientific audience, including computational biologist, non-computational scientists, and senior leadership
· Provide expertise and technical consultation for external collaborations / partnerships in academia and industry
· PhD, or MS in bioinformatics, statistics, mathematics, computer science, computational biology, genomics or a related field with typically 4+ (PhD), 7+ (MS) years of relevant experience
· Proficient in at least one general purpose programming/data science languages including but not limited to R, Python, Julia.
· Experience with common NGS data processing tools, statistical analysis, and machine learning.
· Experience in cancer genomics.
· Strong communication skills to foster collaboration in cross-functional teams
· Experience with proteo-genomics data integration
· Experience in Bayesian inference and deep learning
· Experience in analyzing functional genomics screening data
· Good understanding of tumor intrinsic biology and biomarker-driven therapeutic landscape
· Develop and implement analysis workflow, software applications, and data warehouse to improve visualization and integrative analysis of multi-model genomics data
· Understand how to use and leverage containers for deploying standard pipelines (Docker, AWS Container, etc.)
· Familiarity with assay technologies and algorithm principles related to bulk and single-cell RNA-Seq, WES/WGS, Mass-spec proteomics, ATAC-seq, etc.
· Creates a learning environment, open to suggestions and experimentation for improvement.
AbbVie is an equal opportunity employer including disability/vets. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran or active duty wartime or campaign badge veteran or a person’s relationship or association with a protected veteran, including spouses and other family members, or any other protected group status. We will take affirmative action to employ and advance in employment qualified minorities, women, individuals with a disability, disabled veterans, recently separated veterans, Armed Forces service medal veterans or active-duty wartime or campaign badge veterans. The Affirmative Action Plan is available for viewing in the Human Resources office during regular business hours.