About AbbVie AbbVie’s mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women’s health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. 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. 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. This position is based at AbbVie’s brand-new CA headquarters located in South San Francisco, CA. The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment to develop a framework for precision immuno-oncology. The candidate will also contribute to ongoing computational analysis of immuno-oncology drug programs. They will be responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical modeling and bioinformatics methods, integrating large scale multi-modal datasets to derive quantitative biological insights, and communicating scientific findings to project teams. In addition, the candidate will contribute to presentation and publication of translational findings in peer reviewed journals, new drug applications and regulatory filings. KEY RESPONSIBILITIES: Analysis – interrogate large scale multiplatform ‘omics data to define relationships between cancer immune ecosystems. Work with project teams to interrogate preclinical and clinical data to drive cancer care. Build – through your own efforts and by working with software engineers to develop a framework for precision care in immuno-oncology. Collaborative Design – thrive while working with a wide variety of colleagues (e.g., biology, chemistry, clinicians); 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 Adaptability – given our diverse mission you should be able to move fluidly between different project responsibilities Breadth – drive drug development from target discovery to the clinic while also pursuing novel and publication-oriented research questions Qualifications PhD. Degree in bioinformatics, statistics, mathematics, computer science, computational biology, genomics or a related field; Master’s degree with typically 8 years of experience; Bachelor’s degree with typically 10 years of 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 and statistical analysis. Experience in one or more of the following: dimensionality reduction, clustering, machine learning, multiomic data integration. Experience in cancer genomics. Preferred: In-depth understanding of technologies related to high-throughput experimental techniques, such as next generation sequencing technologies, single cell platforms, proteomics, microarray platforms, and their applications. Familiarity with the development of visualizations and interactive figures communicating complex genomic and clinical data. Understand how to use and leverage containers for deploying standard pipelines (Docker, AWS Container, etc.) Experiences with both preclinical and clinical development are highly valued. Proactive scientist with outstanding presentation and communication skills that foster collaboration and teamwork. A collaborative and self-motivated individual with a strong work ethic, ability to work in a dynamic environment and able to manage multiple objectives in parallel and adapt to changing priorities. Significant Work Activities N/A Travel No Job Type Experienced Schedule Full-time Job Level Code M Equal Employment Opportunity At AbbVie, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer we do not discriminate on the basis 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, protected veteran status, or any other legally protected characteristic.