Celgene Postdoc Fellow, Computational biology - Immuno Oncology in Seattle, Washington
Celgene is a global biopharmaceutical company leading the way in medical innovation to help patients live longer, better lives. Our purpose as a company is to discover and develop therapies that will change the course of human health. We value our passion for patients, quest for innovation, spirit of independence and love of challenge. With a presence in more than 70 countries - and growing - we look for talented people to grow our business, advance our science and contribute to our unique culture.
We seek a talented, collaborative inter-disciplinary scientist to catalyze computational analysis of clinical and molecular high-dimensional profiling data to advance Celgene’s patient-focused Translational Development efforts. This individual will play a key scientific role leveraging innovative computational and statistical analysis strategies and a wide range of data sources to empower data-driven decisions and improve therapeutic outcomes in complex diseases of unmet medical need.
The candidate will work with lead Celgene scientists to analyze Immuno-oncology translational datasets and integrate information from relevant publically and internally available datasets to strengthen conclusions, and to guide medical decision making and target discovery.
Provide scientific expertise in the areas of systems biology, computational biology, particularly with regards to the functional analysis of immunological and malignant cell populations.
Design, development, and execution of analysis workflows for project related multi-disciplinary datasets and meta-analysis of public datasets, including clinical trials and target discovery
Development and adaptation of software tools and scripts to meet project goals
Collaborate with biologists in designing large-scale experiments, the analysis of resulting data and their biological interpretation
Devise multi-disciplinary systems strategies that leverage preclinical oncology drug development
Communicate results in group meetings, sections of investigator brochures, regulatory annual reports and other documents
Enhance the scientific credibility of Celgene through contribution to the scientific literature and conference presentations
Maintain cutting-edge scientific knowledge in the fields of systems biology, immunology and tumor biology
Develop and maintain working relationship with contract laboratories and relevant academic collaborators
Management of data and process documentation
A PhD (or equivalent) degree in a quantitative science (physics, engineering, computational biology/bioinformatics, social sciences) is required.
• Experience in analysis and interpretation of large multivariate molecular profiling datasets (transcriptomics – microarray, RNA-Seq, proteomics, epigenetics, cytometry)
• Interest in applying new approaches to systems analysis of translational medicine
• Fluency in scripting (Python preferred) and statistical (e.g. R) languages
• Expertise in machine learning, graph theory, and/or regulatory networks
• Familiarity with working in a Linux environment, cloud-, distributed-, or cluster computing
• Excellent team building and teamwork skills and ability to interact with and manage research scientist, project teams, outside collaborators and commercial vendors
• Detail-oriented with the ability to identify and implement creative solutions
• Ability to prioritize and manage time efficiently
Celgene is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.
Celgene complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Celgene in the U.S.
Postdoc Fellow, Computational biology - Immuno Oncology
Location: Seattle, WA, US
Job ID: 17001069