Job Company: Pfizer
We are looking for a highly skilled candidate with expertise in machine learning/AI, computational statistics, and interactive/statistical visualization that is excited to advance the next generation of therapies and methods of drug discovery through knowledge-driven approaches. Techniques Including Unsupervised Learning, Causal Inference, Deep Learning, Time-series Modeling, And Probabilistic Modeling Will Be Used... [More]
We are looking for a highly skilled candidate with expertise in machine learning/AI, computational statistics, and interactive/statistical visualization that is excited to advance the next generation of therapies and methods of drug discovery through knowledge-driven approaches. [More]
The successful candidate will play a critical role in collaborating closely with a translational biomarker lab to develop, implement and validate bio-analytical assays to support clinical trials through: Conduct computational data analysis on multi-dimensional data generated from various platforms to compare... [More]
The Research and Early Clinical Development BT group is seeking a Bioinformatics Developer to join our team and drive forward Pfizer’s Precision Medicine software portfolio. The successful candidate will contribute to the development, implementation and support of new and existing bioinformatics, multi-omics, genetics and clinical data and informatics solutions. [More]
Drive cancer target discovery and patient stratification efforts through analysis of large-scale datasets from functional genomics screens, genomics profiling of clinical and pre-clinical samples using diverse technologies incorporating network and pathway data. ROLE RESPONSIBILITIES : Apply computational methods to integrate, visualize and interpret data resulting from Proteomic, Genomic, Next Generation Sequencing and efficacy data from pre-clinical and clinical studies. [More]
We seek a highly creative and self-motivated computational scientist to develop software in support of oncology Biotherapeutics. The candidate will utilize expertise in computational and data sciences to design and implement data-driven software applications for biotherapeutic target discovery and development. [More]
We are looking for a highly skilled candidate with expertise in machine learning/AI, computational statistics, and interactive/statistical visualization that is excited to advance the next generation of therapies and methods of drug discovery through knowledge-driven approaches.Techniques including unsupervised learning, causal inference, deep learning, time-series modeling, and probabilistic modeling will be used... [More]
Support informatics-related activities for biospecimen collection and use, including tracking of informed consent documentation, accurate linking of all banked biospecimens to applicable Informed Consent Document language, and management of clinical and biospecimen-derived data; Provide key data management and technical expertise in developing access and integration strategies to support the exploratory research use of human biospecimens and derived data... [More]
We seek a highly motivated computational immunologist/biologist to be part of a larger inter-disciplinary team that focuses on target discovery, validation and biomarker research in immune-oncology. The successful candidate should have a strong computational background with proven track record of having applied computational solutions to solve biological problems. [More]
We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to develop and implement computational immune oncology (IO) methods supporting the discovery of novel immune oncology targets and biomarkers. The scientist will work closely with the immune oncology research team, developing methods for the analysis of immune phenotyping data from pre-clinical models and clinical samples. [More]