A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.
Pfizer is incorporating advanced computational approaches to accelerate evidence-based drug discovery & development by capitalizing on high-dimensional data sets of molecular and population health data to target therapeutic approaches to the right patient population and disease indication. The Biomedical Data Scientist will engage with biomedical and computational researchers from across the organization to understand scientific/technological challenges and develop innovative approaches to solve them. The Biomedical Data Scientist will be an expert in data and computation who will: * Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modeling, simulation, text-mining/NLP, data-mining, pathway/network analysis.
* Identify novel solutions to internal data challenges including the evaluation of tools for data engineering and data visualization. He/she will partner with Human Genetics, Computational Biomedicine, Clinical Data Sciences and Business Technology to identify, scope and implement solutions impacting a broad range of activities supporting target identification, validation and precision medicine efforts with a particular focus on the use of clinical trial data and electronic health records (EHRs). This position offers an opportunity to execute science-based drug discovery within one of the world's
Biomedical Data Scientist will provide capabilities in complex, integrated data and information analyses that support discovery and Early Clinical Development stratification efforts to deconstruct phenotypic correspondence to molecular & physiological mechanism. Role responsibilities include: - Work on inter-disciplinary teams across ESTO and disease areas including Cardiovascular & Metabolism, Inflammation and Immunology, Neurosciences and Rare Diseases to make use of experimental data, clinical trial data, and information from EHRs for complex multidimensional data analysis to inform target id, biomarker identification and patient stratification. - Provide technical expertise in Bayesian/probabilistic modeling, deep learning (and Cognitive Computing), and mechanistic modeling. - Collaborate on the use of emerging 'Omics technologies (*-Seq, microbiome) and their integration with contextual patient and pathway datasets. Use computational expertise to guide deployment of new technologies such as CRISPR and gene therapy. - Work with Business Technologies, Computational Biomedicine and Clinical Data Science colleagues to shape the organization's data architecture and ecosystem to be more productive in supporting cross-WRD activities. - Work with the Human Genetics & Computational Target Validation groups in the integrated use of G2P data towards target identification & validation, & patient stratification.