Pfizer is seeking a talented, self-motivated Manager, Computational Bioinformatics, with strong background in developing analytical algorithms, data processing pipelines, and data management to support data analytics and next generation sequencing (NGS) efforts in biomarker analysis in Early Clinical Development.
The successful candidate will analyze data from next generation sequencing (NGS) and other high-dimensional omics data types, providing bioinformatics and data science support to various programs in the fast-paced environment of early clinical trials.
This work will elucidate the molecular impact of early clinical assets, and therefore has the potential to inform proof of mechanism and proof of concept decisions for advancing these assets, or to re-prioritize therapies in the pipeline for disease. Additional applications of the work may include identifying patients more likely to respond to new therapies based on their molecular profiles ("Precision Medicine"). ROLE RESPONSIBILITIES
- Working within a team of laboratory scientists, clinicians, bioinformatics scientists, and statisticians to rapidly apply state-of-the-art machine learning capabilities to analyze large volume of data for biomarker analysis.
- Develop algorithms for the analysis of vast amount data spanning different data types and platforms for various of programs.
- Designing easy to use intuitive user interfaces for big data management, visualization, and analytics.
- Conduct data collection, data management, bioinformatics application development and other duties as assigned.
- Define and evolve best practices across the group and partner with Research Units (RUs), Business Technology (BT) and partner line bioinformatics experts to align approaches, develop best practices, assess, and develop new technology.
- Partner closely with RUs, Clinical Teams, Statistics, BT, and PM functions to identify, pilot and incorporate new bioinformatics tools to support clinical trials.
- PhD. in computer science, bioinformatics, or related field with 2 to 3 years of experience is preferred.
- Hand-on experience with processing of high-throughput next generation sequencing data and possessing strong data management and analysis skills.
- Hands-on experience to design and implement bioinformatics data analytical pipeline.
- Proficient coding/scripting in Python, Perl, R.
- Experience working in Linux environments and broad experience with open-source bioinformatics tools.
- Experience working in a high-performance computing and/or cloud computing environment
- Must be comfortable with fast-paced environment handling multiple projects simultaneously with different priorities and timelines.
- Strong abilities to quickly learn new skills and adapt to challenges on the job
- Understand statistics models and apply the models to data analysis
- Expertise applying programming and analytical skills to solve real problems in biology is highly desirable.
- Excellent interpersonal, verbal, and written communication skills.
- Collaborate and work well within a matrix organization.
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Research and Development