ROLE SUMMARY We are looking for a highly motivated bioinformatician in the field of microbial genomics. The successful candidate will work as a member of our growing Bioinformatics/Data Analytics team and contribute to microbial-focused next generation sequence (NGS) analysis efforts. The Bioinformatics scientist will contribute to the development and maintenance of automated sequence analysis workflows, develop custom solutions for genomic and metagenomics sequence analysis, data visualization, and contribute to the evaluation and testing of new software packages and algorithms.
Evaluate and test new software packages and algorithms
Develop custom solutions for genomic and metagenomics sequence analysis, data visualization
Develop and maintain automated sequence analysis workflows
Conduct data mining and data analysis to support different programs with a focus on NGS analysis efforts
Demonstrate ability to multitask project objectives, understanding goals and their priorities
Interpret and summarize analysis results in reports for presentation as well as documentation in electronic notebook
Present research findings in lab, group, team and department meetings/forums as appropriate
Work efficiently as part of a team in a matrixed environment
Bachelor degree in biology, chemistry or other life sciences plus 4 years of experience OR Master's in Bioinformatics or similar field plus 2 years of experience
Knowledge of current bioinformatics approaches and databases
Demonstrated experience in NGS analysis and bioinformatics software development
Experience with pipeline development and maintenance
Familiarity with publicly-available tools, algorithms, and databases
Experience with programming languages and computational environments (including UNIX-style operating systems, command line interfaces, R/perl/python or similar, and SQL or other database software
Excellent verbal and written communication skills
Highly motivated with strong problem-solving skills, capable of working both independently and in multifunctional team settings
Training or experience in microbiology/molecular biology of prokaryotes
Familiarity with publicly-available tools, algorithm and databases related to microbial genome analysis
Experience working in cloud-based computational environments
Demonstrated proficiency with PacBio/nanopore data analysis
Experience and skill in preparing research publications
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N (Other) (United States of America) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.