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Job Summary:
Molecular heterogeneity and clonal evolution are key challenges in clinical management of solid cancers. The Murtaza lab at TGen is developing circulating tumor DNA as a liquid biopsy to identify somatic mutations, track tumor burden and treatment-driven molecular evolution in localized and advanced cancers. We develop and improve analytical methods and apply them to longitudinal samples collected within prospective genomics-guided clinical trials and observational studies. In previous work, the PI has published proof-of-principle results for using circulating tumor DNA for monitoring response to treatment and acquired treatment resistance (see Murtaza et al. Nature Communications 2015, Murtaza et al. Nature 2013 and Dawson et al. NEJM 2013). On-going studies include developing liquid biopsies for patients with metastatic melanoma, cholangiocarcinomas and glioblastomas using digital genomics technologies such as digital PCR, deep sequencing and whole-exome/whole-genome sequencing.
The Bioinformatician will work on multiple projects analyzing biomedical data by applying existing tools, informatics resources, and developing new informatics/software resources, automating/optimizing/customizing repetitive bioinformatics tasks/workflows, implementing research specific novel analysis approaches and computational methods, developing/building professional quality reusable software/informatics resources for medium to large scale bioinformatics projects, and leverage prior experience and domain knowledge to improve existing methods to expedite and facilitate the data analysis and knowledge discovery process.
-Implementation, application, maintenance, customization of available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Developing front-ends for other analysis tools, visualization/compilation of results, facilitating generally defined routine data processing/migration/organization/ management tasks, and building project specific workflows implementing automated analysis steps.
-Investigation, customization, prototyping for new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large scale data analysis, and heterogeneous biomedical data from multiple sources. Using software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional quality informatics/software/database resources.
-Designing, prototyping, evaluating innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large-scale data analysis. Suggesting/exploring alternative/multiple data processing approaches.
-Following scientific literature/manuscripts, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, providing feedback towards scientific findings and contributing towards manuscripts/grants/research proposals and research planning. -Attending/contributing to/presenting at internal/external scientific meetings/conferences
-Managing multiple bioinformatics collaborations/projects, mentoring junior staff. Strategic planning, organization, management, organization, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interacting with PIs, researchers and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organization's competitive advantage in biomedical research. Interacting with other research divisions, computing infrastructure staff, outside academic/industrial partners.
Job Qualification
Required:
-Bachelors/Masters/Doctoral Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field.
-Individuals with experience in bioinformatics and a doctoral degree in Life Sciences research are also encouraged to apply.
To Apply:
If you are interested in seeing the most up to date job listings or to apply for a position, please go to https://www.tgen.org/about/[email protected] and submit your resume for this position. Please take a moment to read about our employee benefits and learn more about TGen. If you have any questions about the company or how to post for a position, please contact [email protected].
Please apply to all the jobs you are interested in. Only resumes submitted through the TGen career website will be considered.
Molecular heterogeneity and clonal evolution are key challenges in clinical management of solid cancers. The Murtaza lab at TGen is developing circulating tumor DNA as a liquid biopsy to identify somatic mutations, track tumor burden and treatment-driven molecular evolution in localized and advanced cancers. We develop and improve analytical methods and apply them to longitudinal samples collected within prospective genomics-guided clinical trials and observational studies. In previous work, the PI has published proof-of-principle results for using circulating tumor DNA for monitoring response to treatment and acquired treatment resistance (see Murtaza et al. Nature Communications 2015, Murtaza et al. Nature 2013 and Dawson et al. NEJM 2013). On-going studies include developing liquid biopsies for patients with metastatic melanoma, cholangiocarcinomas and glioblastomas using digital genomics technologies such as digital PCR, deep sequencing and whole-exome/whole-genome sequencing.
The Bioinformatician will work on multiple projects analyzing biomedical data by applying existing tools, informatics resources, and developing new informatics/software resources, automating/optimizing/customizing repetitive bioinformatics tasks/workflows, implementing research specific novel analysis approaches and computational methods, developing/building professional quality reusable software/informatics resources for medium to large scale bioinformatics projects, and leverage prior experience and domain knowledge to improve existing methods to expedite and facilitate the data analysis and knowledge discovery process.
-Implementation, application, maintenance, customization of available/known informatics resources and scientific software/data sources in multiple programming languages/platforms for research support. Developing front-ends for other analysis tools, visualization/compilation of results, facilitating generally defined routine data processing/migration/organization/ management tasks, and building project specific workflows implementing automated analysis steps.
-Investigation, customization, prototyping for new bioinformatics resources and scientific software for biomedical data processing. Requires skills in multiple programming languages, databases, computational methods, scientific computing, large scale data analysis, and heterogeneous biomedical data from multiple sources. Using software engineering skills towards creating reusable, modular, tested, version-controlled, shared repository oriented, professional quality informatics/software/database resources.
-Designing, prototyping, evaluating innovative computational algorithms, data analysis, and statistical methods for biomedical data processing, interpretation and knowledge mining of data, computational algorithms, databases, scientific computing, large-scale data analysis. Suggesting/exploring alternative/multiple data processing approaches.
-Following scientific literature/manuscripts, investigating new biomedical data processing methods, trends, technologies, and paradigms relevant to biomedical informatics, providing feedback towards scientific findings and contributing towards manuscripts/grants/research proposals and research planning. -Attending/contributing to/presenting at internal/external scientific meetings/conferences
-Managing multiple bioinformatics collaborations/projects, mentoring junior staff. Strategic planning, organization, management, organization, utilization, optimization of existing and future bioinformatics resources, skills, and needs. Interacting with PIs, researchers and other bioinformaticians towards aligning/guiding the bioinformatics activities to maximize organization's competitive advantage in biomedical research. Interacting with other research divisions, computing infrastructure staff, outside academic/industrial partners.
Job Qualification
Required:
-Bachelors/Masters/Doctoral Degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology or related field.
-Individuals with experience in bioinformatics and a doctoral degree in Life Sciences research are also encouraged to apply.
To Apply:
If you are interested in seeing the most up to date job listings or to apply for a position, please go to https://www.tgen.org/about/[email protected] and submit your resume for this position. Please take a moment to read about our employee benefits and learn more about TGen. If you have any questions about the company or how to post for a position, please contact [email protected].
Please apply to all the jobs you are interested in. Only resumes submitted through the TGen career website will be considered.