Investigator
Pharma - Oncology - Cambridge, MA

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Novartis is conducting comprehensive genomic screening for all patients enrolled ongoing early- and late-stage oncology clinical trials, with the aim of identifying the best genetic predictors of drug efficacy for individual patients. The Oncology Translational Medicine (OTM) department at Novartis is seeking a highly motivated bioinformatics scientist who will accelerate our efforts to harness next-generation sequencing (NGS) and other genetic profiling technologies toward the selection of personalized cancer therapies.
The successful applicant will support and perform analyses of large-scale genomic datasets (mutation, copy-number, expression, etc.) from clinical trial patient samples, sequenced internally and in collaboration with academic and industrial partners , via the following activities:

1. Interact with external collaborators to define the content, frequency and mechanism of NGS data transfers;
2. Work with software developers to guide the development of secure databases for patient NGS data;
3. Support individual project teams with specific analyses of these patient data, including prioritization of patient selection biomarkers in key genes and pathways, identification of biomarkers and combinations correlated with drug response, annotation of results with data from independent sources (e.g. TCGA, 1000 Genomes), and visualization of the results;
4. Build and support streamlined analysis processes and modular pipelines.

In addition to these principal responsibilities, the successful applicant will be engaged with the scientific community within Novartis and in external collaborations, both to stay abreast of innovations and to contribute to scientific projects.

Minimum requirements
1.Ph.D. in Bioinformatics, Genomics, Computer Science, Systems Biology or equivalent
2.Working knowledge of DNA and/or RNA sequencing technologies, and proficiency with relevant analysis tools.
3.Experience mining common genomics databases and integrating various types of genomic data;
4.An interest in cancer biology and genetics, and the ability and desire to interact with scientists from various backgrounds;
5.The ability to communicate well, both verbally and in writing, including the ability to create informative displays and figures;
6.Proficiency in Linux on a high-performance cluster and coding in a common programming language such as Perl, Python or Java; adherence to good coding practices;
7.Excellent organizational skills and motivation.
1.Experience with GATK , BWA, Tophat, Cufflinks, etc.
2.Knowledge of statistics;
3.Experience with pathway analysis tools, R, Spotfire and Matlab.

Novartis - 18 months ago - save job - block
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