DNAGTx provides an exceptional research environment composed of internationally recognized leaders as well as state of the art core facilities with innovative technologies and computational resources to support all research activities. We provide a highly collaborative community and as such you will interact closely with clinical development teams and other scientists in the areas of biomarkers, bioinformatics, and research discovery departments, including Cancer Immunotherapy, Molecular Oncology, Immunology, Metabolic Disease, and Neuroscience.
We seek an enthusiastic and highly motivated Bioinformatics Scientist/Analyst to join our cancer genomics and chronic diseases research group. This individual will join research scientists oncologists and computational biologists in our effort aimed at studying the relationships between cancer causing genomic alterations and clinical outcome. This position will provide many opportunities for professional development and the acquisition of cutting-edge skills in basic and translational cancer genomics research, research planning and strategy, and data analysis and interpretation.
Your duties will include:
1. Collaborate with scientists generating sequencing data at our lab.
2. Work with short and long read technologies to develop novel variant calling methods for challenging variant types and/or difficult yet medically important regions of the genome
3. Analyze population-scale sequencing data to benchmark and improve variant callers
4. Statistical and population genetics analysis of large datasets
5. Presentation of research findings internally and externally through presentations and manuscripts
6. Collaborate with assay, clinical and computational scientists at Illumina/MGI/BGI and external research or clinical laboratories to deliver complete products.
7. You will analyze various genomic data generated at our lab using software tools within our team and by generating their own statistical analysis code. You will collaborate with oncologists, computational biologists and research scientists to study alterations in patients’ genomes in order to assist in finding new treatments and cures and so forth.
8. Works in teams with oncologists, research scientists and molecular biologists to define and execute computational approaches.
9. Performs computational analysis of next generation sequencing data, somatic copy number alterations, expression profiling, and biological pathways using in house algorithms.
10. Generates own code to conduct various other statistical analyses including those to discover relationships between cancer alterations and clinical correlates.
11. Presents data at project team meetings.
12. Assists in drafting of scientific manuscripts.
13. You will interact closely with clinical development teams and other scientists in the areas of biomarkers, bioinformatics, and research discovery departments, including Cancer Immunotherapy, Molecular Oncology, Immunology, Metabolic Disease, and Neuroscience.
A Master's degree or higher in Biology, Bioinformatics, Computer Science or a related scientiﬁc ﬁeld, and at least 5 years bioinformatics experience.
PhD in a relevant field is strongly preferred
PhD in statistical/human genetics or bioinformatics/computational biology.
B.S./B.A. in the life sciences, physical sciences, or computational sciences. Some coding knowledge of either R, Matlab, and/or python. The ability to work in teams, excellent communication and data presentation skills.
PhD in bioinformatics, statistics, computer science, genetics or related field of study
Expertise in the analysis of population genetics data, with experience in non-model systems, is preferred.