Rady Children's Hospital San Diego Postdoctoral Fellow-47201 in San Diego, California
The Rady Children's Institute for Genomic Medicine is currently recruiting post-doctoral candidates with a strong Quantitative (Human) Genetics and Computational Biology background to help push the boundaries of clinical pediatric care in the NICU using next-gen sequencing technologies and systems medicine approaches. The Institute enjoys strong partnerships and collaborations with academic, research, industry and other pediatric health care institutions, to advance the mission of providing the best health care for children. Located in beautiful San Diego, CA, this position presents a fantastic opportunity for qualified individuals to work, contribute and grow in a highly collaborative environment.
Design studies or experiments. Improve and/or develop novel analytical methods for analysis and integration of large-scale, heterogeneous genotype (whole genome NGS) and phenotype (EMR) data sets in order to improve rapid identification of genetic events in clinical samples from pediatric patients, and to be deployed within a clinical setting. Use or develop predictive analytical methods to institute state-of-the-art clinical decision support systems. Use and/or develop statistical methods for analyzing population data, for identification of phenotypic and genetic markers. Conduct independent research and work collaboratively with other stake holders within the institute, in a fast paced and collaborative environment. Work closely with our industry and academic partners as required, acting as a liaison in translating requirements and/or development end products at either sites. 'Own' a project and see it through completion. Conduct studies of related literature and research to support the design and implementation of projects and development of reports, ensuring conceptual relevance, comprehensiveness, and currency of information. Write and publish articles in peer-reviewed journals/digests that highlight findings from research and experimental activities ensuring consistency with the highest standards of academic publication.
MD and/or PhD in Molecular Biology, Human Genetics, Bioinformatics, Applied Mathematics, Statistics, Computer Science, or other related disciplines
Proven ability to lead and coordinate complex projects, work within multidisciplinary teams and meet the requirements of diverse stakeholders.
Experience analyzing NGS data and interpreting variant results within a clinical context.
Familiar with typical bioinformatics pipelines and (open source) tools for rare mendelian diseases and/or cancer.
Practical experience with variant annotation tools and databases
Strong background in at least one programming language (Python, Perl, Ruby, Java, R), scripting, and statistical analysis software (e.g., R, SPSS, SAS and or equivalent analytical software)
Strong scientific problem solving skills, ability to analyze and interpret experimental data, ability to communicate results in a concise manner both verbally and in writing, and have a solid track record of scientific achievement as documented by peer-reviewed scientific journal publications
Development experience with databases (MySQL, SQL server, SQLlite, Oracle, Hbase, Neo4j) and big data technologies (Hadoop, Spark, Apache Mahout, Weka)
Familiarity with a linux computing environment
Demonstrated strong background in either of: Statistics, Algorithm development, Machine learning