Job Description:
· 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. MINIMUM QUALIFICATIONS: · 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 PREFERRED QUALIFICATIONS: Demonstrated strong background in either of: · Statistics · Algorithm development · Machine learning
Additional Info:
EEO/AA/Minorities/Females/Disabled/Veterans [Click Here to Access the Original Job Post]
· 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. MINIMUM QUALIFICATIONS: · 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 PREFERRED QUALIFICATIONS: Demonstrated strong background in either of: · Statistics · Algorithm development · Machine learning
Requeriments :
Skills :
- Bioinformatics
- Database design
- Lunix/Unix
- Machine Learning
- MySQL
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- Programming in SAS
- SQL
- Statistics
Areas :
Additional Info:
EEO/AA/Minorities/Females/Disabled/Veterans [Click Here to Access the Original Job Post]