Bfx workers needed: 2
The following ositions are located at NIEHS in Durham NC.
Requisition Number:21791BR
Job Code/Level: RESSTAT2 Research Statistician
Position Title: Bioinformatician / Bioinformatics Scientist
Position Description: Applies statistical analysis techniques and applications in the analysis of genomics data resulting from technologies such as ChIP-Seq, ChIP-Chip and Next generation sequencing. Experienced with statistical/visualization tools appropriate to genomic analysis. Works with experimental teams to develop software to facilitate data import, analysis, interpretation, and presentation. Consults with scientists on data analysis and interpretation. May write software and papers for publication and dissemination.
Daily Responsibilities: We are currently seeking a mid-level or senior Bioinformatician / Bioinformatics Scientist who will consult with research teams and will conduct statistical analyses in a variety of genome scale experiments. The successful candidate should have experience analyzing high-throughput genomic datasets derived from ChIP-Seq and ChIP-chip technologies as well as familiarity with available third party software packages useful to analyzing these data. In addition to performing basic quality control and analysis (eg., intra/inter array normalization, significance testing, discrimination and classification, clustering, identification of gene regulatory themes, mapping of binding events, error modeling, and sequence mapping to relevant genomes), the ideal Bioinformatician will feel comfortable working closely with individual research teams to design custom software that facilitates visualization and meaningful quantification and interpretation of data obtained. Intimate knowledge of the statistical tools appropriate to task is essential.
Research topics include environmental health, genomics, toxicology, and other topics related to health. This Bioinformatician / Bioinformatics Scientist will work collaboratively with scientists on projects that lead to journal publications, presentations at professional meetings, and possibly reports that influence public policy.
Required: Subject Statistics, Biostatistics, Epidemiology, Bioinformatics, or related subject
Required: Skills
• Requires a Bachelors degree (or higher) and 2 or more years experience providing data analysis support to research in public health, genomics, toxicology, environmental health, statistical genetics, or related disciplines.
• Ability to communicate statistical concepts and data analysis interpretations to non-statisticians
• Affinity for collaboration
• Solid understanding of analytical techniques associated with high throughput ChIP-Seq, ChIP-Chip, microarray and/or Next generation sequencing data
• Fluency with Perl, R or S-Plus, general programming languages including popular scripting languages is desired.
Requisition Number:21416BR
Job Code/Level: RESSTAT2 Research Statistician
Position Title: Bioinformatics Analyst / Research Statistician
Position Description: Follow bioinformatics/statistical analysis plan to analyze data from genomics experiments. Import and manage microarray, sequence or other genomics data to the extent necessary for data analysis. Participate in detailed data analyses and draft and/or reviews reports detailing analyses and results; and contribute towards peer-reviewed publications. May write software (in SAS, R, Java, Perl, or other appropriate language) to automate analyses. Consults with scientists on data analyses and interpretation.
Daily Responsibilities: SRA seeks a Mid-level or Senior Bioinformatics analysis or Biostatistician. This individual will consult with research teams and will conduct bioinformatics/statistical analyses in a variety of genomics, clinical and/or epidemiological studies. These genomics studies revolve around environmental health, toxicology and other related topics of public health concern. The candidate will work collaboratively with scientists on projects that lead to journal publications, presentations at professional meetings, and reports that influence public policy.
The successful candidate will have interest in and aptitude for consulting with clients ranging from biological and environmental scientists, physicians, statisticians and computer science professionals. The successful candidate will also have training and experience in the application of a broad range of statistical data analysis methods which may include generalized linear and additive models, mixed effects models and other multivariate methods, Bayesian methods, power and sample size calculation, machine learning methods for genomics as well as computational biology methodologies for microarray, SNP, and sequence data analysis. Strong communication and writing skills are essential, as are willingness and ability to learn new data analysis methods and to apply them to new domains.
Required: Subject Statistics, Biostatistics, Epidemiology, Bioinformatics, or related subject.
Required: Skills
• Requires Masters degree and 3 - 5 years work experience.
• Ability to communicate statistical concepts and data analysis interpretations to non-statisticians
• Affinity for collaboration
• Attention to detail, willingness to take on responsibility for satisfying clients’ needs
• Curiosity about a broad range of public health and biological topics
