Orion Group and our largest US client have an exciting contract opportunity for a Bioinformatics Analyst/Computational Biologist! Our client is seeking individuals with an understanding of the integration, organization, and analysis of large and complex multi-omics datasets.
Don't pass on the chance to join a market leading pharmaceutical company!!!!
Bioinformatics Analyst Responsibilities:
This role involves support for the integration, organization, and analysis of large and complex multi-omics datasets, but not limited to transcriptomics, genetics, and epigenetics.
A vital part of this role includes ensuring the precision, quality, and comprehensiveness of our dataset repositories.
Work in synergy with cross-functional and inter-organizational teams of research scientists.
Apply, refine, and expand established workflows for effective multi-omic data curation and analysis.
Curate and standardize GWAS summary statistics datasets ensuring accuracy and consistency.
Annotate genomic variants using established tools and databases.
Map SNPs to genes and determine their functional relevance.
Analyze transcriptomic datasets, including but not limited to bulk and single-cell RNA sequencing, to derive actionable insights.
Collaborate intimately with research teams to comprehend specific data requirements and applications.
Qualifications needed to be successful in this role:
Masters with 1+ year of experience or PhD degree in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field).
Strong proficiency in R programming for bioinformatics workflows
Familiarity with curating/analyzing GWAS and genetics data, and transcriptomics data.
Ability to critically evaluate experimental design, QC and suggest improvements.
Experience working in HPC or cloud environment
Knowledge and proficiency in basic statistical concepts.
Experience in immunological disease area.
Proven capability in designing and implementing bioinformatics workflows and corresponding github codebase repositories.
R programming and comfortable operating in a Unix/Linux and High-Performance Computing (HPC) environment.
Familiarity with genome-wide association studies, particularly in fine mapping and colocalization from GWAS summary data is expected.
Hands-on experience in curating and processing transcriptomic datasets, especially bulk and single-cell RNA-Seq, with the ability to conduct corresponding downstream analyses would be advantageous.
Knowledge and proficiency in basic statistical concepts, e.g. p-value, odds ratio, effect size, multiple testing correction, familiarity with Bayesian approaches employed for colocalization analysis would be advantageous.
Previous experience in immunological diseases or rare disease genetics is a plus.
Our role in supporting diversity and inclusion As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.
