Collabera
Bioinformatics Analyst II (Remote)
Collabera - North Chicago, Illinois, us, 60086
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Home Search Jobs Job Description
Bioinformatics Analyst II (Remote)
Contract: North Chicago, Illinois, US
Salary Range: 40.00 - 45.00 | Per Hour
Job Code: 359508
End Date: 2025-04-03 Days Left: 2 days, 3 hours left
Apply
To discuss more about this job opportunity, please reach out to Himanshu Kumar Singh(LinkedIn URL - https://www.linkedin.com/in/himanshu-kumar-singh-57b782258/ ) , email your updated resume at Email - himanshu.ksingh@collabera.com or give me a call at (425) 403-0902. Thank you! Pay Range: $40 - $45/hour
Position Details: Industry : Pharmaceutical Job Title : Bioinformatics Analyst II
(Genetics Focused) Location : Remote Duration : 6 Months to start (possible extensions) Job Description:
Experience with genome-wide association studies, particularly fine mapping and colocalization from GWAS summary data is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. Ability to critically evaluate experimental design, QC and suggest improvements. Strong proficiency in R and/or Python programming for bioinformatics workflows Experience working in HPC and cloud environment MS+2 or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience with code reproducibility, e.g. managing github repositories. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of genetics data. Qualification:
Master's degree with 2+ years experience or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience with genome-wide association studies, particularly fine mapping and QTL colocalization from GWAS summary data is a plus. Familiarity with methods to prioritize genes per GWAS locus given multiuple lines of evidence is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. Demonstrated experience in the analysis and integration of NGS data. Familiarity with the construction and execution of bioinformatics workflows. Strong proficiency in R and/or Python programming for bioinformatics workflows. Knowledge and proficiency in basic statistical concepts. Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment. Experience with code reproducibility, e.g. managing github repositories. Prior research experience in studying immunological diseases areas is a plus. Experience with Nextflow is a plus. Position Details:
Industry : Pharmaceutical Job Title : Bioinformatics Analyst II
(Transcriptomics focused) Location : Remote Duration : 6 Months to start (possible extensions) Job Description:
Strong experience processing and analyzing Transcriptomic (bulk RNAseq & scRNAseq) data. Ability to critically evaluate experimental design, QC and suggest improvements. Strong proficiency in R and/or Python programming for bioinformatics workflows Experience working in HPC and cloud environment MS+2 or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience with code reproducibility, e.g. managing github repositories The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of transcriptomics data. Qualification:
Master's degree with 2+ years experience or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience in curating, checking, and processing transcriptomic datasets (such as bulk and single-cell RNA-Seq) and corresponding downstream analyses (e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization, and result interpretation). Demonstrated experience in the analysis and integration of NGS data. Familiarity with the construction and execution of bioinformatics workflows. Strong proficiency in R and/or Python programming for bioinformatics workflows. Knowledge and proficiency in basic statistical concepts. Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment. Experience with code reproducibility, e.g. managing github repositories. Prior research experience in studying immunological diseases areas is a plus. Job Requirement
Bioinformatics' Reach Out to a Recruiter Recruiter Email Phone Himanshu Singh himanshu.ksingh@collabera.com
Apply Now
Home Search Jobs Job Description
Bioinformatics Analyst II (Remote)
Contract: North Chicago, Illinois, US
Salary Range: 40.00 - 45.00 | Per Hour
Job Code: 359508
End Date: 2025-04-03 Days Left: 2 days, 3 hours left
Apply
To discuss more about this job opportunity, please reach out to Himanshu Kumar Singh(LinkedIn URL - https://www.linkedin.com/in/himanshu-kumar-singh-57b782258/ ) , email your updated resume at Email - himanshu.ksingh@collabera.com or give me a call at (425) 403-0902. Thank you! Pay Range: $40 - $45/hour
Position Details: Industry : Pharmaceutical Job Title : Bioinformatics Analyst II
(Genetics Focused) Location : Remote Duration : 6 Months to start (possible extensions) Job Description:
Experience with genome-wide association studies, particularly fine mapping and colocalization from GWAS summary data is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. Ability to critically evaluate experimental design, QC and suggest improvements. Strong proficiency in R and/or Python programming for bioinformatics workflows Experience working in HPC and cloud environment MS+2 or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience with code reproducibility, e.g. managing github repositories. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of genetics data. Qualification:
Master's degree with 2+ years experience or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience with genome-wide association studies, particularly fine mapping and QTL colocalization from GWAS summary data is a plus. Familiarity with methods to prioritize genes per GWAS locus given multiuple lines of evidence is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. Demonstrated experience in the analysis and integration of NGS data. Familiarity with the construction and execution of bioinformatics workflows. Strong proficiency in R and/or Python programming for bioinformatics workflows. Knowledge and proficiency in basic statistical concepts. Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment. Experience with code reproducibility, e.g. managing github repositories. Prior research experience in studying immunological diseases areas is a plus. Experience with Nextflow is a plus. Position Details:
Industry : Pharmaceutical Job Title : Bioinformatics Analyst II
(Transcriptomics focused) Location : Remote Duration : 6 Months to start (possible extensions) Job Description:
Strong experience processing and analyzing Transcriptomic (bulk RNAseq & scRNAseq) data. Ability to critically evaluate experimental design, QC and suggest improvements. Strong proficiency in R and/or Python programming for bioinformatics workflows Experience working in HPC and cloud environment MS+2 or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience with code reproducibility, e.g. managing github repositories The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of transcriptomics data. Qualification:
Master's degree with 2+ years experience or PhD in the quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience in curating, checking, and processing transcriptomic datasets (such as bulk and single-cell RNA-Seq) and corresponding downstream analyses (e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization, and result interpretation). Demonstrated experience in the analysis and integration of NGS data. Familiarity with the construction and execution of bioinformatics workflows. Strong proficiency in R and/or Python programming for bioinformatics workflows. Knowledge and proficiency in basic statistical concepts. Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment. Experience with code reproducibility, e.g. managing github repositories. Prior research experience in studying immunological diseases areas is a plus. Job Requirement
Bioinformatics' Reach Out to a Recruiter Recruiter Email Phone Himanshu Singh himanshu.ksingh@collabera.com
Apply Now