Bioinformatics Analyst III (Remote)

Job Description

· We have an exciting contract opportunity for a Bioinformatics analyst within the Genomics Research Center to support our internal research team.

· The successful candidate will be part of the Emerging Technology Team and will be responsible for all aspects of bioinformatics analysis for a variety of novel and standard NGS experiments including quality control, platform validation, differential gene/protein expression, and CRISPR Screenings, and cell image analysis.

· The successful candidate will work closely with multiple senior computational biologists to ensure smooth communication across teams and timely delivery of results.

· The ideal candidate should have demonstrated previous experience analyzing variety of different Omic data, be comfortable using R/Python to do the data analysis and have excellent communication skills.

What hours and days will this person be working?

· Typically between 9AM-5PM Central Time.

What are the top 5 skills/requirements this person is required have?

· Required Skill 1: Proficient in using R to do basic data analysis (processing, plotting…)

· Required Skill 2: Comfortable working with NGS data (mostly Illumina short read technology)

· Required Skill 3: Ability to communicate results to scientists with broad range of expertise

· Required Skill 4: Familiarity with basics of statistical modeling

· Required Skill 5: Comfortable working in UNIX environment and work with job scheduler such as SLURM

What years of experience, education, and/or certification is required?

· B.S. in Bioinformatics/Biostatistics/CS with 6+ years of experience.

· M.S. in Bioinformatics/Biostatistics/CS with 4+ years of experience.

· Ph.D. in Bioinformatics/Biostaistics/CS with 2+ years of experience

What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification?

· Experience working in Linux/Unix environment, including job submission using High Performance Computing (HPC) cluster.

· Experience analyzing additional ‘omic data sets (e.g. scRNA-seq, proteomics, pooled CRISPR screens, spatial transcriptomics, Massively Parallel Reporter Assay).

· Experience with gene ontology and pathway enrichment analysis.

· Proficient in literature search to identify relevant public data sets to support and interpret internally generated results.

· Experience with Limma and/or Dream for differential gene expression analysis with linear mixed models.

· Experience working with NGS data from non-human animals.

· Experience managing project(s) involving multiple stakeholders and facilitating information exchange

What positions/background experience do you feel are successful in this role.

· Previous experience working with various application of NGS data analysis using RCompany Description

Collabera is a Global Digital Solutions Company providing Software Engineering Solutions for the world's most tech-forward organizations in the areas of Engineering, Cloud and Data/AI. With its roots serving the engineering needs of the world's most recognized businesses in Technology, Financial Services, Telecom and Healthcare, Collabera today operates across 60 locations in 11 countries, serves 30% of the Fortune 500, and has exceeded the industry growth rate by 3-4x for several years.