Bioinformatics Analyst III (Computational Biologist) at Randstad USA

job summary:

As the largest staffing and recruitment agency in the world, we can commit to finding you the perfect role that gives you the opportunity to learn and grow in the life sciences arena. Utilizing a recruiter for your job search gives you access to a large network of top employers as well as detailed information about hundreds of positions. A current top partnership with a research-driven biopharmaceutical company is known as a powerhouse that aims to develop treatments for difficult-to-cure diseases. This renowned employer has created 32 products, including Humira and Lupron, that have highly impacted lives across the globe. If you're looking to stand out in your field and lead the way to innovative therapies, this position is for you!

 
location: North Chicago, Illinois
job type: Contract
salary: $55.00 - 60.37 per hour
work hours: 9 to 5
education: Doctorate
 
responsibilities:

We are seeking a Bioinformatician to join our cross-functional team and provide advanced bioinformatics support for studies of age-related diseases. The successful candidate will use a variety of 'omics data to test and refine biological hypotheses in coordination with wet-lab and computational colleagues. Key responsibilities include:

• Upstream processing of 'omics data (QC, normalization, exploratory data analysis).
• Downstream processing of bulk, single-cell, and/or spatial transcriptomic data (e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization).

Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs. Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edgeR/limma). Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply. A background in human disease biology is helpful but not required.

 
qualifications:

• PhD in Bioinformatics, Genetics, Molecular and Cellular Biology, or related field or MS with at least 6 years of experience.
• Single-cell and/or spatial transcriptome QC and analysis (e.g., with Seurat or Scanpy)
• Bulk RNAseq data processing and analysis
• Facility with R and/or Python for data exploration and statistical analysis
• Experience with high-performance computing (HPC) and job submission systems

 
skills: Molecular Biology, Cell Biology, Biology, R Language

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.