Bioinformatics Analyst
Posted 4 days ago by 1752646632
Negotiable
Outside
Remote
USA
Summary: The Bioinformatics Analyst role involves supporting computational research within the Computational Sciences Immunology team, focusing on analyzing sequencing data from pre-clinical studies and publicly available datasets. The position requires a self-motivated scientist to work collaboratively with bioinformatics researchers and biologists. The analyst will handle large datasets and perform comprehensive analyses to identify mechanisms of action and potential biomarkers. This is a remote position requiring support during Pacific time zone business hours.
Key Responsibilities:
- Compile and analyze internal and publicly available single-cell RNA-seq and TCR-seq datasets.
- Perform comprehensive analysis of various NGS data sets including bulk RNA-seq, single-cell RNA-seq and single-cell TCR-seq.
- Act as an analyst on an NGS project, going from data exploration and normalization, differential gene expression, pathway analysis, to producing compelling data visualizations and presentations to colleagues.
- Complement existing code to generate specific plots and subsequent analysis from existing project data, or perform one-off analyses of individual studies.
Key Skills:
- A recent PhD graduate in Bioinformatics, Genomics, or Computational Biology.
- Strong statistical analysis and computational skills, including basic proficiency using Linux-based servers and high level of proficiency with the R programming language and packages such as ggplot2.
- Relevant experience for dealing with large datasets: batch effect detection and normalization, and confounding and covariate adjustment.
- Experience organizing and documenting code.
- Strong communication skills including presenting and interpreting biology focused results especially focused on immunology.
- Experience with immunology and/or oncology is a plus, but not essential.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Bioinformatics Analyst
Location: Remote / South San Francisco, CA
Duration: 12+ Months
Rate: $40- $50/Hr. W2
We seek a self-motivated, independent, and creative scientist to support computational research within our Computational Sciences Immunology team. We have a team of skilled bioinformatics researchers working in a highly collaborative environment with both biomarker and experimental biologists. This role will focus on analyzing sequencing data from pre-clinical studies and publicly available datasets to look for mechanisms of action and potential biomarkers.
Position Details
Need to Support on Pacific time zone business hours.
Duties
1. Compile and analyze internal and publicly available single-cell RNA-seq and TCR-seq datasets. This includes handling large datasets and understanding integration methods.
2. Perform comprehensive analysis of various NGS data sets including bulk RNA-seq, single-cell RNA-seq and single-cell TCR-seq.
3. Act as an analyst on an NGS project, going from data exploration and normalization, differential gene expression, pathway analysis, to producing compelling data visualizations and presentations to colleagues.
4. Complement existing code to generate specific plots and subsequent analysis from existing project data, or perform one-off analyses of individual studies.
Skills
1. A recent PhD graduate in Bioinformatics, Genomics, or Computational Biology.
2. Strong statistical analysis and computational skills, including basic proficiency using Linux-based servers and high level of proficiency with the R programming language and packages such as ggplot2.
3. Relevant experience for dealing with large datasets: batch effect detection and normalization, and confounding and covariate adjustment.
4. Experience organizing and documenting code.
5. Strong communication skills including presenting and interpreting biology focused results especially focused on immunology.
6. Experience with immunology and/or oncology is a plus, but not essential.