Description

The primary role is to execute a variety of data management and analysis tasks, ensuring the quality, reproducibility, and efficiency of processes related to high-dimensional data. You will collaborate with study investigators and fellow bioinformatics professionals within the department to contribute to high-quality, reproducible research across various scientific disciplines and diseases.

The ideal candidate will have: Proficiency in programming languages such as Bash, Python, R, C/C++, or other scripting languages in a Linux/Unix environment is required. Experience working with large datasets or bioinformatics data is essential. Proven experience in building and optimizing analysis pipelines for high-throughput next-generation sequence data analysis under Linux/Unix environment is a must. Familiarity with HPC schedulers (LSF, Slurm, etc.) is necessary.

Competence in working with distributed storage systems (GPFS / Spectrum Scale, Spark, etc.) is required. Proficiency in database development and SQL is essential. Prior experience in independent data analyses and project management is preferred.

Duties and Responsibilities:

• Data analysis and pipeline development

• Develop, optimize, and maintain highly automated analytical pipelines, leveraging GPU technology for the analysis of high-throughput short and long reads next-generation sequence data (e.g., WGS, WES, WGBS, ChIP-Seq, ATAC-Seq, RNA-Seq, Hi-C, CUTRUN-Seq) in a Linux/Unix environment.

• Manipulate common genomic file formats (e.g., FASTQ, SAM, BAM) for NGS experiments.

• Convert study data to and from common genetic file formats (e.g., PLINK, VCF).research support and collaboration

• Assist in the development of grant applications and contribute to the presentation of research results.

• Engage in formal and informal training activities, journal clubs, and grant-writing meetings.

• Support manuscript preparation and submission, benchmarking results, new pipelines, databases, and scientific discoveries where applicable.

• Protocol Development and Knowledge Sharing

• Establish best practices and novel protocols for data analysis.

• Share protocols and expertise through open documentation and hands-on training.

• Funding Acquisition: Assist in securing funding to support methods evaluation, development, and infrastructure.

• Perform other duties as assigned

Salary Range: $52,555 - $85,400

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