Bioinformatics Analyst I

Baylor College of Medicine

Houston, TX

ID: 7106151 (Ref.No. 12472-en_US)
Posted: July 22, 2022
Application Deadline: Open Until Filled

Job Description


We are looking for a Bioinformatics Analyst I. The position will involve analysis and visualization of large throughput multi-omics molecular profiles in various human disease models. Data types include single cell transcriptomics, proteomics, metabolomics and epigenomics analysis (MS proteomics and phosphoproteomics, scRNA-Seq, scATAC-Seq, scWGBS-Seq, scCut&Tag), and bulk tissue datasets spanning transcriptomics, proteomics, metabolomics, and epigenomic profiles. Analysis will further incorporate advanced data science techniques such as deep learning and classification to identify potential disease drivers or biomarkers, repurposable drugs, and novel clinical associations of molecular profiles. The job will include both deployment and development of state-of-the art analysis pipelines. The successful candidate will receive training in analyses of multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale datasets and data processing pipelines.

Job Duties

  • Adapts, runs and validates multiple omics analysis pipeline: metabolomics, antibody proteomics, bulk and single cell RNA-Seq, epigenomics (ChIP-seq, bisulfite sequencing, DNA methylation arrays)
  • Performs association analysis of molecular signatures with clinical variables such as survival and tumor stage.
  • Ensures that multi-omics data analysis objectives are met as required by project or supervisor. Uses various computational analyses and biological interpretation of results to review existing data and propose improvements. 
  • Develops, deploys, and tests in-house bioinformatics tools.
  • Reviews existing multimodal omics signatures, publicly available datasets, propose and execute integrative analysis.
  • Interprets results from similarity searches and integration of investigator and publicly available datasets.

Minimum Qualifications

  • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
  • No experience required. 

Preferred Qualifications

  • A Master of Science or PhD in Computer Science/Engineering, Bioinformatics, Mathematics and a minimum of two years experience are required. 
  • Minimal qualifications: Python/R programming, bioinformatics analysis of RNA-Seq, ChIP-Seq, pathway analysis, Unix/Linux, PBS or SLURM cluster based computing
  • Recommended qualifications: R/Shiny / JavaScript/Django web development, database management, Machine Learning



Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.


Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.



Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.