Title:  Bioinformatics Analyst I

Division:  Duncan Cancer Center
Schedule:  Monday -Friday, 8:00 a.m. - 5:00 p.m.
Work Location:  Hybrid
Salary Range:  $46,176 - $63,723
FLSA Status:  Exempt
Requisition ID:  14015


Baylor College of Medicine has an opportunity for a Bioinformatics Analyst I position with a focus on integrative analysis of transcriptomic, epigenomic, metabolomics and proteomic large-scale datasets, under joint supervision of Dr. Cristian Coarfa and Dr. Ivan O. Rosas. The position will involve single cell multi-omics analysis, spatial transcriptomics, and data science to support research aimed at understanding the molecular changes at single cell level in human pulmonary fibrosis (PF) and chronic obstructive pulmonary disease (COPD) with implications in patient level risk assessment and host-directed therapies (Coarfa et al Redox Biology 2020, Adams et al Sci Adv 2020, Sauler et al Nat Comm 2022). The position is intended for Computer Science, Computational Biology, or life science graduates transitioning to a data science and bioinformatics career.  The successful candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale datasets and data processing pipelines.  The candidate will analyze single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, spatial transcriptomics, as well as bulk RNA-Seq, Metabolomics, and Lipidomics datasets, generated from lung disease cohorts with rich clinical data, followed by advanced modeling of chronic lung disease (PF and COPD) risk using approaches including generalized linear models and deep learning. 

Job Duties

  • Creates and validates pipelines for the analysis of a variety of data
  • Reviews existing bioinformatics techniques and propose improvement
  • Tests bioinformatics pipeline from the literature and apply to existing data
  • Organizes analysis findings and presents findings to the lab
  • Ensures that annotation of variation objectives are met as required by the project supervisor.
  • Uses various computational analyses and biological interpretation of results to review existing data and propose improvements.

Minimum Qualifications

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

Preferred Qualifications

  • M.Sc. or PhD in biology
  • Two years’ experience in data analysis, as well as a strong background in statistics, and familiarity with large data sets such as proteomics or sequencing.  
  • Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be expected to pass a basic programming test in Python).  
  • Due to the nature of the position, successful candidates must have excellent written and verbal English skills, strong communication and interpersonal skills, and be capable of working with large collaborative teams. 



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.