Bioinformatics Analyst I
- Employer
- Baylor College of Medicine
- Location
- Houston, Texas
- Closing date
- Aug 20, 2022
View more
- Discipline
- Life Sciences, Bioinformatics
- Position Type
- Full Time
- Job Type
- Other
- Organization Type
- Academia
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Summary
An open position for a Bioninformatic Analyst I is available in the Department of Ophthalmology, Baylor College of Medicine, Houston, TX. The successful candidate will work alongside research scientists and clinicians with diverse backgrounds, including other bioinformaticians and computational biologists, molecular biologists, geneticist and immunologists. The work will focus on harnessing the power of genomic technologies to address translational and clinical bioinformatic challenges pertaining to ocular diseases. The successful candidates will analyze multiple high-throughput functional genomics data sets on the genome, epigenome, and transcriptome in disease-relevant tissues/cells and use computational approaches to integrate and analyze this data to identify the molecular components and the structure of the regulatory apparatus underlying gene expression variation.
This position is an outstanding opportunity for career development for recent science graduates interested in biomedical research and/or future advanced degree training in the biomedical sciences or medicine.
To know more about the lab, please click on the link below.
https://www.bcm.edu/people-search/rinki-ratnapriya-29180
Job Duties
Minimum Qualifications
Preferred Qualifications
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.
11191
CA; SN
An open position for a Bioninformatic Analyst I is available in the Department of Ophthalmology, Baylor College of Medicine, Houston, TX. The successful candidate will work alongside research scientists and clinicians with diverse backgrounds, including other bioinformaticians and computational biologists, molecular biologists, geneticist and immunologists. The work will focus on harnessing the power of genomic technologies to address translational and clinical bioinformatic challenges pertaining to ocular diseases. The successful candidates will analyze multiple high-throughput functional genomics data sets on the genome, epigenome, and transcriptome in disease-relevant tissues/cells and use computational approaches to integrate and analyze this data to identify the molecular components and the structure of the regulatory apparatus underlying gene expression variation.
This position is an outstanding opportunity for career development for recent science graduates interested in biomedical research and/or future advanced degree training in the biomedical sciences or medicine.
To know more about the lab, please click on the link below.
https://www.bcm.edu/people-search/rinki-ratnapriya-29180
Job Duties
- Conducts research activities according to research protocol. Research activities will heavily focus on high-throughput bulk and single-cell multi-omic data (RNA-seq and ATAC-seq) in ocular tissues.
- Provides technical leadership and establishes protocols and guidelines for performing single-cell library generation, NGS sequencing, and data analysis.
- Designs, implements and operates bioinformatics pipelines using existing analytical tools for NGS applications.
- Ensures data quality control is constantly and consistently applied to incoming data sets.
- Creates reports of data quality and communicate these to computational staff.
- Summarizes, visualizes, and communicates research and analyses findings to the principal investigator.
- Collaborates with other bioinformaticians and lab researchers in project design, data analysis, interpretation, and reporting.
Minimum Qualifications
- Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
- No experience required
Preferred Qualifications
- Bachelor's or Masters in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
- The candidate should have a strong computational background with the ability to code in Python and R.
- Previous experience in analyzing next-generation sequencing (NGS) data is a plus.
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.
11191
CA; SN
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