Bioinformatics Analyst I

Baylor College of Medicine; Houston (TX); On-site; USD 85,000 - 120,000; Full time

Job summary

Baylor College of Medicine in Houston, TX, seeks a bioinformatics analyst to translate complex biological data into actionable insights and to develop pipelines that support diverse research, including projects on neurodegenerative diseases, rare diseases, and cancers.

Responsibilities include data interpretation, software development of pipelines, and collaboration with molecular biologists and geneticists.

Qualifications

• Bachelor's degree (or higher) in a biological, computational, or data science field is required.
• Master's degree is preferred.
• Experience with computational genomics or related research is a plus.

Responsibilities

• Data interpretation and analysis of diverse biological datasets to support research initiatives.
• Design, implement, and maintain bioinformatics software tools and pipelines.
• Collaborate with molecular biologists, geneticists, and researchers on scientific questions.
• Stay updated with recent literature and integrate new methods and technologies.
• Present findings clearly to researchers and contribute to scientific papers.
• Perform other job-related duties as assigned.

Skills

Python

R

Bash

Git

Docker

HPC

Cloud platforms

Communication

Education

Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or related field

Master’s degree in Bioinformatics, Computational Biology, Computer Science, or related field

Tools

Docker

Git

Cloud platforms

HPC

Job description

Summary

A bioinformatics analyst position is available at Texas Children’s Hospital, Department of Pediatrics, Baylor College of Medicine. Located in the Texas Medical Center in Houston, Baylor College of Medicine stands out as a leading academic health science institution, renowned for its excellence in education, research, healthcare, and community service. This role is ideal for an individual passionate about leveraging computational tools to unravel complex biological questions and contribute to pioneering research in various types of diseases, including neurodegenerative diseases, rare diseases, and cancers. Our ideal candidate not only has a strong grounding in bioinformatics but also has a genuine passion for data science. This role provides an opportunity to be at the forefront of computational biology, contributing directly to studies that have the potential to make a significant impact in the field.

Job Duties

• Data Interpretation: Efficiently process and analyze diverse biological datasets, deriving actionable insights to support our research initiatives.
• Software Development: Design, implement, and maintain bioinformatics software tools and pipelines, ensuring optimized performance and accuracy.
• Collaborative Analysis: Work closely with molecular biologists, geneticists, and other researchers to address complex scientific questions.
• Stay Updated: Regularly review recent scientific literature, integrating new methodologies, tools, and technologies into our analytical processes.
• Communication: Present findings clearly and concisely to specialist and non-specialist researchers and author/co-author scientific papers.
• Perform other job related duties as assigned.

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 master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills with proficiency in Python and/or R. Familiarity with scripting languages like Bash.
• Minimum of 2 years of research or working experience in a computational field, preferably with a focus on genomics.
• Proven experience in statistical analysis and machine learning applications.
• Excellent collaboration and communication skills, with a proven track record of contributing to interdisciplinary projects.
• Expertise with high-performance computing, cloud-based platforms, docker, and version control systems (e.g., Git) is a plus.

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