Bioinformatics Analyst II

ScienceJobs.Org
Houston, TX, United States
2 days ago
Apply on sciencejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Big Data Bioinformatics Clinical Data Repository Computational Biology Generalized Linear Model Python (Programming Language) Machine Learning Information Technology Data Pipelines

Job description

The Bioinformatics Analyst II will lead innovative research projects focused on studying the molecular mechanisms of arrhythmias with emphasis on conduction system diseases. To identify these pathways, the Bioinformatics Analyst II will analyze and integrate data from mouse models for different diseases, human tissue, human iPSC-derived pacemaker-like cells and cutting-edge approaches, including single-cell RNA-sequencing using bioinformatics tools and AI. The candidate should have experience 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., * Plans and conducts experiments, analyzes data, and prepares publications describing results.

  • Implements and analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, and Metabolomics generated from mouse and patient cohorts with rich clinical data - Advanced modeling of arrhythmias using generalized linear models and machine learning.
  • Helps in training and mentoring of lab personnel, including graduate and undergraduate students.
  • Maintains good communication with lab leader and members.
  • Reads and evaluates literature
  • Attends scientific networking workshops/conferences
  • Write grants for extramural funding with the assistance of a faculty mentoring team.
  • Performs other job related duties as assigned.

Requirements

  • Bachelor’s degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field.
  • One years of relevant experience., * Master’s degree in a related field.
  • Experience with R or Python.
  • Experience with ML and AI.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on sciencejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

6:34 min

Commercial applications of modern artificial intelligence and machine learning

Kris Howard · LIVE

Videos

See all

Related articles

See all