Texas A&M University Health Science Center is seeking a Postdoctoral Research Associate in Computational Biology to conduct lab experiments, analyze and communicate data, and aid in grant writing, with the goal of improving health through transformative education, innovative research, and team-based health care delivery.
Requirements
- Training in statistics, and programming experience in a UNIX/Linux environment using programming languages such as Python, R, and/or Perl is required.
- Experience in analysis of genomic/trancriptomic/epigenomic data including RNA-seq, ATAC-seq, and ChIP-seq.
- Experience in working with high-performance computing environment.
- Experience in data management and developing data-processing pipelines.
- Proficiency in programming languages such as R, Python, Matlab.
- Familiarity with software development best practices (e.g., unit testing, version control).
- Familiarity with inferential statistics and machine learning.
Responsibilities
- Performs hypothesis-driven computational research with a clear understanding and use of controls.
- Uses computational methods to analyze large-scale sequencing data and formulate quantitative models.
- Interprets the data and explain the results in research discussion.
- Implements, applies, and evaluates tools to process, integrate, and visualize high-throughput sequencing datasets
- Provides support to lab members and collaborators in designing experiments and analyzing datasets.
- Presents their work at group meetings and write up their work for publication.
- Communicates scientific results at lab meetings and scientific conferences
Other
- Appropriate PhD in a related field.
- Supervises undergraduate and/or graduate students and other laboratory, technical or field staff involved in research.
- Capable of working within a team of wet and dry lab researchers.
- Full-Time; This position may require work beyond normal office hours and/or work on weekends
- This position is grant funded; future employment may be contingent upon future funding.
