Assistant Research Data Scientist -Data & Bioinformatics
Texas A&M AgriLifeAbout the role
Job Title
Assistant Research Data Scientist -Data & BioinformaticsAgency
Texas A&M Agrilife ResearchDepartment
AgriLife Center for Managed Technology Services (CMTS)Proposed Minimum Salary
CommensurateJob Location
College Station, TexasJob Type
StaffJob Description
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
Click here to learn more about how you can be a part of AgriLife and make a difference in the world!
The Assistant Research Data Scientist – Data & Bioinformatics is a service-focused technical expert within the Center for Managed Technology Services (CMTS). This role supports researchers across disciplines by delivering outcome-based services in bioinformatics, data engineering, advanced analytics, and cloud-based research computing.
Operating under CMTS’s cost-recovery service block model, the Assistant Research Data Scientist offers high-skill human capital that transforms raw data into reproducible workflows, actionable insights, and sustainable solutions. The successful candidate will work across multiple projects to analyze next-generation sequencing (NGS) data, design scalable pipelines, integrate heterogeneous datasets, and train researchers in modern data practices.
Position Structure
This is a full-time professional position reporting to the Director of CMTS. All work is scoped and delivered under a service model, enabling equitable access to high-skill expertise. The Assistant Research Scientist – Data & Bioinformatics may support multiple projects simultaneously and will focus on delivering reproducible, interpretable, and scalable results within each engagement.
Key Responsibilities
NGS and Bioinformatics Analysis
- Process raw sequencing data (quality control, alignment, assembly, variant calling).
- Apply functional annotation, gene expression analysis, and microbiome profiling.
- Deliver biological interpretations in formats suitable for publication, compliance, and grant deliverables.
Scientific Leadership & Research Enablement
- Exercises independent scientific judgment and analysis to support and enhance research projects conducted by other researchers.
- Advises investigators on experimental design, analytical approaches, and appropriate computational methods across genomics, bioinformatics, and data science.
- Translates research questions into rigorous analytical strategies, selecting methods, models, and tools aligned with scientific objectives.
Data Engineering and Cloud Analytics
- Build and optimize reproducible pipelines using Python, R, SQL, Bash, Snakemake, or Nextflow.
- Deploy workflows on HPC, institutional servers, and cloud platforms (Azure, AWS, Databricks).
- Implement FAIR-compliant data stewardship and governance.
Applied Machine Learning and Statistics
- Apply statistical models, ML/AI me
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