Bioinformatics Postdoctoral Associates
Listed on 2025-11-28
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Healthcare
Data Scientist
Employer Texas Tech University Health Sciences Center Location Lubbock, Texas, United States Job Description
Texas Tech University Health Sciences Center is a top 100 Best Medical School (Ranked 19 in Primary Care by US News). Texas Tech University is an R1 University. It is the second largest contiguous campus (1,900 acres) in the US, and the only university in Texas to house an undergraduate and graduate university, law school, and medical school on the same campus.
Lab
Description:
The Li Bioinformatics and Computational Genomics Lab (dllab.org) is seeking outstanding Postdoctoral Associates in genomic sequencing data analyses and pipeline development to join our new lab and planned new Center for Genomic Medicine. About our lab:
Largest ME/CFS genomics program;
State‑of‑the‑art HPC;
Strong mentoring and support team. Example of our recent papers:
Genome Res PMID: ;
Bioinformatics PMID: . The University and lab are fully committed to supporting trainee’s career development. Salary is highly competitive and is commensurate with experience and productivity.
- Conduct genomic data‑analyses (genome, transcriptome, methylome, etc.) from FASTQ/BAM files, integrative multi‑omics analyses, transposable element analyses, and/or other genomic/bioinformatics analyses or software development.
- Method and software comparisons and benchmarking of available tools. Design, develop, and implement new bioinformatics pipelines.
- Optimize pipelines and parameters specific to project(s). Perform quality assurance of all workflows and analyses. Ensure all essential positive and negative controls included.
- Read literature related to current projects and incorporate into the projects.
- Maintain accurate records of methods, software, and parameters used. Ensure reproducibility.
- Draft reports and original manuscripts for publications. Present in meetings and conferences.
- Work carefully, pay attention to details, and troubleshoot bugs. Adhere to deadlines.
- Perform other job‑related duties as assigned. Demonstrate self‑motivation.
Minimum Qualifications:
- PhD or equivalent doctorate (e.g.,
D.Sc., M.D.) in area of project specialization. - Knowledge of modern research practices, the methods, resources, and standards thereof. Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities. Ability to integrate resources, policies, and information for the determination of procedures, solutions and other outcomes. Ability to establish and maintain effective work relationships with other employees and the public.
Ability to plan and allocate the workload of employees, providing direct training and supervision as needed.
Minimum Qualifications:
- Experience in Linux command lines, HPC, genomic, transcriptomic and/or epigenomic data analyses, and/or related software comparisons and new pipeline development, etc.
To apply, all applicants should submit to: , Job .
For any questions, please email the PI with CV at: d or dawei.li
.
The positions are open until filled. The position updates can be seen (Use the "Apply for this Job" box below)..
EEO Statement
As an EEO/AA employer, the Texas Tech University System and its components will not discriminate in our employment practices based on an applicant’s race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.
Jeanne Clery Act
The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act is a federal statute requiring colleges and universities participating in federal financial aid programs to maintain and disclose campus crime statistics and security information. By October 1 of each year, institutions must publish and distribute their Annual Campus Security Policy & Crime Statistics Report (ASR) to current and prospective students and employees.
To view this report, visit the TTUHSC Clery Act website.
Job Type: Fulltime
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