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Night Veterinary Data Analysis Jobs (NOW HIRING)

Position Information Position Title Research Assistant Professor-Genomic Sequencing Data Analysis ... night, weekend, and after hour work? yes Will this positon be supported using grants or contract ...

Strong reporting and data analysis skills -- comfort working with KPIs, financial reports, and ... Occasional night and weekend availability is required. Core Competencies * Strategic and financial ...

Analyze call transcripts and help build and refine rules that extract behavioral and intent signals ... Monthly team outings (ball games, casino night, hikes, etc.). * Career growth - we enjoy promoting ...

Facilitate discussions with stakeholders across sales, production, logistics, quality, veterinary ... Perform data validation, troubleshooting, and root-cause analysis to ensure the accuracy and ...

Facilitate discussions with stakeholders across sales, production, logistics, quality, veterinary ... Perform data validation, troubleshooting, and root-cause analysis to ensure the accuracy and ...

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Night Veterinary Data Analysis information

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How much do night veterinary data analysis jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for night veterinary data analysis in the United States is $15.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What is the difference between Night Veterinary Data Analysis vs Night Veterinary Technician?

AspectNight Veterinary Data AnalysisNight Veterinary Technician
CredentialsTypically requires a degree in data analysis, veterinary science, or related fieldRequires veterinary technician certification or associate degree in veterinary technology
Work EnvironmentPrimarily office or lab setting, analyzing data during night shiftsClinical setting, assisting with patient care during night hours
Employer & IndustryVeterinary clinics, research labs, pet health companiesVeterinary clinics, animal hospitals, emergency clinics
Search & ComparisonOften compared for roles supporting veterinary health through dataCompared for hands-on animal care roles during night shifts

Night Veterinary Data Analysis focuses on interpreting veterinary data and supporting research, while Night Veterinary Technicians provide direct patient care. Both roles operate during night hours but differ in credentials, work environment, and job functions.

How to become a night veterinary data analyst?

To become a night veterinary data analyst, you typically need a bachelor's degree in data analysis, statistics, or a related field, along with experience in veterinary medicine or animal health data. Proficiency in data analysis tools like Excel, SQL, or Python is important, and strong attention to detail is essential for working during night shifts. Gaining knowledge of veterinary practices and certifications in data analysis can improve job prospects in this specialized role.
What cities are hiring for Night Veterinary Data Analysis jobs? Cities with the most Night Veterinary Data Analysis job openings:
What are the most commonly searched types of Veterinary Data Analysis jobs? The most popular types of Veterinary Data Analysis jobs are:
What states have the most Night Veterinary Data Analysis jobs? States with the most job openings for Night Veterinary Data Analysis jobs include:

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

On-site

Full-time

Re-posted 5 days ago


Job description

Position Details
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Position Information
Position Title
Research Assistant Professor-Genomic Sequencing Data Analysis
Job Summary
We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.
Essential Job Duties
  • Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets.
  • Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
  • Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
  • Collaborate with wet-lab scientists to integrate genomic data with experimental results.
  • Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
  • Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
  • Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
  • Maintain data management, quality control, and reproducibility standards in accordance with institutional and funding agency guidelines,

Preferred Qualifications
  • Ph.D. or equivalent degree, with postdoctoral training in bioinformatics, computational biology, genomics, computer science, statistics, or related field.
  • Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation.
  • Proficiency with bioinformatics tools (e.g., GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, Seurat) and programming languages (e.g., Python, R, Bash).
  • Experience working with high-performance computing and cloud-based analysis platforms.
  • Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.

Physical Demands
FLSA
Exempt
Status
Full-Time
Skills and Attributes
  • Familiarity with database development, workflow management systems (e.g., Nextflow, Snakernake), and reproducible research practices (e.g., Docker, Git).
  • Strong track record of peer-reviewed publications in genomic data analysis.
  • Excellent problem-solving, organizational, and communication skills.
  • Ability to work effectively in multidisciplinary research teams.

Posting Detail Information
Posting Number
Will this position required travel?
yes
Will this position required night, weekend, and after hour work?
yes
Will this positon be supported using grants or contract funding?
yes
Number of Vacancies
1
Desired Start Date
Position End Date (if temporary)
Open Date
04/07/2026
Close Date
Open Until Filled
No
Special Instructions Summary
Each applicant, including all current employees, must complete and submit the following documents:
  • Tuskegee University employment application
  • Cover Letter
  • Resume/CV
  • Recommendation letters
  • Copies of unofficial transcripts.
  • Please note that official transcripts(s) will be required upon hire

Quick Link for Internal Postings
https://tuskegee.peopleadmin.com/postings/3659