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Disease Modeling Jobs (NOW HIRING)

$139K - $209K/yr

We are looking for a scientist with significant hands-on expertise in utilizing mechanistic and disease renal and cardiac in vivo models to enable the characterization of novel drug targets or ...

AcuraStem is seeking a research associate to support our iNeuroRx disease modeling platform. This platform will be employed for target discovery/validation, biomarker evaluation and the construction ...

AcuraStem is seeking a research associate to support our iNeuroRx disease modeling platform. This platform will be employed for target discovery/validation, biomarker evaluation and the construction ...

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How much do disease modeling jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for disease modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What are typical daily responsibilities of a Disease Modeling professional?

Disease Modeling professionals typically spend their days developing and refining mathematical or computational models to simulate the spread and control of infectious diseases. This work often involves analyzing large datasets, running simulations, interpreting results, and generating reports or visualizations for stakeholders. Collaboration with epidemiologists, public health officials, and other scientists is common, as models need to be informed by real-world data and tailored to specific questions. Additionally, staying updated with the latest research and methodologies is essential for producing reliable and impactful models.

What are the key skills and qualifications needed to thrive in the Disease Modeling position, and why are they important?

To excel in Disease Modeling, a strong background in mathematics, statistics, epidemiology, and computational modeling is essential, typically supported by a relevant advanced degree such as an MSc or PhD. Familiarity with statistical software (such as R or Python), modeling platforms, and data visualization tools is commonly required. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly are important soft skills. These skills enable accurate analysis of disease dynamics, support public health decision-making, and facilitate effective collaboration with interdisciplinary teams.

What is a Disease Modeling job?

A Disease Modeling job involves using mathematical, statistical, and computational techniques to understand the spread, progression, and impact of diseases. Professionals in this field develop models to predict outbreaks, evaluate interventions, and inform public health decisions. They work with data from epidemiological studies, clinical trials, and lab research to simulate disease dynamics. Disease modelers collaborate with epidemiologists, policymakers, and healthcare organizations to improve disease prevention and control strategies.

More about Disease Modeling jobs
What cities are hiring for Disease Modeling jobs? Cities with the most Disease Modeling job openings:
What states have the most Disease Modeling jobs? States with the most job openings for Disease Modeling jobs include:
Infographic showing various Disease Modeling job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.
Pediatrics - Neurology NRI (Instructor)

Pediatrics - Neurology NRI (Instructor)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 16 days ago


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

50th of 534 rated colleges and universities


Job description

Job Title: Pediatrics - Neurology NRI (Instructor)
Division: Pediatrics
Work Arrangement:
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule:
Summary
We are seeking a highly motivated and innovative Gene Editing Scientist to join a multidisciplinary team focused on developing cutting-edge human models of disease and advancing translational applications in neurodevelopmental and neurodegenerative disorders. The successful candidate will lead and execute genome engineering strategies across a range of platforms, including human induced pluripotent stem cells (iPSCs), 2D human brain models, and organoids. This position offers a unique opportunity to contribute to transformative discoveries at the intersection of gene editing and human disease modeling.
Job Duties
  • Design, develop, and optimize genome editing strategies using CRISPR/Cas systems (e.g., CRISPR-Cas9, base editing, prime editing)
  • Generate and validate genetically modified cell lines, including iPSCs and differentiated neural cell types
  • Perform clonal selection, screening, and molecular validation (PCR, sequencing, off-target analysis)
  • Collaborate with cross-functional teams (genetics, bioinformatics, cell biology, electrophysiology) to integrate multi-omics and functional data
  • Maintain detailed experimental records and contribute to publications, grant applications, and presentations
  • Stay current with emerging genome editing technologies and implement innovative approaches
  • Ensure compliance with institutional biosafety and regulatory guidelines

Minimum Qualifications
  • Ph.D. in Molecular Biology, Genetics, Neuroscience, Bioengineering, or related
  • field
  • 3+ years of hands-on experience in genome editing, particularly CRISPR-based
  • approaches
  • Demonstrated expertise in mammalian cell culture, including stem cells (iPSCs
  • preferred)
  • Experience with cloning, vector design, and delivery systems (viral and non-viral)
  • Strong background in molecular biology techniques (PCR, qPCR, NGS, Western
  • blotting)
  • Experience with clonal isolation and validation of edited lines
  • Ability to design experiments independently and troubleshoot complex protocols
  • Strong organizational, analytical, and communication skills

Preferred Qualifications
  • Experience with advanced genome editing technologies (base editing, prime editing, epigenome editing)
  • Familiarity with iPSC-derived models including organoid systems or 3D cell culture models
  • Experience working with neurological or developmental disease models
  • Knowledge of off-target analysis and genome-wide screening approaches
  • Experience with automation/robotics platforms for cell engineering workflows
  • Bioinformatics skills related to sequence analysis

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25341

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