PD Research Scholar - Machado Lab
Job Description
Posting Number
PG191410PDPosition Number
00104424Position Type
Post DocDepartment ID
196001 - Department of Population Health and PathobiologyDepartment
196001 - Department of Population Health and PathobiologyJob City & State
Raleigh, NCEssential Job Duties
Duties and Responsibilities: The project’s objective is to inform control strategies and help develop more effective control strategies for endemic viral diseases in swine populations in the U.S. by:
1) Analyzing the epidemiological and dispersal dynamics of circulating endemic viral disease at various levels (farm, barn, room, and pen) in swine farms.
2) Examining these dynamics concerning different vaccination protocols and biosecurity measures at farm, barn, room, and pen-levels.
3) Unraveling multi-level factors impacting the dispersal.
4) Identification of transmission routes of the spread of endemic swine disease at farm, barn, room, and pen levels to be used in African Swine Fever (ASF) simulation modeling.
The available data set includes animal, semen, and truck movement data at the farm level, weekly disease occurrence with genetic sequences, complete on-farm biosecurity, disease intervention, and more for more details of previous work and data available (). In summary, this work will unravel transmission, estimate epidemic parameters, identify spread determinants, and assess the impact of interventions. In addition, many potential research projects are available so that the research focus may be tailored to the interests and skills of the individual. There will also be opportunities to seek grant funding to develop related, independent research. Access to high-powered computing is available through Machado’s lab Lab website (https://machado-lab.github.io/)
Position terms: The initial appointment will be from 12 to 18 months, but three years of federal funding have already been secured. Salary is expected to be in the range of $50,000 to $62,000 and will be commensurate with the qualifications and experience of the individuals. Travel and health insurance are included. A starting date of January 2025 or earlier is preferred. Screening of applications will begin immediately.
Environment: The Machado Lab develops and deploys epidemiological methods that fully integrate disease evolution, animal movement, and spatial processes to estimate disease transmission and spread. Ultimately, we work in the development of new computational tools for both tracking spread and prescribing non-pharmaceutical intervention regimens. New members will work in a group with a strong background in epidemiology, disease spread modeling, evolutionary epidemiology, social networks, and mathematical modeling. The new member will benefit from the national and international collaboration networks that our lab has developed.
Other Work/Responsibilities
- Collect and organize data for research activities.
- Collaborate with the PI in generating and testing research hypotheses and data analysis, writing papers, grants, and reports, and preparing presentations and lectures.
- As needed, participate in laboratory meetings, seminars, graduate and undergraduate lectures, and conferences.
Work Schedule
TBDDepartment Required Skills
- Previous experience with multi-scale mathematical models will be considered highly.
- It is critical that the selected candidate have moderate to extensive experience in R or other open-source-related statistical software.
- Previous work related to spatial analysis and or network analysis.
- Practical experience with building spatially explicit models, particularly those that are also process-based and mechanistic model development.
- Evidence of original publications in the peer-reviewed literature.
- Good communication and experience in developing grant proposals and taking the lead in projects.
- Ability to work independently and in collaboration.
- The candidate will publish and present their work at conferences as part of the position.
Preferred Years Experience, Skills, Training, Education
The ideal candidate has a Ph.D. in a relevant quantitative discipline (computational biology, engineering, ecology, epidemiology, applied mathematics, physics, computer sciences, statistics, or other quantitative fields).
Required License or Certification
N/A
Valid NC Driver's License required?
NoCommercial Driver's License Required?
NoAnticipated Hiring Range
$50,000 - $62,000 commensurate with education & experienceJob Open Date
01/09/2025Quick Link
https://jobs.ncsu.edu/postings/213627AA/EEO
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
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