Research Analyst, Modeling – One Health Trust
The One Health Trust seeks an energetic individual to join its U.S.-based research team. This is a full-time, fully remote position. The applicant must have US work authorization/be a citizen.
Your Role
The Research Analyst will work closely with the U.S. team of disease modelers, epidemiologists, and economists to provide research support for a CDC-funded project modeling the transmission of multidrug-resistant organisms in healthcare settings, as well as other projects as needed. Your responsibilities will include aiding in the development of mathematical and agent-based models of disease transmission, conducting literature reviews, data cleaning and analysis, and manuscript preparation. The role may also involve some grant and administrative support. The supervisor may assign other tasks as needed.
We seek applicants with backgrounds in global/public health, epidemiology, biostatistics, mathematics, molecular biology, computer science, natural sciences, economics, or other relevant fields to join our research teams. Ideal candidates will have knowledge of and experience in mathematical (i.e., ODE-type models) and agent-based modeling of disease transmission. Experience with fitting and/or calibrating disease models and parameter estimation is preferred. Exposure to disease forecasting and/or basic machine learning is a plus. Prior experience with publishing peer-reviewed publications is also a plus. While we seek individuals with substantive knowledge in infectious disease epidemiology, we are also open to reviewing candidates with a strong quantitative background who are motivated and passionate about learning more in this field.
Finally, this is a remote position, and the ideal candidate will be expected to work effectively independently. Occasional travel may be required for attending and presenting at in-person meetings and conferences.
Your Skills and Qualifications:
Essential:
BA/BS in global/public health, epidemiology, biostatistics, molecular biology, mathematics, computer science, natural sciences, economics, or other relevant fields.
1+ year of experience programming in Python or R.
1+ year of experience in quantitative data analysis.
1+ year of experience in disease modeling and model calibration/fitting.
Preferred:
MA/MS/MPH in global/public health, epidemiology, biostatistics, molecular biology, mathematics, computer science, natural sciences, economics, or other relevant fields.
Experience with an additional programming language (e.g., Python, R, C/C++, SQL, MATLAB, Stata, or Julia)
2+ year of experience in quantitative data analysis.
2+ years of experience in disease modeling and model calibration/fitting.
Experience with version control and GitHub.
Experience working in both frequentist and Bayesian frameworks.
Some exposure to basic machine learning and foundational concepts.
Some experience with or exposure to disease forecasting.
Demonstrated experience with infectious disease epidemiology.
Experience with preparing meaningful data figures and illustrations.
Demonstrated experience in scientific communication through published peer-reviewed publications and conference presentations.
How to Apply
Interested candidates should send the following materials (below) in PDF format to impalli@onehealthtrust.org. Please attach each item as an individual document. Please include “[YOUR NAME] - Research Analyst, Modeling (US)” in the email subject line. Incomplete applications will not be considered:
- Cover letter
- Curriculum vittate (C.V.)
- Writing sample (published or unpublished work; if published, a first-authored paper is preferred).
- Link to GitHub with coding samples (optional)
- Unofficial transcripts
- Three professional references we may contact
We are an Equal Opportunity Employer (EOE). Women and minorities are encouraged to apply.
Please do not contact our staff for updates. We will reach out to candidates who are selected for an interview.
- Type
- Other
- Institution
- One Health Trust
- City
- Remote
- Country
- USA
- Closing date
- November 21st, 2024
- Posted on
- August 30th, 2024 15:40
- Last updated
- November 12th, 2024 20:56
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