Temporary Research Associate
Listed on 2026-07-05
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Research/Development
Data Scientist, Biomedical Science, Biotechnology, Research Scientist
Temporary Research Associate
As a "Temp Research Associate" in the Sozzani Lab, your primary responsibilities will revolve around applying computational biology techniques to address key challenges in plant biology and agriculture. You will be tasked with developing and implementing novel algorithms and models to analyze complex biological data sets, such as genomic, physiological, environmental, and agronomic data. You will work within an interdisciplinary team to interpret results, generate actionable insights, and contribute to the advancement of plant science research.
This role presents a chance to utilize your proficiency in both molecular and computational biology to make substantial impacts within the domain of plant sciences. The ideal candidate will possess a strong foundation in machine learning, genomics, exploratory data analysis, computational biology, and molecular biology. Moreover, proficiency in programming languages and tools such as Python, R, MATLAB, and Julia, will be essential for success in this role.
Proficiency with High Performance Computing (HPC), CUDA, and Linux-based servers is a prerequisite.
Department Information
Job City & State
- Raleigh, NC
Department
- Plant and Microbial Biology
Position Information
Requirements and Preferences
Work Schedule
- Flexible - 10/hrs per week between Mon-Fri
Minimum Experience/Education
- Relevant Master's degree, or Relevant Bachelor's and 3 or more years of relevant experience, relevant independent experience and education
Department Required Skills
- Proficiency in machine learning techniques, including supervised, unsupervised, and self-supervised learning, deep learning, and statistical modeling, as applied to biological systems. Proficiency in dynamic modeling techniques such as ordinary or delay differential equation models of molecular-scale biological phenomena. Strong programming skills in Python, R, and Julia, with experience in data augmentation, visualization, and analysis. Familiarity with software tools and frameworks commonly used in bioinformatics and computational biology (e.g., PyTorch, Tensor Flow, SciML, ggplot2, scikit-learn, cufflinks, version control software such as Git).
Application of data science methodologies across diverse use cases. Understanding of plant biology and familiarity with relevant biological data types. Ability to collaborate effectively with interdisciplinary teams and communicate complex technical concepts to diverse audiences. Demonstrated problem-solving abilities and a track record of delivering high-quality research outcomes. Prior experience with standard molecular biology research techniques such as PCR, plasmid and primer design, bacterial cloning, Agrobacterium-mediated plant transformation, DNA and protein gel electrophoresis.
Recruitment
Recruitment Details
Anticipated Hiring Range - $25/hr
Recruitment Dates
Job Open Date - 07/02/2026
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