Environment and background
Our focus at the Lawrence J. Ellison Institute for Transformative Medicine of USC is improving cancer outcomes by discovering optimal approaches to personalized therapy. Our vision is that a patient’s own metrics will determine their most effective treatment. They might include molecular tumor markers, the dynamics of intracellular processes, or the behavior of cells across diverse microenvironments. We investigate a broad range of biological systems, including cell culture, mouse models, and patient-derived tissues.
We are seeking a talented scientific software developer with a strong interest cancer biology and knowledge of statistical data analysis. The candidate will interact frequently with biological scientists and clinicians to understand their experiments, data, and goals. The successful applicant will be capable of R programming, manipulating data, and applying appropriate statistical analyses to experimental data. Data sets may include high-dimensional multi-omic data, time series from live cell microscopy, and complex clinical data from electronic medical records. The candidate must be willing to perform low-level data manipulations, including locating/downloading data from public resources, populating databases, and data reformatting.
1. Bachelor’s degree in a relevant discipline.
2. Proficiency with:
b. Common statistical tests (e.g. t-test, ANOVA)
c. Fixed and mixed effects models
d. Plotting of data using ggplot2
e. Microsoft Excel
f. At least one of the languages: Java, C/C++, Python
3. Detail oriented
4. Able to learn independently
5. Good task organization skills
Key success factors in the performance of this position include the ability to pursue multiple approaches to solve a problem, attentiveness, and a joy of learning.