The University of Alabama at Birmingham is looking to improve processes and gain valuable discoveries through data analysis and machine learning.
Requirements
- Uses SAS and R programs as well as custom software for genetic analysis.
- Applies basic, intermediate, and advanced statistical and/or statistical genetic techniques in the analysis and interpretation of data, including multi-omic data.
- Interfaces with the more biologically-driven multiple omic projects, including metabolomics and proteomics.
- Designs, troubleshoots, and implements clinical research database.
- Outstanding quantitative skills and a strong background in large epidemiologic and clinical trials biostatistical research.
- Data management and data analysis skills, as well as experience working with large data sets.
Responsibilities
- Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development and improvement of processes.
- Identifies limitations or potential issues with datasets and data types that may impact performance from machine learning algorithms.
- Re-trains models as needed to address new challenges or novel goals.
- Aids investigators and stakeholders in the validation of results.
- Generates detailed reports and presentations.
- Generates accurate and thorough documentation of all datasets and analytic pipeline.
- Executes quality control procedures for data and programs.
Other
- The ideal candidate is an MD or Ph.D. with a medical plus data science background and 2-3 years post terminal degree experience.
- Must have understanding of and experience with patient oriented research studies and data generated by studies of that nature.
- Actively collaborates with investigators to design analyses of study data for papers, grants, and presentations.
- Serves as scientific advisor or consultant to other trainees and junior faculty conducting studies in their specific scientific field of expertise.
- Doctorate degree in a related field OR Master's degree in a related field and two (2) years of related experience OR Bachelor's degree in related field and four (4) years of related experience required.
