"Data Scientist"

Job Description

The University of Alabama at Birmingham (UAB), Med - Pulmonary/Allergy/Critical Care, is seeking a Data Scientist who 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.

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. Identify limitations, or potential issues with datasets and data types that may impact performance from machine learning algorithms. Re-train models as needed to address new challenges, or novel goals. Aid investigators and stakeholders in the validation of results. Generate detailed reports and presentations. May mentor and train junior staff members.

Duties and Responsibilities

• Applies knowledge of data science, genetic epidemiology, biostatistics,
• AI/ML and programming to identify 'omic risk factors of disease.
• Designs, develops and implements software tools and analytical procedures supporting bioinformatics analysis.
• Provides computational support services such as study design, data management and data migration.
• Stays current with evolving multi-omics technologies and computational tools, introducing innovative methods where they can add value.
• Communicates key findings clearly through reports, visualizations, and presentations to technical and non-technical audiences.
• Mentors and train junior staff members.
• Perform other duties as assigned

Salary Range

$85,600 - $111,280

Qualifications

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. Work experience may NOT substitute for education requirement.

Preferred skills & Knowledge

• Masters and/ or PhD degree in data science, genetic epidemiology, biostatistics, computer science or statistical genetics
• Strong working knowledge of 'omic analyses.
• Experience in High Performance Computing Environment.
• Experience with analysis of complex data specifically whole genome sequence data via cloud computing, transcriptomics (single cell and spatial) and metabolomics data.
• Experience working in Linux-based, command-line environments.
• Proficient in scripting languages such as, R, Python, and shell.
• Knowledge of best practices of reproducible and scalable research such as version control (git) and environment managing systems (e.g.: conda, Docker, Singularity).
• Proficiency in the visualization of omics data.
• Ability to work as part of team.
• Excellent written and verbal communication skills.
• Familiarity with project management tools such as Asana.