Bioinformatician

Responsibilities

• Support the design, development, and implementation of surveillance tools to collect epidemiologic data for Viral Vaccine-Preventable Disease Programs
• Maintain epidemiological and laboratory data by using SAS as well as other data management software packages (e.g., R, REDCap, Microsoft Access, Excel, EpiInfo)
• Support the design, development, and implementation of surveillance tools to collect epidemiologic data
• Convert existing datasets from a diverse array of file formats (e.g., Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets
• Design, program, test, modify, enhance, maintain, and support new surveillance applications to collect epidemiological data
• Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL)
• Develop bioinformatics pipelines using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux-based high-performance computing environments
• Transform data sources into appropriate file formats for bioinformatics/epidemiological studies
• Conduct data mining and data curation from public sequence databases to support bioinformatics and molecular epidemiological analyses
• Develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data
• Submit monthly progress report, detailing achievements and progress on sub-tasks a-i.

Qualifications

• Necessary Skills and Knowledge: Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.
• Minimum Qualifications: Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
• Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
• Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
• Experience with selection/evaluation of computational approaches to perform analyses of biomedical data
• Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
• US Citizen (birth or naturalization)
• Preferred Qualifications: Experience with SAS, R, Python, SQL
• Surveillance pipeline development
• Dashboarding tools (Power BI, Tableau, R Shiny)
• Public health or CDC program support experience

Pay and Benefits

• At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience.
• As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.