BIOINFORMATICIAN III

Mission, Vision & Values

UAB serves students, patients, the community and the global need for discovery, knowledge dissemination, education, creativity and the application of groundbreaking solutions. We are a leader among comprehensive public urban research universities with academic medical centers. We expect all employees to adhere to our shared values of Integrity, Respect, Diversity and inclusiveness, Collaboration, Excellence and achievement, Stewardship, and Accountability. UAB’s Vision, Mission & Shared Values can be found here: https://www.uab.edu/plan/the-plan/mission-vision-shared-values/

General Responsibilities

• To participate in research activities involved in the analysis of Next Generation Sequencing data such with a focus on transcriptomics data (bulk, single-cell/nuclei, spatial transcriptomics) to the UAB Biological Data Science institutional core.
• To support research services such as study design, data management, data analysis, pipeline development and to aid in the generation of training guides and documentation.
• To remain informed with recent literature and other new developments, incorporating new techniques into existing data analysis protocols and pipelines in support of the institutional core’s mission of high quality, and reproducible computational biology research.

Key Duties & Responsibilities

Salary Range: $70,425 - $90,000

Bachelor's degree in Biological Sciences, Computer Science with interest in Biology/Genomics, or a related field required and six (6) years of related experience required.

Work experience may NOT substitute for education requirement.

Knowledge / Skills / Abilities

●       Knowledge of the biological sciences

●       Experience in computational biology analysis

●       Experience in Linux and using a command-line environment

●       Knowledge of 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

●       Experience in High Performance Computing environment is preferable

●       Experience in the analysis of single-cell and/or spatial transcriptomics is preferable

●       Ability to work as part of a team

●       Knowledge of theoretical and applied statistics, and molecular biology, as demonstrated through previous work or academic experience

●       Problem-solving skills

●       Attentive to detail

●       Organizational skills

●       Excellent written and verbal communication skills

An ideal candidate:

·        Will follow best practices described to ensure reproducible and scalable research and be proficient in the analysis of transcriptomics data

o   (e.g.: differential expression analysis, enrichment analysis, single-cell or nuclei data visualization and analysis, gene set annotation etc.).

·        Should also be familiar with managing virtual computational environments and be familiar with high performance computing clusters.

Disclaimer

Please Note: The duties and responsibilities described are not a comprehensive list and additional tasks may be assigned to the employee as necessitated by business demands. This job description does not constitute a contract of employment or otherwise limit UAB’s employment-at-will rights at any time. Employees are expected to comply with all UAB policies and procedures during their employment.