Administrative Support Staff

The Institute for Genomics and Evolutionary Medicine at Temple University is home to several “Highly Cited Researchers” for 2023. This distinction is awarded to researchers whose publications rank in the top 1% by citations, highlighting their significant impact on scientific advancements. We are hiring a bioinformatics/software development guru to contribute innovative methods and data analytics tools to foundational platforms that support the scientific community. This position is an opportunity to join a dynamic and agile multidisciplinary research team supporting national and international projects, focused on but not limited to human pathogens (viral, eukaryotic, and bacterial).

The applicant will focus on developing and maintaining bioinformatics/comparative genomic analysis platforms, which integrate various open-source data analysis tools and workflows, providing infrastructure for effective execution and innovative visualization techniques. Ideal candidates should be excited about building tools that scale to support large projects, proactive in identifying and correcting issues, self-motivated to meet deadlines, and an excellent communicator.

Essential Functions of Position:

• Develop and maintain the core analysis infrastructure (both HPC and cloud), ensuring it supports a wide range of data analysis tools and workflows.
• Implement and optimize new data analysis tools and workflows to support bioinformatics research.
• Enhance user interfaces and dashboards for improved data visualization and public reporting.
• Develop APIs for programmatic access to tools, workflows, and data sources, enabling integration with other systems.
• Ensure scalability and performance of the analysis platform, supporting large-scale data processing needs.
• Collaborate with cross-functional teams to ensure system usability and robustness.

Required Education and Experience

• Bachelor’s degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology/Statistics or related field.
• At least 3 years of directly related experience.
• An equivalent combination of education and experience may be considered.

Preferred

• Master's degree in Bioinformatics/Computer Science/Bioengineering/Computational Biology/Statistics or related field.
• Two or more years of job-related experience in academic/industrial applied research environment in biomedical data analysis.

Required Skills and Abilities

• Proven experience in software development with proficiency in JavaScript and Python.
• Proven experience with large and complex codebases, and modern development practices, including CI/CD, automated testing and deployment.
• Experience with API development and integration.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a team environment.
• Ability to effectively self-manage time and deliver on schedule for multiple projects.
• Effective communication with scientists and user communities, including but not limited to documentation and tutorial design.

Preferred Skills and Abilities

• Demonstrated ability to understand, implement, and evaluate computational algorithms, statistical analysis methods, and custom data analysis software.
• Demonstrated proficiency in software development in multiple programming languages, such as Python/JavaScript, and derivatives.
• Demonstrated proficiency in downloading/learning/applying software and database resources.
• Demonstrated proficiency with POSIX based systems, standard development tool chains, and scripting.
• Demonstrated ability in key genomic techniques, such as sequence analysis, curation, alignment, variant calling, alignment, expression analysis, gene annotation, transcriptomics, phylogenetics, and various biomedical databases (NCBI).
• Demonstrated proficiency with scientific computing and data visualization tools, and understanding of basic statistics.
• Demonstrated proficiency in software engineering processes, such as version control, backup, documentation, unit and integration testing, and validation.
• Demonstrated familiarity with large-scale data analysis and utilization of high-performance computing systems.
• Demonstrated familiarity with workflow processes and languages (e.g. NextFlow, Snakemake).
• Demonstrated familiarity with containerization technologies.

Interested applicants can view the official job posting at: https://temple.taleo.net/careersection/tu_ex_staff/jobdetail.ftl?job=24002744

Applications will be collected until the position is filled and may be submitted using the above link.

Compliance Statement:

In the performance of their functions as detailed in the position description employees have an obligation to avoid ethical, legal, financial and other conflicts of interest to ensure that their actions and outside activities do not conflict with their primary employment responsibilities at the institution. Employees are also expected to understand and be in compliance with applicable laws, University and employment policies and regulations, including NCAA regulations for areas and departments which their essential functions cause them to interact.