Python Job: Bioinformatician (MPL)

Description:

Project role

The candidate will join a team focused on statistical model/data analysis/infrastructure developments for proteomics/metaproteomics and collaboration with various scientific groups. This position provides the opportunity to implement and deliver bioinformatics tools for a wide range of applications.

Project responsibilities

• Develop high performance bioinformatics software solutions for proteomics
• Drive the testing and maintenance of the algorithms and software modules
• Collaborate with multiple bioinformatics, infrastructure and research teams

Education

Master’s degree or higher in a quantitative discipline such as Statistics, Biostatistics, Bioinformatics, Biotechnology, Computational Biology, Computer Science, or a related field.

Required skills

• Strong computational and analytical skills, including high level of proficiency with R programming language
• Proficiency with Python
• Experience in processing and integration of multi-omics data (proteomics, metabolomics, and genomics)
• Familiarity with UNIX and shared high-performance computing environments
• Excellent organizational skills with great attention to detail in coding practices
• Able to execute complex analyses in a timely manner and communicate results to a diverse group of scientists
• Team-oriented focus and have the ability to work independently.

Preferred skills and experience

• Experience with cloud computing is a plus.
• Experience with machine learning methods is a plus.
• Experience with Shiny is a plus.
• Prior experience with software engineering, testing, and documentation is a plus.

Job Type: Full-time

Salary: $50.00-$55.00 per hour

Schedule:

• 8 hour shift

Education:

• Bachelor's Degree (required)

Experience:

• IT: 8 years (required)
• Python: 5 years (preferred)
• R Programming: 5 years (preferred)
• Computational/ analytical skills: 5 years (preferred)
• Integration of multi-omics data: 3 years (preferred)
• Proteomics/ metabolomics/ genomics: 3 years (preferred)
• UNIX: 4 years (preferred)
• Cloud computing: 1 year (preferred)
• Machine learning: 1 year (preferred)
• Shiny: 1 year (preferred)
• Testing: 1 year (preferred)