Job Summary
This is a key position within the R&D Molecular Typing team. The successful candidate will have the opportunity to work with a broad team of lab scientists and software engineers to build cutting-edge technologies and develop innovative molecular diagnostics products for improving organ transplantation outcomes.
The successful candidate will assist in streamlining computational workflows for sequencing analysis and report generation. This role works in collaboration with research staff and cross-functional teams, requiring knowledge of bioinformatics, biostatistics, and molecular biology, as well as the ability to quickly grasp new disciplines.
Location: Telecommute
Job Type: Contract
Salary: $38 - 40 per hour
Work Hours: 8am to 5pm
Education: Bachelors
Responsibilities
- Maintain and optimize existing analysis workflow pipelines.
- Collect, clean, aggregate, and manage datasets from various laboratory and genomic sources.
- Collaborate with internal bioinformatics and data science teams to identify computational bottlenecks in existing workflows and assist in process efficiency where needed.
- Perform light scripting and programming work to support pipeline integration and data processing.
Qualifications
- Bachelor's or Master's degree in Computer Science, Bioinformatics, Biological Sciences, Biostatistics, or a related quantitative field.
- 2+ years of meaningful work experience in data science, bioinformatics, or genomic data analysis.
- Proficiency in programming and scripting with Python, R, C/C++, SQL, Shell/Bash, or other languages.
- Hands-on experience working in a Linux environment building, running, and maintaining Next-Generation Sequencing (NGS) bioinformatics analysis pipelines.
- Knowledge of common bioinformatics tools, sequence alignment algorithms, and public genomic databases.
- Experience with statistical analysis and data visualization of large, complex biological datasets.
- Understanding of basic biological concepts and molecular biology fundamentals.
- Strong communication skills and ability to interact regularly with organizational system hardware, software, infrastructure, and IT personnel.
Skills
- bioinformatics
- biostatistics
- molecular biology
- molecular diagnostics
- R&D
- organ transplantation
- Typing
- workflows