Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
Roles and Responsibilities- Prep and Process data through GATC platform based on customer or internal end user requirements.
- Implement primary and secondary analysis tools for GATC's assays.
- Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
- Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
- Engage with external collaborators on the evaluation of beta version products and analysis of novel data.
Role Requirements- Degree in computational biology, bioinformatics, computer science or similar.
- Experience analyzing complex multi-omic datasets, including human or single cell data.
- Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
- Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
- Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
- Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.
Role Preferences- Experience using or interfacing with machine learning algorithms.
- Experience analyzing and interpreting large-scale human or single cell datasets.
- Experience with professional software development methods and tools in a team environment.
- Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
- Experience working with collaborators, including lab scientists on multi-omic method development.
- Experience visualizing scientific datasets and results.
- Experience using cloud computing environments.
- Computational biology and bioinformatics innovation.
$80,000 - $90,000 a year
