Conducts research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.
This career is part of the Information Technology cluster Information Support and Services pathway.
A person in this career:
- Develops new software applications or customizes existing applications to meet specific scientific project needs.
- Communicates research results through conference presentations, scientific publications, or project reports.
- Creates novel computational approaches and analytical tools as required by research goals.
- Consults with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- Analyzes large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
- Keeps abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Develops data models and databases.
- Compiles data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
- Designs and applies bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.