A |
General biology |
B |
Depth in at least one area of biology (e.g., evolutionary biology, genetics, molecular biology, biochemistry, anatomy, physiology). |
C |
Biological data generation technologies. |
D |
Details of the scientific discovery process and of the role of bioinformatics in it. |
E |
Statistical research methods in the context of molecular biology, genomics, medical, and population genetics research. |
F |
Bioinformatics tools and their usage. |
G |
The ability of a computer-based system, process, algorithm, component, or program to meet desired needs in scientific environments/problem. |
H |
Computing requirements appropriate to solve a given scientific problem (e.g., system, process, algorithm, component or program; define algorithmic time and space complexities and hardware resources required to solve a problem). |
I |
GUI/Web-based computing skills appropriate to the discipline (e.g., effectively use bioinformatics and analysis tools through web). |
J |
Command line and scripting based computing skills appropriate to the discipline. |
K |
Construction of software systems of varying complexity based on design and development principles. |
L |
Local and global impact of bioinformatics and genomics on individuals, organizations, and society. |
M |
Professional, ethical, legal, security, and social issues, and responsibilities of bioinformatics and genomic data in the workplace. |
N |
Effective communication of bioinformatics and genomics problem/issue/topics with a range of audiences, including, but not limited to, other bioinformatics professionals. |
O |
Effective teamwork to accomplish a common scientific goal. |
P |
Engage in continuing professional development in bioinformatics. |