Conduct 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.
Skills
Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
Understanding written sentences and paragraphs in work-related documents.
Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
Talking to others to convey information effectively.
Required Knowledge
Knowledge of plant and animal organisms, their tissues, cells, functions, interdependencies, and interactions with each other and the environment.
Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
Knowledge of the structure and content of the English language including the meaning and spelling of words, and rules of composition and grammar.
Knowledge of the chemical composition, structure, and properties of substances and of the chemical processes and transformations that they undergo. This includes uses of chemicals and their interactions, danger signs, production techniques, and disposal methods.
Roles & Responsibilities
Develop new software applications or customize existing applications to meet specific scientific project needs.
Communicate research results through conference presentations, scientific publications, or project reports.
Create novel computational approaches and analytical tools as required by research goals.
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
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