Bioinformatics Scientists

• 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, and proteomics data for clinical or basic research purposes.
• Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
• Develop data models and databases.
• Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics.
• Design and apply 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.
• Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, and clinical bioinformatics.
• Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
• Create or modify web-based bioinformatics tools.

Source: O*NET OnLine information for Bioinformatics Scientists.

• Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
• Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
• Speaking - Talking to others to convey information effectively.
• Active Listening - 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.
• Writing - Communicating effectively in writing as appropriate for the needs of the audience.
• Science - Using scientific rules and methods to solve problems.
• Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making.
• Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one.
• Mathematics - Using mathematics to solve problems.

Source: O*NET OnLine information for Bioinformatics Scientists.