computational biology
The interdisciplinary scientific field that focus on employing data analytics and theories to investigate biological systems obtained through experiments.
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Bioinformatics scientists analyse biological processes using computer programmes. They maintain or construct databases containing biological information. Bioinformatics scientists gather and analyse biological data and may also assist scientists in various fields, including in biotechnology and pharmaceutics. They perform scientific research and statistical analyses, and report on their findings. Bioinformatics scientists may also collect DNA samples, discover data patterns and conduct genetic research.
Competences and skills
84 ESCO relationsEssential knowledge 13 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
6 competencescomputational chemistry
The branch of chemistry that aims at addressing complex chemical problems through computer simulations.
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computer equipment
The offered computers, computer peripheral equipment and software products, their functionalities, properties and legal and regulatory requirements.
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database management systems
The tools for creating, updating and managing databases, such as Oracle, MySQL and Microsoft SQL Server.
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genomics
The field of study in relation to whole genomes of organisms, as well as their genetic or epigenetic sequence of information. It aims to provide knowledge about the downstream of biological products and the analysis of the structure and function of these sequences through employing recombinant DNA and bioinformatics approaches.
web programming
The programming paradigm that is based on combining markup (which adds context and structure to text) and other web programming code, such as AJAX, javascript and PHP, in order to carry out appropriate actions and visualise the content.
digital
Cross-sector
7 competencesbiology
Tissues, cells, and functions of plant and animal organisms and their interdependencies and interactions with each other and the environment.
green
computer engineering
Engineering discipline that combines computer science with electrical engineering to develop computer hardware and software. Computer engineering occupies itself with electronics, software design, and the integration of hardware and software.
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computer programming
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms (e.g. object oriented programming, functional programming) and of programming languages.
digCompdigital
laboratory techniques
Techniques applied in the different fields of natural science in order to obtain experimental data such as gravimetric analysis, gas chromatography, electronic or thermic methods.
life sciences
The study of the processes related to cells, molecules and living organisms.
scientific literature
The medium of informing the scientific community, including academic researchers, about the results of scientific research. It constitutes a permanent and cumulative collection of all the findings of scientific research in various fields and at any point in time.
statistics
The study of statistical theory, methods and practices such as collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments in order to forecast and plan work-related activities.
Essential skills and competences 43 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
2 competencesmanage intellectual property rights
Deal with the private legal rights that protect the products of the intellect from unlawful infringement.
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operate open source software
Operate Open Source software, knowing the main Open Source models, licensing schemes, and the coding practices commonly adopted in the production of Open Source software.
digitalresearch
Cross-sector
41 competencesanalyse scientific data
Collect and analyse scientific data resulting from research. Interpret these data according to certain standards and viewpoints in order to comment on it.
apply for research funding
Identify key relevant funding sources and prepare research grant application in order to obtain funds and grants. Write research proposals.
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apply research ethics and scientific integrity principles in research activities
Apply fundamental ethical principles and legislation to scientific research, including issues of research integrity. Perform, review, or report research avoiding misconducts such as fabrication, falsification, and plagiarism.
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apply scientific methods
Apply scientific methods and techniques to investigate phenomena, by acquiring new knowledge or correcting and integrating previous knowledge.
apply statistical analysis techniques
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
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assist scientific research
Assist engineers or scientists with conducting experiments, performing analysis, developing new products or processes, constructing theory, and quality control.
collect biological data
Collect biological specimens, record and summarise biological data for use in technical studies, developing environmental management plans and biological products.
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communicate with a non-scientific audience
Communicate about scientific findings to a non-scientific audience, including the general public. Tailor the communication of scientific concepts, debates, findings to the audience, using a variety of methods for different target groups, including visual presentations.
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conduct quantitative research
Execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.
conduct research across disciplines
Work and use research findings and data across disciplinary and/or functional boundaries.
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contact scientists
Listen, reply, and establish a fluid communication relationship with scientists in order to extrapolate their findings and information into a varied array of applications including business and industry.
demonstrate disciplinary expertise
Demonstrate deep knowledge and complex understanding of a specific research area, including responsible research, research ethics and scientific integrity principles, privacy and GDPR requirements, related to research activities within a specific discipline.
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develop professional network with researchers and scientists
Develop alliances, contacts or partnerships, and exchange information with others. Foster integrated and open collaborations where different stakeholders co-create shared value research and innovations. Develop your personal profile or brand and make yourself visible and available in face-to-face and online networking environments.
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disseminate results to the scientific community
Publicly disclose scientific results by any appropriate means, including conferences, workshops, colloquia and scientific publications.
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draft scientific or academic papers and technical documentation
Draft and edit scientific, academic or technical texts on different subjects.
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evaluate research activities
Review proposals, progress, impact and outcomes of peer researchers, including through open peer review.
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gather data
Extract exportable data from multiple sources.
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increase the impact of science on policy and society
Influence evidence-informed policy and decision making by providing scientific input to and maintaining professional relationships with policymakers and other stakeholders.
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integrate gender dimension in research
Take into account in the whole research process the biological characteristics and the evolving social and cultural features of women and men (gender).
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interact professionally in research and professional environments
Show consideration to others as well as collegiality. Listen, give and receive feedback and respond perceptively to others, also involving staff supervision and leadership in a professional setting.
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interpret current data
Analyse data gathered from sources such as market data, scientific papers, customer requirements and questionnaires which are current and up-to-date in order to assess development and innovation in areas of expertise.
maintain freelance database
Maintain a freelance database that offers extra support to your teams and is able to calculate negotiating costs.
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manage database
Apply database design schemes and models, define data dependencies, use query languages and database management systems (DBMS) to develop and manage databases.
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manage findable accessible interoperable and reusable data
Produce, describe, store, preserve and (re) use scientific data based on FAIR (Findable, Accessible, Interoperable, and Reusable) principles, making data as open as possible, and as closed as necessary.
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manage open publications
Be familiar with Open Publication strategies, with the use of information technology to support research, and with the development and management of CRIS (current research information systems) and institutional repositories. Provide licensing and copyright advice, use bibliometric indicators, and measure and report research impact.
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manage personal professional development
Take responsibility for lifelong learning and continuous professional development. Engage in learning to support and update professional competence. Identify priority areas for professional development based on reflection about own practice and through contact with peers and stakeholders. Pursue a cycle of self-improvement and develop credible career plans.
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manage research data
Produce and analyse scientific data originating from qualitative and quantitative research methods. Store and maintain the data in research databases. Support the re-use of scientific data and be familiar with open data management principles.
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mentor individuals
Mentor individuals by providing emotional support, sharing experiences and giving advice to the individual to help them in their personal development, as well as adapting the support to the specific needs of the individual and heeding their requests and expectations.
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perform data analysis
Collect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.
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perform project management
Manage and plan various resources, such as human resources, budget, deadline, results, and quality necessary for a specific project, and monitor the project's progress in order to achieve a specific goal within a set time and budget.
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perform scientific research
Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.
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present reports
Display results, statistics and conclusions to an audience in a transparent and straightforward way.
promote open innovation in research
Apply techniques, models, methods and strategies which contribute to the promotion of steps towards innovation through collaboration with people and organizations outside the organisation.
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promote the participation of citizens in scientific and research activities
Engage citizens in scientific and research activities and promote their contribution in terms of knowledge, time or resources invested.
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promote the transfer of knowledge
Deploy broad awareness of processes of knowledge valorisation aimed to maximise the two–way flow of technology, intellectual property, expertise and capability between the research base and industry or the public sector.
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publish academic research
Conduct academic research, in universities and research institutions, or on a personal account, publish it in books or academic journals with the aim of contributing to a field of expertise and achieving personal academic accreditation.
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speak different languages
Master foreign languages to be able to communicate in one or more foreign languages.
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synthesise information
Critically read, interpret, and summarise new and complex information from diverse sources.
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think abstractly
Demonstrate the ability to use concepts in order to make and understand generalisations, and relate or connect them to other items, events, or experiences.
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use databases
Use software tools for managing and organising data in a structured environment which consists of attributes, tables and relationships in order to query and modify the stored data.
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write scientific publications
Present the hypothesis, findings, and conclusions of your scientific research in your field of expertise in a professional publication.
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Optional knowledge 15 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
6 competencesdata quality assessment
The process of revealing data issues using quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.
digital
genetic engineering
Manipulation of the genetic material of an organism using methods that insert new DNA into or remove heritable material from the genome.
genetics
The study of heredity, genes and variations in living organisms. Genetic science seeks to understand the process of trait inheritance from parents to offspring and the structure and behaviour of genes in living beings.
proteomics
The study of proteomes (i.e., the complements of proteins within cells, tissues or organisms), and their interactions and behaviours, under specific conditions.
statistical modeling techniques
The approaches for employing statistical analysis to dataset within the data science field. It seeks to elaborate reality predictions through statistical models and explicit assumptions.
stem cells
The biological development of human embryonic stem cells, together with the ethical concerns related and the legal requirements involved.
Cross-sector
9 competencesbiometrics
The science that statistically analyses human characteristics such as retina, voice or DNA for identification purposes.
computer simulation
A programme run on a computer that represents dynamic responses of a system to explore a mathematical model behaviour, using a model of a real system, composed of mathematical equations.
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data science
The field of study that deals with big amount of data using AI techniques such as machine learning algorithms to predict patterns and obtain useful information to make business decisions
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mathematics
Mathematics is the study of topics such as quantity, structure, space, and change. It involves the identification of patterns and formulating new conjectures based on them. Mathematicians strive to prove the truth or falsity of these conjectures. There are many fields of mathematics, some of which are widely used for practical applications.
molecular biology
The interactions between the various systems of a cell, the interactions between the different types of genetic material and how these interactions are regulated.
multidisciplinary research
The research technique where a common issue is investigated using approaches from different disciplines with the aim of finding a comprehensive solution to it.
scientific computing
The interdisciplinary field between computer science, mathematics and engineering. It concerns the employment of technical approaches and theoretical frameworks, and the use of computers, to address issues in science and engineering.
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scientific modelling
Scientific activity consisting in selecting the relevant aspects of a situation and aiming to represent physical processes, empirical objects and phenomena to allow a better understanding, visualisation or quantification, and to enable simulation that shows how this particular subject would behave under given circumstances.
scientific research methodology
The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results.
Optional skills and competences 13 competences
Occupation specific
0 competencesNo competences in this bucket.
Sector-specific
4 competencesconduct genome research
Conduct research on matters relating to the genome, including gene expression, metabolic networks and nucleic acid or protein complexes.
develop scientific theories
Formulate scientific theories based on empirical observations, gathered data and theories of other scientists.
manage data collection systems
Develop and manage methods and strategies used to maximise data quality and statistical efficiency in the collection of data, in order to ensure the gathered data are optimised for further processing.
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plan research process
Outline the research methodologies and schedule in order to ensure that the research can be thoroughly and efficiently executed and that the objectives can be met in a timely manner.
Cross-sector
9 competencesapply blended learning
Be familiar with blended learning tools by combining traditional face-to-face and online learning, using digital tools, online technologies, and e-learning methods.
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develop scientific research protocols
Develop and record the procedural method used for a specific scientific experiment in order to enable its replication.
evaluate genetic data
Evaluate genetic data by applying statistical calculations and analysing the results.
gather experimental data
Collect data resulting from the application of scientific methods such as test methods, experimental design or measurements.
maintain laboratory equipment
Clean laboratory glassware and other equipment after use and it for damage or corrosion in order to ensure its proper functioning.
perform laboratory tests
Carry out tests in a laboratory to produce reliable and precise data to support scientific research and product testing.
teach in academic or vocational contexts
Instruct students in the theory and practice of academic or vocational subjects, transferring the content of own and others' research activities.
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write research proposals
Synthetise and write proposals aiming to solve research problems. Draft the proposal baseline and objectives, the estimated budget, risks and impact. Document the advances and new developments on the relevant subject and field of study.
write work-related reports
Compose work-related reports that support effective relationship management and a high standard of documentation and record keeping. Write and present results and conclusions in a clear and intelligible way so they are comprehensible to a non-expert audience.