Research Fellow in Data Science

Duties and responsibilities

• Collaborate with cross-disciplinary teams to implement the DIGIBIO project, partnering with the Novo Nordisk Foundation Centre for Biosustainability (DTU) and Tallinn Technical University.
• Utilize your expertise in data analysis to contribute to the creation of a research and technology platform for data-driven bioengineering solutions.
• Work on the generation and analysis of big data, incorporating automated genome engineering, phenotype screening, high-throughput analytics, and informatics.
• Contribute to the acceleration of translating scientific advancements into the manufacturing of next-generation bioproducts.
• Support the team in research data management (RDM) issues.
• Organize and conduct training sessions and workshops for researchers, focusing on data management and FAIR principles.
• Monitor metadata and data quality and quantities and act on possible issues/changes.
• Monitor and ensure compliance with international, national and local legislation, guidelines and rules (e.g. GDPR legislation, FAIR guidelines and minimum metadata standards).
• Maintain glossaries and develop domain-specific vocabularies, ontologies and metadata schema.
• Generate and maintain thorough documentation for all activities carried out, ensuring transparency and reproducibility in scientific analyses.
• Conduct scientific data analysis and apply appropriate statistical methods to derive meaningful insights.

Required qualifications
A PhD degree within natural and/or computer science.

Required experience

• At least one year of work experience in life science or computer science field.
• International-level research in the specialisation, the volume of which so far is equivalent to at least one doctoral thesis. 
• Knowledge of research data management, data quality, FAIR and related international and national policies and legislation.
• Experience with natural science data analysis.
• Interest in and knowledge of IT and software platforms to support RDM.
• Motivation for building skills within Benchling, OpenBisand other LIMS.
• Basic skills in programming languages like R, Python and/or SQL.

Required language skills
Very good command of English.

Personal qualities

• Excellent organisational and record keeping skills.
• Ability to work independently and in a team.
• Good communication skills and the desire to work in an international environment.

Why join us?

• Supportive academic environment where you can grow professionally and contribute to meaningful research.
• A wide range of self-improvement options for personal and professional development.
• Flexible working hours.
• Paid holiday 42 days a year.
• We pay the sickness benefit 100% already for days 2-8.

Read more about what we offer to our employees!

Number of vacancies
1

Documents required for applying

1. A letter of application to the Rector.
2. A curriculum vitae with salary request.
3. A list of research publications (if necessary, enclosing copies or offprints of more important publications).
4. A copy of a document (including its annexes) which shows the candidate to hold the required qualification (with authorized translation into Estonian, English or Russian if the credential is not in Estonian, English, Russian, Finnish, Swedish, French, Italian, Ukrainian and Belarussian languages). A candidate can be required to submit the original or a certified copy of the document (including its annexes) showing the candidate to hold the required qualification. If the candidate has acquired the higher education in question abroad, he or she may be required to submit an assessment issued by the Academic Recognition Information Centre (the Estonian ENIC/NARIC) of his or her qualification in respect of the qualification requirements for the position.
5. Other materials considered relevant by the candidate (a list of such materials must be included in the application or annexed to it).

Additional information

The DigiBio project will create a research and technology platform for data-driven disruptive bioengineering solutions to accelerate translation of science to manufacturing of next-generation bioproducts. The platform relies on the generation and analysis of big data through integration of automated genome engineering, phenotype screening, high-throughput analytics, and informatics. The Estonian Biofoundry is a member of the Global Biofoundry Alliance.

Job description, incl. requirements for academic staff.

Salary Rules.

More information about application documents.