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Oliver Q.R.

Professional profile Core skills Other skills Experience Education Certificates Publications & teaching Me
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Professional profile

Molecular biologist (Ph.D.) with a passion for data science. I have 18+ years of experience in the biotech and biopharma sectors, where I have gained extensive expertise in data analysis, genetic engineering, and high-throughput screenings (which includes the analysis of relatively large datasets). With an analytical mindset and skilled in R and Python, I have hands-on experience in analysing complex data and turning it into clear insights.

Additionally, I have developed strong data visualisation and communication skills, tailoring my message to diverse audiences. Furthermore, I thrive working in multidisciplinary teams and dynamic environments, enjoying the challenge of breaking down complex problems, planning next steps, experimental design, and making data-driven decisions.

Currently on a career break to further develop my data analytics skills and spend quality time with my family, I am now looking for opportunities that align with my interest in using data to develop practical solutions for real-world problems. With a curious mind, I love learning new skills and taking on new challenges that help me grow both professionally and personally.

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Core skills

Data analysis & programming

  • R programming.
  • Python.
  • Data manipulation.
  • Data analysis.
  • Data visualisation.
  • Large dataset analysis.
  • MS Office.
  • Tableau.

Molecular biology

  • High-throughput screenings.
  • High-content screenings.
  • Genetic engineering.
  • Synthetic biology.
  • Metabolic engineering.
  • Fluorescence microscopy.
  • Microbiology.
  • Assay development.

Communication & teaching

  • Project presentation.
  • Storytelling.
  • Student training.
  • Teaching.

Automation

  • Liquid-handling robots.
  • Colony-picking robots.
  • HCS microscopy.

Project management

  • Project design.
  • Project planning.

Personnel management

  • Student supervision.
  • Lab technicians.
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Other skills

Molecular biology

  • Molecular cloning.
  • PCR.
  • CRISPR/Cas9.
  • siRNA.
  • DNA electrophoresis.
  • Protein electrophoresis.
  • Co-Immunoprecipitation.
  • FISH.

IT

  • Machine learning.
  • Git.
  • GitHub.
  • RStudio.
  • Jupyter/JupyterLab.
  • Spyder.
  • VS Code.
  • Anaconda.
  • Mac OS.
  • MS Windows.
  • SQL.
  • html.
  • CSS.
  • ChatGPT.
  • Cloud storage.

Model organisms

  • Yeast.
  • Mammalian cell lines.
  • Bacteria.
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Experience

2020 - 2023

Research Scientist

River Stone Biotech, Copenhagen (Denmark)
  • Data analysis.
  • Data manipulation.
  • Data communication.
  • Experimental design and workflows planning for lab technicians and student helpers.
  • Yeast-based screenings.
  • Library design.
  • Assay development.
  • Strain development.
2018 - 2020

Postdoctoral Researcher

Danish Cancer Society Research Center, Copenhagen (Denmark)
  • Data manipulation.
  • Data analysis.
  • Automated image analysis.
  • Large dataset analysis.
  • Data communication.
  • Mammalian cell line-based high-throughput screenings (HCS microscopy).
  • Library design.
  • Development and optimisation of new molecular biology techniques.
2018

Assistant Professor

University of Copenhagen, Copenhagen (Denmark)
  • Mechanistic characterisation of hits obtained in high-throughput screenigs.
  • Data analysis.
  • Data communication.
  • Teaching.
  • Student supervision, providing technical and scientific guidance.
2014 - 2017

Postdoctoral Researcher

University of Copenhagen, Copenhagen (Denmark)
  • Data manipulation.
  • Data analysis.
  • Image analysis.
  • Large dataset analysis.
  • Data communication.
  • Yeast-based high-throughput screenings (Fluorescence microscopy-based).
  • Mechanistic characterisation of hits obtained in HTS.
  • Teaching.
  • Student supervision, providing technical and scientific guidance.
2014

Research Associate

Research Unit HUNSC, Tenerife (Spain)
  • Phenotypic study of genome instability events in yeast.
  • Data analysis.
  • Image analysis.
  • Data communication.
2010 - 2014

Ph.D. Researcher

University of La Laguna, Tenerife (Spain)
  • Phenotypic study of genome instability events in yeast.
  • Mechanistic characterisation of anti-tumoral drugs using yeast as a model organism.
  • 3-month training to screen and perform data analysis of genomic instability events in yeasts at Duke University Medical Center (Durham, NC, USA).
  • Data manipulation.
  • Data analysis.
  • Image analysis.
  • Data communication.
2008 - 2010

Researcher

Research Unit HUNSC, Tenerife (Spain)
  • Yeast-based screenings to identify new factors affecting rDNA stability.
  • Phenotypic study of genome instability events in yeast.
  • Data manipulation.
  • Data analysis.
  • Image analysis.
  • Data communication.
2006 - 2008

Student Assistant

Research Unit HUNSC, Tenerife (Spain)
  • Phenotypic study of genome instability events in yeast.
  • Data analysis.
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Education

2013

Ph.D. in Biomedical Sciences

University of La Laguna, Tenerife (Spain)
  • Ph.D. thesis title: Characterisation of the entry into a new cell cycle with incomplete separation of sister chromatids in the yeast Saccharomyces cerevisiae.
2009

M.Sc. in Biotechnology

University of La Laguna, Tenerife (Spain)
2009

M.Sc. in Biomedicine

University of La Laguna, Tenerife (Spain)
  • Specialisation in Biomedical Research.
2007

B.Sc. (Lcdo.*) in Biology

University of La Laguna, Tenerife (Spain)
  • Specialisation in Cellular and Molecular Biology.
  • Specialisation in Health Biology

*Licenciado. It refers to a 5-year B.Sc.-like degree that used to exist in Spain until the launching of the European Higher Education Area.

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Certificates

2024

Data Science with Python - From Data Analyst to Data Scientist.

Itucation (Denmark)
2024

Design of Experiments Specialisation.

Coursera & Arizona State University.
2023

IBM Professional Data Science Certificate.

Coursera & IBM
2023

Machine Learning Specialisation.

Coursera & Stanford University.
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Publications & teaching

  • Student supervision.

    • Intern supervision at River Stone Biotech (2020-2023).
    • Intern supervision at Danish Cancer Society Research Center (2019).
    • M.Sc., B.Sc. and intern students supervision at University of Copenhagen (2015-2018).

  • Teaching.

    • 1 Ph.D. course (University of Copenhagen, 2017).
    • 5 M.Sc. courses (University of Copenhagen, 2015-2018).
    • 2 B.Sc. courses (University of Copenhagen, 2016 & 2018).
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Me

My former colleagues define me as an outgoing person with good sense of humour, flexible, and with great interpersonal skills. I am curious, with passion for learning new things, and always with an optimistic view of life.

In my spare time, I enjoy spending time with my family and friends, dancing (I love Cuban salsa), playing chess, going for a bike ride, running, swimming, and watching sports in general.

Languages spoken: