BioInformatics Engineer - Remote

Engineering · Lisbon, Lisbon
Department Engineering
Employment Type Full-Time
Minimum Experience Mid-level

In the last year at Loka, our remote team of engineers helped bring free Lyfts to patients in transportation deserts, deliver the world’s first smart implantable for cancer care, eliminate $1 billion in food waste, launch 6 projects in LokaLabs™ (our own incubator), accelerate 3 startups to acquisition, move 1 scrappy startup to unicorn status, and still enjoyed every other Friday off (yes, we really take the day off). 

We are using modern technologies to support an incredible variety of meaningful projects, while proving work/life balance isn’t a catchphrase, it’s our culture. Join our team, feed your need to grow and mentor, and ship projects you believe in with a team you’re proud to be a part of.


  • Understand business objectives and develop models to achieve them, along with metrics to track their progress.
  • Collect data, verify data quality, and/or ensure it via data cleaning
  • Driving the exploration and validation of novel drug targets and/or biomarkers
  • Liaise with drug discovery teams on experimental design and strategies for preclinical and clinical studies
  • Structuring internal and external projects, bridging the gap between engineering and medical/biology teams.
  • Providing expert advice in the domain of bioinformatics to colleagues and collaborators; helping colleagues with challenges related to bioinformatics software, data structures and formats and biological data repositories
  • Continuous improvement of procedures; evaluation, validation and implementation of new tools and methodologies
  • Documenting, reporting and communicating results to the teams.
  • Publishing, presenting, and discussing scientific results in international meetings, be a representative Loka towards an international expert audience.
  • Guide and collaborate in developing standardised analysis workflows for data storage, data management, data retrieval with queries, data visualization and biological data interpretation based on the biological questions


  • A PhD in bioinformatics/statistics/biostatistics or any other relevant life sciences discipline with demonstrated experience in computational approaches.
  • Minimum of 4 years of experience in the pharma/biotech industry.
  • Strong background in computational analysis, experienced in statistical analysis with good scripting and programming skills (e.g., shell, R, Python, java)
  • Advanced knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics, summarisation of data presentation and interpretation practices
  • Expert knowledge in -omics information resources and more advanced pathway / biological network analysis as well as cross-omics integrative analyses
  • Good knowledge of the pharmaceutical industry including understanding of clinical drug development process, data quality assurance, data-protection practices and associated documentation
  • Proficient in English.
  • Experience with Amazon Genomics CLI is a plus
  • Experience with DeepMind’s AlphaFold is a plus


  • Every Other Friday Off - 24 extra days off a year. Our team calls it a life changing benefit. We think you’ll agree.
  • 100% Remote-First - We want you to have the flexibility to work where you feel most comfortable and productive.
  • Explore Program - Spend 3 months living in Portugal, Colombia, or Macedonia – all paid for by Loka.
  • Relo Program - Permanently relocate you, your family, and your pet to one of our European headquarters. 
  • LokaLabs™ - Use moonshot technologies to solve overlooked societal challenges in our internal incubator.
  • Yearly Upskill Allowance - Feed your burning curiosity and never feel intellectually trapped again.
  • Winter Houses - Invite your friends or family to get away for the holidays, paid for by Loka.
  • Paid Vacation Days, Sick Days & Local Holidays
  • Mental Health Benefits - Premium subscriptions to support the mental health of every Lokal.

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    • Location
      Lisbon, Lisbon
    • Department
    • Employment Type
    • Minimum Experience