Bioinformatics Apprenticeship

// Your mission

Eligo is building a pioneering platform technology that enables us to engineer phage-derived particles (Eligobiotics®) to package and deliver modular therapeutic DNA payloads to genetically (re)program a wide range of bacterial species in situ. With such a capability, Eligo is poised to lead the new generation of precision microbiome engineering companies, and address serious unmet medical needs in the field of inflammatory diseases, infectious diseases and oncology.

As an apprentice in the Bioinformatics team, you will help build, test, and maintain tools to assist researchers with automation, data management and visualization.

• You will collaborate with Eligo’s bioinformaticians and with scientists across the company to learn about the problems that they are working to solve and assist them to implement solutions.


• Your contributions will have a direct, tangible impact on the cutting-edge products being developed at Eligo as they progress from the benchtop to the clinic!


• This is a one year apprenticeship position with the exact start date depending on the student’s academic cycle, potentially followed by a full-time contract.

Tools & technologies we use & ♡: Python, Plotly/Dash, Pandas, Git, GNU/Linux, PostgreSQL, Docker, Conda, VS code, AWS, Google Cloud…

Bio-tools we use & ♡: Nextflow, Seqera, MultiQC, Benchling, DnaChisel, AlphaFold, Foldseek, MMseqs2, BioPython, BLAST, geNomad, HMMER, ETE…

// Your responsibilities

• Discuss with microbiologists and synthetic biologists to understand their needs, model efficient solutions for complex problems, and integrate their feedback into the development


• Building scripts and automations to streamline synthetic biology research tasks, ensuring any of Eligo’s scientists can use them in a fast and reliable way; with possible applications including:
  
  
  
  • DNA sequence annotation & optimization
  
  
  • Synthetic DNA constructs design, cloning and verification
  
  
  • PCR primers design
  
  
  • Comparison and lineage tracking of synthetic DNA sequences
  
  
  • See Edinburgh Genome Foundry’s toolset for other relevant examples
  
  
  
  


• Developing results visualization modules to enable Eligonauts to easily make data-driven decisions to guide their experiments (CFU counts, ddPCR, flow cytometry…)


• Building add-ons to Eligo’s LIMS (laboratory information management system – Benchling) to ensure biological entities and experimental results can easily be registered and used with the tools above

// Applicant profile

• Master’s student (in France) in Computer Science, Data Science, Bioinformatics, or related fields


• Strong interest in biology and drug development


• Familiarity with Python with exposure to SQL and/or JavaScript appreciated


• 3 years of coding experience in any language (including university courses and personal projects)


• Experience with data visualization


• Good English speaking & writing skills


• Ability to communicate across disciplines


• Excellent problem-solving skills and attention to detail


• Exquisitely organized, strong passion for thorough code documentation


• General tech-savviness and nerdiness 🙂


• Autonomy, initiative, adaptation, and team spirit

// Apprenticeship perks

• A team that is passionate, creative, driven, and at the top of their game


• A fast-paced, international, interdisciplinary, inspiring, and collaborative work environment


• A Swile card (8€) and numerous options for lunch: many restaurants within walking distance, fully-equipped kitchen and cafeteria on the Eligo premises, and a Foodles workplace canteen in the common building space


• An opportunity to apply cutting-edge technologies to solve real-world problems


• Office and lab easily accessible via public transit (metro lines 14 and 6, RER C, tram T3a, various bus lines)


• Secure parking for bikes on site


• Last but not least… the Parisian life! (Brand-new lab and office space in Paris with a rooftop terrace from which we can see the Eiffel Tower sparkle ✨; 6-minute walk from the river Seine)