Software/informatics engineer, genomics instrument development

Job Location
3-5 Impasse Reille
75014 Paris
Competitive; depending on education and experience

Generous package, including the opportunity to participate in the company's stock warrant scheme.

Job Description

PicoSeq currently has an open position for a full-time software developer to work on various projects related to the development of our instrument systems for fingerprinting, sequencing, and epigenetic analysis of DNA and RNA. This is rare opportunity to play an important role in the development of a cutting-edge technology, and as part of a dynamic early-stage company. The position will be based in Paris, France.

We are seeking an exceptional individual who enjoys working in a highly collaborative and fast paced R&D environment to join our multidisciplinary team. The successful candidate will work with biologists, engineers, physicists and software engineers, both within PicoSeq and as part of collaborations with academic and OEM partners. He/she will play an important role in the commercialization of our innovative new technology for analysis of individual DNA and RNA molecules. The candidate should have demonstrated competence working both individually and in project teams.

The successful candidate will work on a wide range of software development projects related to the commercialization of our genomic analysis instrument platform. This could include code optimization for existing software, development of new data mining and modelling algorithms, and tools for analysing RNA and DNA maps, sequences, and epigenetic fingerprints (based on outputs from our prototype instruments). This work will involve the analysis of novel data types and the development of new analytical methods. In addition, it will be necessary to support other team members in the handling, analysis, and storage of the data produced by the system. The candidate will provide input for software architecture design, and develop robust and reliable software infrastructure components, documentation and tests that enable our team to rapidly create a diversity of software solutions.

 This role would suit candidates that have a solid background in both coding and applied statistics/data analysis and who would like to apply their experience and skills to the development of a novel and ground-breaking life sciences technology.


Minimum Qualifications & Experience

  • Degree in the field of software engineering:
    • Ideally at Master’s. level
    • Ideally with specialization in software development for scientific instrumentation platforms.
  • Expert in programming in C/C++/C#.
  • Expert in multithread programming (Qt, Boost or equivalent).
  • Ability to implement and document computational algorithms in common programming languages
  • Demonstrated expertise with software development practices – self-documenting code, source control, bug tracking.
  • Experience with general administrative activities associated with complex software module builds
  • Good working knowledge of genomic concepts, data types, and data analysis methods, and their representation in software systems
  • Good communication skills in English, both oral and written. In particular candidates should be capable of presenting technical information and data to non-experts in a clear and concise manner


Desirable Qualifications & Experience

  • Experience in development of programs/algorithms dealing with genomics data (ideally NGS related)
  • Preference given to candidates who have worked on development of complex software development projects (ideally life-sciences related) for a minimum of 2-3 years.
  • Solid knowledge and practical experience of using bioinformatic applications would be useful in this position (e.g. aligners, genome assemblers, visualization tools, and variant callers for analysis of data from 2nd or 3rd generation sequencing technologies).
  • Previous professional experience in:
    • Developing biotech/medical instrumentation in regulated environments
    • Instrumentation architecture, miniaturization, and optimization
    • Writing of technical documentation (e.g. to ISO standards)
  • A strong fundamental knowledge-base and problem solving skill-set across a range of other disciplines including optics, genomics or microfluidics.
  • Preference is shown to candidates who have proven that they are capable of developing software solutions that can take an instrument system from its prototype stage through to successful commercial launch.


Job responsibilities

  • Develop and optimize state of the art software tools to analyze genomic and epigenomic data
  • Support data analysis and bioinformatics pipeline development for PicoSeq’s innovative platform
  • Help develop the novel range of applications and capabilities that will be supported by future workflows/platforms
  • Work closely with the sequencing and instrumentation teams to ensure optimal development of the platform
  • Work closely with a small group of internal and external collaborators
  • Develop and perform automated and manual tests to ensure the quality of data processing and bioinformatic algorithms
  • Participate in formal and informal design and code reviews
  • Participate in group meetings, present work to group members
How to Apply
  • Please send a current C.V. and cover letter via email to Chas Andre at:
About Our Organization

PicoSeq is a dynamic young start-up based in Paris, France. We are commercializing a highly innovative platform for genetic and epigenetic analysis, originally developed in the lab of Dr. Vincent Croquette and his colleagues at the École Normale Supérieure (ENS) in Paris. The potential of this exciting technology has been recognized through the award of numerous prizes for innovation at both national and international levels, including most recently France’s prestigious Concours Mondial d’Innovation (Worldwide Innovation Competition) and a large grant from the EU’s Eurostars program.  The company is also backed by several investors who are highly regarded in the genetics world. Further information about PicoSeq can be found on our website (

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