Scientific Software Engineer - Data Analysis & Algorithms at Gnothis AB

Publiceringsdatum: 2026-04-01

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Jobbannons

Gnothis AB is seeking for a skilled Software Engineer who enjoys building experimental systems in a laboratory environment. This is a permanent position based at our HQ, located at the campus of Stockholm University (Stockholm, Sweden).

Gnothis, founded in 2015 and supported by highly innovative industrial professionals and technology developers, is on a mission to develop a new frontier for single molecule DNA sequencing; to break the mold on how sequencing is used as a clinical tool for the diagnosis of complex diseases. Gnothis technology integrates a wide range of cutting-edge sciences ranging from nanotechnology, photophysics, optics, surface chemistry, biochemistry and computational science.

Our instrumentation, software and analysis team currently consists of four engineers and we are now expanding the team as we scale development of the system.

We are seeking for an engineer with strong data analysis and scientific programming experience to develop our DNA sequencing data analysis pipeline. The role combines algorithm development, image analysis, and scientific data exploration, working closely with our instrumentation and biochemistry teams.

The work involves analyzing experimental data from our microscopy-based sequencing platform and developing the automated analysis pipeline that converts raw microscopy data into DNA sequencing results.

The position is part of a multidisciplinary team developing a prototype DNA sequencing instrument combining microscopy, microfluidics, nanofabrication and advanced data analysis.

Initial Project

The initial assignment will be to continuously analyze the latest experimental data from the lab in close collaboration with the biochemistry and instrument teams. This means developing new analysis algorithms, critically reviewing results together with the team, and driving experiment design to better address the research questions.

The work includes analyzing fluorescence microscopy data, developing algorithms for tasks such as peak detection and classification, and translating manual analysis workflows into automated pipelines using Python and Airflow. We are seeking for the right candidate who can make confident decisions based on previous experiences connected to laboratory environments (eg. development of diagnostic software tools and/or processing of fluorescence microscopy raw data).

Responsibilities

• Develop algorithms and analysis methods for microscopy-based sequencing data

• Implement automated analysis pipelines in Python and Airflow

• Perform exploratory analysis of experimental datasets and extract meaningful insights

• Collaborate closely with instrumentation and biochemistry teams to interpret results and improve experiments

• Develop tools for data visualization, evaluation and reporting

• Contribute to building a robust and scalable DNA sequencing analysis workflow.

Candidate Profile

For you to enjoy performing expected activities, and being a valuable member in an ambitious and innovative team; we think you are an engineer or scientist with strong experience in scientific programming and data analysis.

This role suits someone who enjoys working deeply with experimental datasets and extracting insight through algorithm development, statistical analysis and careful data interpretation.

The candidate should be comfortable working independently with complex datasets and driving the development of analysis methods in collaboration with a small multidisciplinary team.

Relevant backgrounds and skills include:

• Master of Science and/or Ph.D educational background – ideally combined with a relevant Life Science focus.

• Python programming for scientific computing

• Image analysis and signal processing

• Microscopy or fluorescence imaging data

• Statistics and experimental data analysis

• Scientific visualization and reporting

• DNA sequencing or genomics data

A PhD with strong experience in microscopy data, sequencing data, or similar experimental datasets is highly preferred.

Gnothis offer a creative environment focused on technology and product development, a competitive compensation package and plenty of room for self-development as the company expands. This is a permanent position (not consultant assignment).

If above sounds like an exciting opportunity and you would like to hear more, do not hesitate and submit your application and we will get back to you!

Gnothis AB on LinkedIn: https://www.linkedin.com/company/gnothis/posts/?feedView=all

For inquires please email us at: markus.dahl@valleyrecruitment.se