Research Engineer

Valley Recruitment AB

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

Valley Recruitment AB

Gnothis AB is seeking for a hands-on engineer who enjoys building experimental systems in a laboratory environment. The role combines microfluidics integration, instrument prototyping, and Python-based automation. 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. Since we have taken significant steps forward and now need to solve the remaining crucial challenges before commercialization; for the right person this is a unique opportunity to become a valuable member, to use your “think-outside-the box” mentality with aim to develop a new world-class technology platform! 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. The work is primarily on-site and very practical, involving both hardware integration and control software development. 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 first major task will be to design and integrate a microfluidics subsystem into our existing microscope prototype – to plan, test, order and add already commercially available components to a final prototype. This includes selecting and integrating a commercial microfluidics system (e.g. Elveflow or similar), designing a custom sample chip holder and fluid interface, integrating control into an existing Python control software, and establishing practical operation and cleaning procedures. The work is supported by a biochemistry team, but we are seeking for the right candidate who can make confident engineering decisions based on previous hands-on experiences connected to eg. microfluidics and laboratory automation. Responsibilities Mechanically integrate new devices into a prototype life-science instrument. The initial focus is on liquid sample handling, such as flow and temperature control. Develop Python control and automation software, starting from existing vendor SDKs. Design simple mechanical parts (CAD / 3D printing) Hands-on prototyping and debugging in the lab Method development for instrument performance evaluation and self-calibration. Over time the role will involve increasing focus on automation and device control software. 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 with a strong creative mindset and with strong previous experience building/developing scientific or laboratory instrumentation. This role suits someone who enjoys experimental prototyping in a small startup environment. The candidate should be comfortable collaborating in a multidisciplinary research environment consisting of engineering, software, biochemistry and nanofabrication experts. Relevant backgrounds and skills include: Master of Science and/or Ph.D. educational background – ideally combined with a relevant Life Science focus. Practical experience with microfluidics systems Python programming for hardware control Comfortable with hands-on lab engineering (CAD, electronics, prototyping) Microscopy / Optics / Imaging Lab automation / Liquid handling Mechatronics / Robotics A recent Ph.D. with strong hands-on instrument development experience could also be a good fit for this position. 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

STIFT THE STOCKHOLM ENVIRONMENT INSTITUTE, SEI

About the role The objective of this position is to strengthen the team’s capacity to develop and apply data-driven and systems-based approaches across water, coastal and marine domains – including federated data systems, decision-support tools and geospatial analysis – while contributing to project leadership and new funding opportunities. The researcher will work across the team’s three pillars and multiple projects, bringing methodological coherence to data-intensive work and reducing dependence on the team lead for analytical coordination. About the team The Water, Coasts and Ocean Team works across three thematic pillars: Resilient Infrastructures, One Water and Blue Economy. Across these pillars, the team addresses increasingly complex challenges involving data integration, cross-sectoral cooperation and digital decision-support – from freshwater systems and coastal resilience to offshore infrastructure and critical national services. Several funded projects now require integrated capacity in data (systems, modelling and governance). Recruiting a researcher with strong expertise in data systems is a strategic priority for delivery, proposal development and analytical leadership. Key responsibilities Lead and contribute to data systems work: integration, interoperability, security and application in decision-support tools across sectors Apply and promote FAIR data principles (Findability, Accessibility, Interoperability, Reusability) and related standards in project data management Develop and implement digital and data-driven approaches for infrastructure risk assessment, resilience planning and coastal and marine management Contribute to SAFEWIN’s development of federated learning approaches for cross-sectoral data cooperation in sensitive infrastructure contexts Contribute to KRAFT’s analysis of data management challenges and cascading risks across critical infrastructure systems Engage with Swedish and international stakeholders, including public agencies, research partners and practitioners Translate complex data and modelling outputs into policy-relevant insights, project reports, publications and stakeholder-facing materials Contribute to proposal development and fundraising for new projects Support project coordination and supervision of junior researchers where relevant What we are looking for We do not expect candidates to have expertise across all areas listed. We are particularly interested in candidates with strong foundations in either data systems and digital methods or the governance and application of digital tools, combined with a demonstrated ability to work across disciplinary and sectoral boundaries. Experience in or genuine interest in water, coastal, marine or critical infrastructure contexts is valued but not required. Essential PhD in data science, environmental informatics, computer science, infrastructure systems or a related field; candidates without a PhD must demonstrate equivalent independent research experience, including a track record of securing funding Strong experience with data integration, modelling, spatial analysis or the development of digital decision-support tools Experience eliciting user requirements and translating them into analytical methods, digital tools or decision-support products Experience working with data from complex, multi-sectoral or infrastructure-related contexts Working proficiency in at least one programming or scripting language (e.g. Python, R) for data analysis or tool development Ability to lead analytical work packages within interdisciplinary research projects Familiarity with data governance, metadata standards, interoperability frameworks and data architectures supporting the sharing and use of data across organizations or sectors Experience contributing to or leading research funding proposals, with a track record of securing funds at a scale commensurate with career stage Strong publication record or equivalent output in applied research settings Excellent written and oral communication skills in English Desirable Experience with federated learning, privacy-preserving computation or cross-sectoral data governance Familiarity with GIS and geospatial data tools Background in or demonstrable familiarity with critical infrastructure systems, offshore energy, marine monitoring or defence-adjacent data environments Working proficiency in Swedish Who you are This is a cross-cutting role open to candidates at mid- or senior-researcher level. Both levels are genuinely considered; the appointment will reflect the experience and profile of the successful candidate. The ideal candidate at either level combines technical depth in data systems with the ability to engage meaningfully with governance, policy and stakeholder dimensions – and to translate between these registers. The role sits at the technical–policy interface that characterizes SEI’s comparative advantage. We are not looking for a pure engineer or a pure policy analyst, but someone who understands data systems well enough to make credible technical contributions and is intellectually curious about the institutional, political and governance dimensions of how data is managed and shared in complex settings. Mid-level researcher – A mid-level researcher will have demonstrated the ability to work independently on analytical and data-intensive tasks within research projects. They will have some experience contributing to funding proposals and may have secured smaller grants or project components, though not necessarily in a leading role. They may have worked within teams or independently without formal management responsibilities, and will have an emerging publication record or equivalent demonstrated output in applied research settings. Senior researcher – A senior researcher will have a demonstrated track record of independently mobilizing research or innovation funding, including having led funding applications, not only participated in teams led by others. They will have successfully secured funds both for their own work and to support others, and will have held leadership positions with responsibility for more junior staff. They will have built a recognized area of work, evidenced through a sustained publication record, a portfolio of funded projects or equivalent standing in applied or policy research communities.