
Moleculent AB · Stockholm
Are you passionate about transforming complex spatial biology data into actionable insights? Do you thrive in a cross-functional environment bridging experiment...
Are you passionate about transforming complex spatial biology data into actionable insights? Do you thrive in a cross-functional environment bridging experimental and computational teams? Moleculent is looking for an experienced Computational Biology Scientist with Immunology knowledge to drive and evolve our Applications and Fee-for-Service (FFS) initiatives. Join us to contribute to cutting-edge technology that unveils new perspectives on human biology!
Moleculent is on an exciting mission to map cell communication at the molecular level in tissue, aiming to unlock radical new insights into human biology. This is a chance to join a focused and dedicated team with extensive experience in building successful life science companies and products.
This is a permanent position based in Solna, Stockholm, with the possibility to work remotely.
We welcome your application, but please note that interviews will be conducted in August!
As a Computational Biology Scientist, you will play a key role in driving data analysis workflows for customer and internal validation projects. You will take ownership of project design, biological interpretation, and stakeholder communication, working closely with wet-lab scientists, the Applications Team Lead, and R&D to ensure high-quality, reliable data insights.
Design and interpret analysis strategies to support application development and pilot studies.
Execute image preprocessing, cell segmentation, and spatial metrics extraction using established pipelines.
Compile and visualize results into standardized reports for internal use and customer delivery.
Collaborate on refining methods, troubleshooting, and prototyping new analysis metrics.
Ensure data traceability and compliance with Moleculent's data packaging standards.
To fit this role well, you should hold an MSc or PhD in computational biology, bioinformatics, image analysis, spatial omics, or a related field. It’s a strong advantage if you have done a postdoc in a relevant field. Fluency in both written and spoken English, along with strong computer skills, is essential. Experience in clearly and effectively presenting data—both in writing and in oral presentations—is a key requirement.
Proficiency in Python and spatial single-cell analysis, with the ability to design, execute, and interpret analysis workflows for complex datasets.
A solid understanding of immunology is important, as our data closely relates to immune cell populations, marker panels, and tissue-based immune profiling.
Experience working directly with customers—whether through pilot studies, fee-for-service delivery, or technical support—is highly valued in this role.
Experience working across R&D, product, and commercial functions is a plus.
Skilled in summarizing insights for cross-functional teams.
We believe that our understanding of the molecular basis of human biology, in health and disease will increase radically in the coming ten years. This will lead to a vast improvement in therapies, and diagnostics, and a new, fundamental understanding of our own biology.
Moleculent is on a mission to develop technology-enabled products that leverage new insights into the molecular foundation of human biology.
The Swedish Museum of Natural History is a government agency with a mandate to promote knowledge, research and interest in our world. It is a prominent research institution and Sweden's largest museum. For more than 200 years, the museum has been collecting specimens and data and conducting research on life on earth. The collections contain more than 11 million plants, animals, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. 1 job(s). WORK TASKS The Department of Bioinformatics and Genetics at the Swedish Museum of Natural History is offering a two-year Postdoc position focused on Floral Traits, Machine Learning and Macro-evolution. This project aims to investigate the evolution of flower size on oceanic islands by combining phylogenetic comparative methods with machine learning-based extraction of trait data from digitised botanical floras. The successful candidate will develop computational workflows to generate large-scale, standardised datasets of floral traits and use these to test hypotheses about the predictability and drivers of flower-size evolution in island systems. As a postdoc in this project, you will work with developing methods in ML, integrate macro-phylogenetic tools to understand floral trait evolution on islands. The preferred start date is 01-10-2026. QUALIFICATIONS Qualifications: • completed a PhD in plant systematics or a related field • Demonstrated expertise in phylogenetic comparative methods and macroevolutionary analyses. • Strong programming skills in R and experience analysing large, complex biological datasets. • Excellent proficiency in English, both spoken and written. (The research environment is international, therefore English is required. In addition, experience in the following areas will be considered: • Experience with plant biodiversity data, digitised floras, and/or trait databases. • Interest in natural language processing, large language models, or machine learning applied to biological data. • At least one publication in an international, peer-reviewed journal • At the final application date, no more than three years shall have passed since the doctoral degree was awarded, or since a foreign degree deemed equivalent to a doctoral degree was obtained. If there are special reasons, an earlier degree may also be considered meritorious. Special reasons include leave due to illness, parental leave, elected positions within trade unions, service within the national defence, or other similar circumstances, as well as clinical service or other assignments relevant to the subject area Personal competences • Analytical thinking, creativity and the capacity to imagine novel solutions and take initiative. • Ability to collaborate and to carry out research independently • Good communication skills, ability to keep an open mind and communicate your ideas. The selection of eligible candidates will be based on their potential to benefit from the training. The following criteria will be used to assess this potential: documented knowledge in a relevant research field, proficiency in written and spoken English, analytical thinking skills, ability to collaborate, as well as creativity, initiative, and independence. The evaluation will consider previous experience and academic performance, the quality of the degree project, references, relevant experience, interviews, and the candidates written motivation for applying. You have to have your own salary secured. Form of employment: Temporary employment. Duration:, commencement: 2026-10-01 To be considered for this position, you are required to have your own external funding for the project. To be considered for this position, you are required to have your own external funding for the project. Please include the following documents with your application: • CV summarizing your education, positions, and academic work, including scientific publications. • A Research plan (max. 4 pages), including: - Main objectives, background, methodology, impact, and future potential of the project. - Description of data-driven methods used and/or developed within the project. - Budget, time plan, project risks, and mitigation plan. • Proposal abstract (300 words) • Names and contact details of 2-3 references We advance our knowledge of the natural world, inspiring to better care of our planet. Our ambition is that the employees of The Swedish Museum of Natural History shall represent the diversity in Sweden and we welcome every applicant. We apply an individual, differentiated and objective salary-setting system in accordance with the collective agreements RALS and RALST-T. We have decided upon choices for marketing. Therefore we decline contact with sales agents, recruitment sites and similar.
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
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