Forskare, bioteknik

About the role At Navinci, we are passionate about understanding biology and disease at a deeper level. We develop technologies and applications that help researchers study proteins, signaling pathways, cellular biology, and molecular mechanisms directly in biological samples. Our work spans tissue and cell-based systems and increasingly combines information from multiple technologies and data types to generate richer biological insight. We collaborate with leading academic groups, biotech companies, and pharmaceutical partners worldwide to advance research and translational science. As we continue to grow, we are looking for 2–3 scientists with different backgrounds and expertise to join our R&D team. We are interested in people who are excited by science, enjoy solving complex problems, and want to contribute to the development of innovative research tools and technologies. Whether your background is in cell biology, tissue biology, spatial biology, immunology, biomarker research, assay development, translational science, omics technologies, or technology development, we would love to hear from you. What you will do Design, execute, optimize, and troubleshoot biological assays and laboratory experiments Analyze and interpret data, generate robust and reproducible results, and communicate clear conclusions Document experimental work according to quality standards and contribute to scientific decision-making Collaborate across R&D, Operations, and Commercial teams Support development of new applications, products, technologies, and improved ways of working Must-have qualifications MSc or PhD in Biotechnology, Molecular Biology, Cell Biology, Biochemistry, Immunology, Medical Science, or a related field Hands-on experience with immunofluorescence, immunohistochemistry (IHC), and other in situ staining and detection methods Experience working with both tissue samples and cell-based models Experience designing, executing, and troubleshooting biological experiments Strong skills in data analysis and presentation, experimental planning, and scientific documentation Fluent in English, written and spoken Experience in one or more of the following areas Cell culture and primary cell models RNA-based methods, transcriptomics, or other omics technologies Flow cytometry Multiplex imaging, microscopy, image analysis, or digital pathology Protein biomarker analysis and antibody-based assays Assay, application, or product development Translational research, biomarker discovery, or disease biology (e.g., oncology, immunology, neuroscience) Statistical analysis, automation, quality systems Industrial R&D, scientific publications, grant writing or patent-related activities Who you are Curious, innovative, and eager to solve scientific challenges Agile and adaptable, with the ability to work in a fast-moving environment Structured, organized, and committed to high scientific quality Hands-on, proactive, and solution-oriented Collaborative, supportive, and comfortable taking ownership of your work

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.