Molecular and Genomics Biomarker Team Lead

Postdoctoral position in Plant Evolutionary Genomics and Pangenomics Department of Plant Biology About the position A postdoctoral position in plant evolutionary genomics is available in the Yant Lab at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. The Yant Lab develops computational and genomic approaches to understand evolution, adaptation, genome dynamics, and whole-genome duplication across diverse plant systems (see https://www.yantlab.net/).  The project is funded through a Formas grant aimed at restoring European ash (Fraxinus excelsior) populations threatened by ash dieback. The successful candidate will contribute to developing the first Swedish-focused European ash pangenome, integrating long-read genome assemblies with population-scale sequencing to understand disease resistance and local adaptation across Europe. The project combines large-scale population genomics, graph-based pangenomics, structural variant discovery, genome-wide association studies, and evolutionary genomics using state-of-the-art long-read sequencing and computational genomic approaches. The successful candidate will work closely with collaborators at other SLU campuses, the Royal Botanic Gardens, Kew, and other European partners, contributing to both methodological developments and biological discovery. The project offers an opportunity to work at the forefront of plant evolutionary genomics while contributing directly to forest restoration and conservation. Your profile We are looking for a highly motivated candidate with a PhD in botany, evolutionary biology, genetics, genomics, bioinformatics, plant biology, or a related subject deemed equivalent by the employer. The applicant should have a strong publication record relative to career stage and demonstrated ability to conduct independent research. The ideal candidate will have experience in all of the following areas: -large scale population genomics, demographic inference, and evolutionary genomics -graph-based pangenomics and structural variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics across environmental gradients, including demographic inference and genotype–environment association analyses  Experience with long-read sequencing, structural variant analysis, graph-based genome analysis, and plant genomics is considered an advantage but is not required. The successful candidate is expected to be a collaborative team member who will drive the project with creativity, independence, and scientific curiosity. Excellent written and spoken English is required. Since postdoctoral appointments are career-development positions, priority will be given to candidates who received their doctoral degree within the past three years.  About us The Department of Plant Biology (www.slu.se/en/vbsg) offers a creative and stimulating international environment and is one of several departments that make up the ‘Uppsala BioCenter’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants with microorganisms and other environmental stresses, plant growth and development, biotechnology and metabolic engineering, regulation of gene expression, population genetics, genome analysis, and the development of breeding systems. Species in use are model organisms such as the entire Arabidopsis genus, Physcomitrella, Cochlearia, crops such as rapeseed, basket willow (Salix), potato, and cereals, and pathogens such as viruses, bacteria, and fungi/oomycetes. The department is responsible for basic and advanced courses in general and molecular genetics, cell biology, gene technology, plant physiology, plant breeding, plant biochemistry and biotechnology, and molecular interactions between plants and pathogens. In addition, the department contributes to various courses together with other departments. Uppsala, Sweden ́s fourth-biggest city, has two universities and with more than 50 000 students a vibrant student atmosphere. It is located in the Greater Stockholm area and has an excellent connection to the Stockholm-Arlanda international airport. For more information about the department visit: https://www.slu.se/en/departments/plant-biology-forest-genetics/  Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala. Form of employment: Temporary employment 24 months, with the possibility of extension. Scope: 100%. Start date: 1 November 2026.  Application: Please submit your application before deadline 31 August 2026. You can submit your application by clicking the button below.  Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.  Contact person: Levi Yant Professor levi.yant@slu.se   The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet.

Senior Scientist Model Systems About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity At Relation, we are building proprietary large-scale datasets to advance the prediction of disease-associated genes using cutting-edge functional genomics and machine learning approaches. We are offering an exciting opportunity for an experienced Senior Scientist to drive our automation capabilities in running large scale perturbation studies on mono- and co-culture systems of fibrotic disease. In this role, you will be at the forefront of scientific discovery and make a meaningful impact in the field of biology, working at the intersection of science and technology within a rapidly growing TechBio company. The successful candidate will contribute significantly to capture the cellular response using a multimodal readout strategy that includes transcriptomics, proteomics and molecular signatures of functional phenotype. You will partner closely with colleagues across Discovery and Technology, whilst still being provided the opportunity to expand your skills and advance your knowledge-base on assay development, screening and automation. Day to day, you will have the following key responsibilities: * Integrate human primary cell lines into robust monoculture and co-culture models that are capable of large batch production and compatible for high throughput readouts, with the necessary quality control (QC). * Characterise and optimise multiplexed imaging and biochemical assays that provide readouts for functional phenotyping. * Transition manually developed perturbation models into an automated arrayed screen. * Contribute to the development and implementation of new technologies, workflows, and operational infrastructure. * Carrying out data analysis and relevant quality assurance protocols. * Communicate outcomes of your work to team members and external parties in written or verbal reports. * Stay up to date of relevant scientific literature and incorporate new findings into research project planning and experiment design. * Proactive identification of potential project issues and communication of proposed solutions to the team. * Communicate closely with cross-functional colleagues across biology, machine learning and automation disciplines and assist with solving complex scientific challenges and accelerate programme delivery. Professionally, you will have * PhD with 5+ years experience and demonstrable knowledge in assay development and/or target validation. * Strong background in culturing of primary and immortalised cell lines as well as functional disease relevant endpoints with the aim of ensuring required reproducibility and sensitivity in those assays. * Hands-on experience in image capture and data interpretation using High content imaging with cell painting. * Scientific knowledge of fibrosis across various tissues. * Knowledge of CRISPR/Cas9 gene editing for modulating gene expression in 2D and 3D cell systems. * Prior experience running pathway-modifying perturbation screens. * Experience with automated laboratory systems. * Extensive knowledge in industry-standard large ‘omic dataset handling and recording keeping. * Excellent communication, influencing and interpersonal skills, with the ability to thrive in a collaborative, cross-functional, matrixed environment * High motivation, scientific rigor and be able to comfortably operate in a fast-paced, evolving biotech setting Personally, you * Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. * Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. * Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. * Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. * Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.