Job Openings

KEY RESPONSIBILITIES The tasks performed by a university researcher include conducting independent research, leading research projects, raising funding for research, as well as teaching and supervision. The university researcher uses one third of their working hours to contribute to teaching and supervision. The tasks are specified below: Research

• Conduct high-level research that uses or develops advanced light microscopy and image analysis.
• Collaborate actively with existing research groups within the Biocity Turku Campus and the broader academic community.
• Disseminate research through high-quality publications, conferences, and workshops.
• Contribute to a vibrant research environment by participating in seminars, collaborations, and mentoring.  Teaching Coordinate advanced-level courses (Master’s and PhD level) in:
• Advanced light microscopy methods
• Image analysis techniques
• Cytoskeletal research
• Organize and lead hands-on workshops in advanced microscopy and image analysis.
• Contribute to the development and coordination of the international Master’s Degree Programme in Biomedical Imaging (BIMA) that is jointly run with the University of Turku.
• Support the administrative and outreach activities related to the Master’s Degree Programme in Biomedical Imaging (BIMA).

The Team CZI and its Biohub Network supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. 

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

• Building an AI-based virtual cell model to predict and understand cellular behavior
• Developing novel imaging technologies to map, measure and model complex biological systems  
• Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases
• Harnessing the immune system for early detection, prevention, and treatment of disease

Our work in science is focused on doing fundamental research to better understand human biology and building the tools and technology that move science forward to prevent disease and get to cures faster. Join us in accelerating science.

The Opportunity 

At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation:

• Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations
• 10s of thousands of donor-matched DNA & RNA samples
• PB-scale static and dynamic imaging datasets
• TB-scale mass spectrometry datasets
• Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act.

After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. 

Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.

What You’ll Do

• Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, and analysis pipelines.
• Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance. 
• Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team.
• Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem.

What You’ll Bring

• 10+ years of experience with large scale biological imaging data.
• Demonstrated delivery of multiple large biological data products.
• Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis.
• Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks
• Strong fundamentals in statistical reasoning and machine learning.
• Experience with biological data analysis and QC best practices
• Excellent written and verbal communication skills.
• Enthusiasm to ramp up on technologies and learn new domains.
• Experience working in a multidisciplinary environment (engineering, product, AI Research).

The Nikon Imaging Centre (NIC) at King’s College London is seeking an experienced and visionary Facility Manager to lead its world-class microscopy core facility. This exciting role offers the chance to shape the future of the Centre — driving innovation, supporting cutting-edge biomedical research, and strengthening partnerships with Nikon and the wider imaging community. The Facility Manager will combine technical expertise in advanced light microscopy with strong leadership and operational management, overseeing state-of-the-art instrumentation, training researchers, and ensuring excellent service delivery. This is a unique opportunity to influence how next-generation imaging supports discovery at King’s.

Senior Postdoctoral Position in Single Molecule Microscopy Department of Molecular Immunology at the University of Freiburg (Germany) (https://lillemeier.biologie.uni-freiburg.de)   We are seeking a highly creative, collaborative, and motivated Senior Postdoctoral Researcher with significant experience in single molecule microscopy who is interested in visualizing immune responses in T cells.   This full-time senior postdoctoral position is available from 1st of January 2026 with the possibility of becoming permanent after 2 years. The salary is at E13 level by the TV-L agreement (Tarifvertrag für den öffentlichen Dienst der Länder / collective agreement for public employers). We welcome applicants from different areas, e.g. immunology, biology, physics and engineering, with considerable expertise in fluorescence single molecule microscopy using state-of-the-art equipment and a keen interest in immunology. The candidate is expected to conduct studies independently and supervise postdoctoral researchers and students on microscopy projects. This position requires a Ph.D. degree (or equivalent), and publications in peer-reviewed journals. We are an equal opportunity employer and encourage applications from candidates of all genders.  

The position is designed to study spatio-temporal mechanisms that control the assembly and signal transduction of the TCR and PD1 pathways at the T cell plasma membrane.   Our group is interested in the regulation of lymphocyte activity and functions during cancer and autoimmunity. Current research is focused on the activating T cell receptor (TCR) and inhibitory PD1 pathways in T cells. We apply multidisciplinary approaches that combine cutting-edge fluorescence microscopy with biophysics, biochemistry and molecular biology to elucidate how protein conformations, modifications and assembly at the plasma membrane control signal transduction. Specifically, we have discovered that the T cell signaling pathways are segregated into distinct plasma membrane nanodomains that concatenate upon T cell stimulation. We are studying how the signaling pathways utilize nanodomain distributions and dynamics, and how signals are exchanged between them. We aim to identify and modulate spatio-temporal mechanisms that are specific to signaling proteins and/or pathways. Our goal is to determine the potential of these mechanisms as future drug targets for immunotherapies.   To Apply: Please submit (1) a letter of motivation including a description of past research accomplishments and future research interests/goals (not more than two pages), (2) curriculum vitae (CV) with publication list and (3) at least three contact details for referees. Please, send your application in a single pdf file to: lillemeier@bio.uni-freiburg.de

The Opportunity

The position is focused on developing novel hardware technologies to extend the capabilities of cryogenic FIB-SEM to enable a deeper understanding of cell architecture and function at molecular resolutions. In this, the 3D cellular structure of unstained, vitrified cells is to be systematically imaged at the highest possible resolutions. The challenge is that contrast of non-lipid structures is very low in the SEM, and the research will focus on developing alternative contrast strategies using an in-tool AFM. This on-site position will be based in Redwood City, CA.

What You’ll Do:

• Develop improved methods and workflows for imaging and analyzing unstained biological samples within the FIB-SEM (with AFM)
• Explore novel approaches for successively imaging the surface of FIB-milled vitrified biological samples using the AFM or related scanning probe optical methods 
• Collaborate closely with platform and technical research teams at CZII
• Collaborate broadly with the scientific community
• Write papers and present findings at scientific conferences
• Mentor and train junior researchers in the lab
• Keep up-to-date with the latest research in the field and identify new areas of investigation.
• You will understand the challenges and opportunities for the Institute, and prioritize where to focus our efforts in biological research as well as how to best apply novel technology developments to provide the highest impact and results to the scientific community You have: 
• PhD in Chemistry, Physics, Engineering or related field
• A strong track record of research accomplishments in AFM imaging
• Excellent analytical skills 
• Ability to design and fabricate instrumentation
• Ability to work independently as well as part of a team
• Excellent written and verbal communication skills
• Outstanding attention to detail, accuracy, and procedures
• Must have the ability to multitask and work with technology developers in a highly collaborative environment

  Nice to have: 

• Experience with cryogenic imaging
• Python or other coding expertise
• FIB-SEM on biological samples
• Near-field optical imaging experience

  Compensation:

  The Redwood City, CA base pay range for this role is $108,000.00 - $148,500.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

I would like to share an exciting opportunity at Karolinska Institutet, where we are currently recruiting 20 Assistant Professors with a strong focus on scientific excellence. At the Department of Medicine, Huddinge (MedH), we are looking to recruit up to two Assistant Professors in the fields of molecular or translational medicine. We are seeking early-career researchers with a strong scientific drive and the ambition to grow in an international, collaborative environment. As part of MedH, new faculty members will benefit from:

• Strong academic mentorship and career support
• Access to state-of-the-art infrastructure and a modern preclinical animal facility
• Rich clinical cohorts and biobank resources
• A competitive salary and a generous startup package
• A vibrant research environment spanning stem cell biology, immunology, infectious diseases, hematology and cancer, gastroenterology and hepatology, cardiovascular research, nutrition, metabolism and diabetes, and aging
• A fantastic microscopy core facility! :) The position is open to international applicants and includes a generous funding package. Please help us spread the word! Application deadline: 2 September 2025 More information and application: Assistant Professor in molecular or translational medicine

The University of Wyoming Science Institute and the University of Wyoming Office of Research and Economic Development invites applications for the director of the new Center for Advanced Scientific Instrumentation (CASI) (https://www.uwyo.edu/science-initiative/casi) beginning in the Fall of 2025. Applicants with experience in quantitative imaging techniques from all fields of physical and life sciences are encouraged to apply. ESSENTIAL DUTIES AND RESPONSIBILITIES:

As an expert in light microscopy you will join a core facility team as a consultant for researchers at Novartis Basel. You will also play a key part in supporting scientific projects by advising users, coordinating resource sharing, and contributing to the maintenance and optimization of microscopy infrastructure.

Postdoctoral Fellow - Biomolecular Condensates, Protein Dynamics & GI Disease Weill Cornell Medicine - Division of Gastroenterology and Hepatology

The Platt Lab in the Division of Gastroenterology and Hepatology at Weill Cornell Medicine invites applications for a postdoctoral research position in molecular and cellular biology. We investigate how changes in protein mobility and biomolecular condensates contribute to human disease, with a particular focus on gastrointestinal pathophysiology.

The successful candidate will lead projects using advanced imaging techniques, including fluorescence recovery after photobleaching (FRAP) and single-particle tracking (SPT), to uncover how environmental stressors disrupt biomolecular condensates and protein dynamics. Our goal is to reveal disease mechanisms and identify tractable therapeutic targets. We are a newly established and growing lab that values scientific rigor, creativity, and collaboration.

Responsibilities

• Design and execute independent experiments using advanced imaging and molecular biology techniques
• Analyze protein mobility using quantitative imaging and computational tools
• Contribute to manuscript and grant writing
• Present research findings at internal seminars and external conferences
• Collaborate across disciplines to explore emerging models of disease pathogenesis

Qualifications

• PhD, MD/PhD, or equivalent degree in molecular biology, biophysics, systems biology, or a related field
• Strong background in imaging, microscopy, and cell biology
• Experience with image analysis software (e.g., ImageJ/FIJI, MATLAB, Python)
• Interest or experience in biomolecular condensates, protein dynamics, and/or redox biology
• Demonstrated ability to publish high-quality scientific work
• Creative, collaborative, and motivated to uncover fundamental disease mechanisms

Application Instructions To apply, please send the following to Dr. Jesse Platt at jep4025@med.cornell.edu:

• A one-page cover letter describing your research background and interests
• CV with a list of publications
• Contact information for 2–3 references The position is available immediately and will remain open until filled. Salary range: $61,008 – $74,088, based on experience and in accordance with WCM’s minimum stipend policy. Weill Cornell Medicine is an equal opportunity employer and encourages applications from candidates of diverse backgrounds. Learn more about our work: https://www.linkedin.com/in/jesse-platt-md-phd-a3a42621/

The Neuron Signaling Lab at NUS is seeking a motivated and skilled Research Fellow to join our interdisciplinary neuroscience team. We use advanced optical imaging and behavioral analysis to uncover how molecular pathways shape brain function, aiming to bridge molecular and systems neuroscience.

Our core platforms include: § 3D & 4D confocal fluorescence microscopy § 1P & 2P fluorescence microendoscopy § Fiber photometry & optogenetics § Genetically encoded molecular tools We focus on behaviors such as reward learning, fear learning and motor learning, with strong interest in primary cilia and nuclear signaling in the brain.

Position Summary: We seek a candidate with strong expertise in microscopy and computational image analysis to: 1. Support and enhance ongoing imaging projects in the lab 2. Develop AI-powered pipelines for analysis of microendoscopic calcium imaging, confocal fluorescence microscopy, and behavioral videos 3. Lead cross-modality image registration applications 4. Launch new projects that leverage our optical expertise to probe brain function

Preferred Qualifications & Expertise: § PhD in neuroscience, bioengineering, computational biology, or related field § At least one strong first-author publication in microscopy and/or image analysis is required § Strong background in optical imaging principles and microscopy (e.g., confocal, 2P, STED, or light sheet) § Demonstrated experience in image processing, quantitative analysis, and biological interpretation § Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking § Solid mathematical foundation for image analysis (e.g., affine transformations, convolutional filters, matrix and morphological operations) § Programming skills in Python, MATLAB, and/or experience with ImageJ, Napari, Imaris, TensorFlow, or PyTorch § Familiarity with in vivo imaging, optogenetics or spatial transcriptomics methods is a plus § Strong interest in bridging biological questions with quantitative approaches § Excellent problem-solving, collaborative, and communication skills

Environment & Opportunities: Our lab is part of a highly multidisciplinary research environment, with close collaborations in biochemistry, neural computation, and genomics. The successful candidate will be embedded in a vibrant scientific community and have access to a full suite of optical and behavioral neuroscience platforms. In addition to technical capability, we are looking for an individual excited by our novel multi-scale approach to neurobiology and eager to tackle complex, integrative questions.

Yale School of Medicine https://medicine.yale.edu/fib-sem/ The FIB-SEM Collaboration Core (F-SCC) at Yale School of Medicine is seeking a Senior Staff Scientist to join our pioneering team at the forefront of volume electron microscopy. The F-SCC leverages cutting-edge enhanced Focused Ion Beam Scanning Electron Microscopy (eFIB-SEM) technology to achieve large-volume imaging at nanometer isotropic resolution.

Position Summary: Under the supervision of the F-SCC Director, the Senior Staff Scientist will manage the image acquisition pipeline. Responsibilities include:

• Performing X-ray-guided FIB-SEM sample preparation
• Conducting enhanced FIB-SEM image acquisition
• Carrying out image registration, alignment, segmentation, and data analysis The successful candidate will be expected to work independently, multitask effectively, and perform experiments using advanced laboratory techniques, including enhanced FIB-SEM and X-ray micro-computed tomography (micro-CT). Collaboration and close communication with the supervisor, collaborators, and core members are essential.

Qualifications:

• Strong expertise in electron microscopy and related imaging technologies preferred
• Ability to manage multiple projects simultaneously and work independently
• Excellent teamwork, communication, and organizational skills

Consideration: please submit an application and cover letter describing how your previous research accomplishments and scientific interests fit with the scope of the research via this link.

The successful candidate will be an integral part of a team whose aim is to discover the next generation genetic therapies for a wide range of indications. The position requires enthusiasm, passion, attention to detail, and a desire to create new medicines for patients.