This postdoctoral position will play an important role in a European Research Council (ERC) funded project. A key aim of this project is to develop new mechanistic insight in the interaction between biofilms and aggregates/particulates. The project relies heavily on advanced microscopy, particularly confocal scanning laser microscopy (CSLM). This is a five year research programme and is based in the UCD School of Chemical and Bioprocess Engineering.

NES Fircroft is recruiting a Senior Research Scientist to join a leading agricultural company dedicated to enhancing global food security. This role is based at our client's site in Bracknell on a 24-month contract. As a Senior Research Scientist, you will be part of the microscopy team within the Bioscience function in Crop Protection. You will conduct research on various projects related to structural studies or phenotyping changes from active ingredients.

Key Responsibilities:

• Provide proactive scientific and technical support for microscopy requests/tasks by performing studies using fluorescence or electron microscopy.
• Demonstrate proficiency with microscopy techniques (fluorescence and electron-based).
• Execute operational priorities as agreed with the Science Leader.
• Interpret and analyse data, presenting conclusions in detailed reports and presentations.
• Implement HSE actions to ensure operations meet defined standards

Qualifications:

• A BSc or MSc (preferred) or PhD in a relevant field related to microscopy and bioimaging.
• At least 1-2 years of laboratory-based experience.
• Proven experience in imaging plant or insect materials using optical and electron microscopy.

For more information on the role please contact Jade Stirk at jade.stirk@nesfircroft.com

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/

German BioImaging – Society for Microscopy and Image Analysis e.V. (GerBI) is the central network of the bioimaging community in Germany. We connect researchers, professionals, students and core facilities in the fields of microscopy, image data analysis and image data management in the life sciences. Our mission: enable scientific exchange, strengthen collaboration between academia and industry, and communicate the value of imaging science to the public.   We are looking for a dynamic and proactive Project Coordinator to join and strengthen our management office team. This role comes with high autonomy, diverse tasks, and the opportunity to shape and grow within the organization. Over time, this position could evolve to include broader leadership responsibilities. If you’re passionate about science, communication, and community building, enjoy both, strategic and hands-on work and value a flexible, remote, collaborative and mission-driven working environment - we’d love to hear from you!

Your Tasks

• Coordinate and foster exchange within the GerBI community
• Represent the society at national and international events
• Organize in-person and online events and training courses
• Prepare reports and communications in German and English
• Manage membership, budgeting, third-party funding and accounting
• Shape our website and boost our social media presence    

  What we’re looking for

• Doctorate in a natural science or engineering discipline - or equivalent experience if you’ve taken a different path or achieved something exceptional.
• Structured, self-driven, and communicative personality
• Strong organizational skills and digital fluency
• Excellent spoken and written German (>C1) and English
• Based in Germany (our team members work remotely from Düsseldorf, Wiesbaden, Heidelberg & Dresden)

This is a 50-100% position, fully remote, based in Germany. Application Instructions: Please apply via the GerBI application form: https://bit.ly/gerbi-jobs-202505. For questions, reach out to Janina Hanne via e-mail at janina.hanne@gerbi-gmb.de. Application Deadline: 30. June 2025 This position is initially for a 12-month contract, with the aim of extension. We look forward to hearing from you!

This PhD project will systematically explore the function of squamous cyst cells in the Drosophila testis and how their internal structure facilitates communication with neighbouring germ cells and coordinates tissue-wide responses leading to sperm production. The Drosophila testis is a powerful system, as its simple morphology is combined with sufficient complexity and cellular conservation. Stem cells and differentiating cell types are well-characterised and can be easily traced, while phenotypes can be studied in vivo. To this end, you will use state-of-the-art Drosophila genetic and advanced protein-interaction techniques as well as high-resolution light and electron microscopy. Our findings will impact researchers in stem cell & developmental biology, regenerative medicine, disease modelling and translational research in the longer-term, by targeting the altered signalling networks in squamous cell carcinomas and creating novel therapeutics to treat human disease. You will be part of a dynamic environment and vibrant PhD community at Medway School of Pharmacy and the Universities of Kent and Greenwich at Medway Campus. You will have access to fully operational fly and molecular lab, shared microscopy and proteomic facilities, and will work alongside our world-renowned collaborators with complementing expertise.

For information about the project contact Dr Fani Papagiannouli: f.papagiannouli-227@kent.ac.uk

We are looking for a Research Software Engineer focused on standards for structured metadata and standardization to kick start the next phase of our development. If you are passionate about open science and want to contribute to creating shareable, accessible, and open resources, this is the role for you. Your first mission will be to help define, implement, and promote metadata specifications for OME-Zarr, a Next-Generation File Format (NGFF) supporting scalable, cloud-based, multi-modal bioimaging data. As our collaborations expand, your work will shape how imaging metadata is described, validated, and reused across the global research community.

We are seeking a junior-to-mid-level web developer to help create engaging prototypes, apps, and visualizations that demonstrate the power of OME-Zarr—a cutting-edge, cloud-ready format for bioimaging data. You’ll work alongside a senior software developer and a wider team of international collaborators, with lots of room to experiment and explore creative ways of communicating with the imaging community.

The Max Planck Institute of Biophysics is a leading international research institute that uses and develops biophysical, biochemical and computational methods to investigate the structure, dynamics and function of cellular systems at the molecular scale. It has about 270 employees and guests from more than 35 countries, and is located on the Campus Riedberg in Frankfurt am Main. The Imaging facility provides for the institute – as well as for the neighboring MPI for Brain Research – with expertise and equipment for all modern types of microscopy. In addition to supporting ongoing scientific projects we also develop, customize and establish new setups, methods and protocols, continually pushing the experimental boundaries. More information about our work and the wide range of microscopes in the facility can be found online. For our team we are looking for an 

Engineer or Technician for the Imaging Facility (m/f/d)

This is a full-time position, starting as soon as possible and initially limited to two years and will be paid according to the TVöD (German public service) salary scale. Social benefits correspond to those of the public service.

Your responsibilities

• Support of research microscopes, including maintenance, alignment, quality control, trouble shooting and cleaning
• Supporting scientists in their work on the microscopes, in particular regarding optimization of sample preparation and microscope configuration for superresolution microscopy
• Theoretical and practical training of researchers
• Support in the selection, purchase and installation of new microscopes and other optical devices

  Your profile

• Bachelor’s degree in engineering, physics or related subject or professional training as technician (PTA/BTA/MTA)
• Knowledge about and hands-on experience in working with light microscopes
• Basic knowledge about cell biology
• High level of motivation and independence combined with excellent organizational and teamwork skills
• Fluent in English and German

  The following additional qualifications are welcome

• Experience in working with advanced imaging systems, in particular superresolution microscopes
• Experience in characterizing optical systems and microscopes as well as carrying out quality control on microscopes
• Experience with data analysis (in particular image analysis) in a programming language (ideally Python)
• Experience with image processing software (e.g. ImageJ, Imaris, Arivis, Amira)
• Experience with research in the fields of biophysics or biology
• Experience of working in an imaging facility
• Knowledge of electronics, e.g. for device control

  Our offer

• A position with responsibility, independence and varied tasks
• A highly interactive atmosphere and support in an international and cooperative team
• Flexible working hours
• Company pension scheme
• Family services (baby and children's rooms at the institute, on-campus daycare center)
• Health management (e.g., fitness courses)
• Cafeteria and bistro in the institute
• Good public transport connections and a subsidy for the Germany Jobticket

  Your application

  The application should include a cover letter detailing your motivation and qualifications for the position, a CV, contact details for at least one reference, as well as transcripts. Please apply online by June 16th 2025. Applications received after this date will only be considered if the position cannot be filled otherwise. Candidates with international experience are strongly encouraged to apply. The working language within the group is English. The Max Planck Society strives for gender equality and diversity. We are also committed to increasing the number of individuals with disabilities in our workforce. Therefore, applicants of all backgrounds and identities are welcome. Apply now

Max Planck Institute of Biophysics Max-von-Laue-Str. 3 60438 Frankfurt am Main www.biophys.mpg.de

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.

The postholder will be working with the team at the Advanced Light Microscopy Unit (ALMU) to train, manage and support the imaging needs of ALMU’s research community. The postholder will be responsible for the day-to-day maintenance and quality control of system performance, troubleshooting, and enhancing optical imaging systems, including widefield, confocal, multiphoton, super-resolution, and other advanced microscopy platforms. The successful candidate will design and implement imaging solutions, optimize data acquisition workflows, and develop optical techniques tailored to specific experimental needs. She/he will provide training and technical guidance to researchers on microscopy techniques and best practices, teach at courses and workshops, and occasionally collaborate in research projects. Report and document equipment issues and initiate repairs using ALMU’s RT system. Ensure that all users adhere to ALMU and CRG policies and procedures. Interact with requests and bookings through ALMU’s booking system. Order with CRG’s purchasing system. Prepare standard samples and join the team in maintaining the wet lab area.  

ALMU has over 200 users from CRG and beyond, mainly from the Barcelona area and nearby cities. As such, the role will involve addressing research questions from a broad field, ranging from cell biology, cancer biology, marine biology, plant biology, neuroscience, biophysics and cellular biomechanics. The postholder will be expected to operate a broad spectrum of instrumentation at ALMU covering technical capabilities for live-cell imaging, 2-photon, spectral imaging, TIRF, FRET, FLIM, photomanipulation and FCS, as well as super-resolution technologies such as airyscan, STED, STED/FLIM and STORM/dSTORM, bioimage processing, analysis and data visualization. More information about instrumentation at ALMU here.

About the job/team A collaboration between EMBL Rome, EMBL Hamburg and EMBL Heidelberg has been awarded funding from CZI to link the detailed cellular morphology of a tissue with its repertoire of macromolecules: High Throughput X-ray Tomography to Target Transcriptomics (HiTT2T). The Light Imaging Facility at EMBL Rome is developing spatial-omics technologies that permit multiplex RNA detection in thin tissue sections. Separately, EMBL Hamburg has recently established HiTT (High Throughput Tomography) – an X-ray imaging workflow which offers a fast and high-throughput approach to 3D structural imaging and virtual histology characterisation of entire tissue samples within minutes. The ability to target the 2D-omics data production based on the 3D X-ray data has the potential to revolutionise our understanding of disease. With this proposal, we will move beyond the current state-of-the-art of the methodologies and go to high throughput volumetric tissue analysis and transcriptomics via the development of HiTT2T - High Throughput Tomography to Targeted Transcriptomics. Using the information obtained via HiTT2T and the power of computational analysis presents the possibility of predicting and/or preventing disease with a greater degree of accuracy in the future. As part of this project there is an opportunity for a 3 year postdoctoral position at EMBL Rome to develop technology and methods in the area of spatial transcriptomics. The successful candidate will work closely with the EMBL Hamburg teams to optimize sample preparation for X-ray imaging as well as develop protocols for 3D imaging-based transcriptomics. In addition the successful candidate will work closely with the computational team at EMBL Heidelberg in order to ensure that maximum value is extracted from the 3D X-ray data.

Your role The fellow is expected to develop tissue processing methods for imaging-based spatial -omics. The position has a strong focus on wet-lab work and experimental protocol development to improve tissue processing methods for -omics. The fellow will work within the Light Imaging Facility at EMBL Rome. The fellow will apply developed methodology towards biological questions in collaboration. As a technology development position the fellow could then transit towards developing research service infrastructure for other institutions, create a start-up with generated IP or have a leading role in industry.

You have:

• PhD in Biology, Engineering, Chemistry or related subjects.
• Solid knowledge in molecular biology, in particular oligo design for RNA or DNA detection
• Track record in tissue or whole-organ/organism sample preparation methods for fluorescence microscopy such as IF and RNA/DNA detection.
• Experience in protocol optimization
• General knowledge in microscopy and image analysis
• Excellent manual dexterity and organizational skills.
• Pro-active attitude and hands-on approach to problem solving.
• Excellent communication, teamwork and interpersonal skills with highest ethical standards.
• Fluency in written and spoken English. You may have:
• Experience in method development
• Experience in whole organ/organism clearing techniques and/or expansion microscopy
• Exposure to fluidics and/or microscopy automation
• Previous experience performing multiplex immune-fluorescence or spatial transcriptomics.
• Knowledge in computer vision and/or programming language such as Python, R or Matlab

For more information, please contact Alvaro Crevenna \alvaro.crevenna@embl.it Please apply with a CV and a cover letter

We are looking for an Imaging Scientist with expertise in SMLM, experience in building bespoke microscope systems — or excited to start — familiar with Python, and has a passion for optical microscopy, and a collaborative mindset to support the research community in a core facility environment. 

The subject covers the development and application of innovative methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and light-sheet microscopy, within various disciplines like biology and medicine.

Duties

The duties include responsibility for the national research infrastructure NMI (National Microscopy Infrastructure) and the research infrastructure ALM (Advanced Light Microscopy) at SciLifeLab, at 50%. The senior lecturer is expected to participate in the development of existing courses at the undergraduate, advanced, and doctoral levels within the unit for biophysics. Supervision of bachelor's and master's theses, as well as doctoral supervision, is included. The research should focus on method development within the field. The research must ensure that the research infrastructure, the national infrastructure, and teaching stay aligned with the development within the field. The senior lecturer is expected to be able to teach in Swedish within three years, and if necessary, a language plan will be created in connection with the appointment as support.

The Institute of Molecular Biotechnology in Vienna is looking for a Data Scientist in Image Analysis to build a knowledge hub for bioimage processing and analysis. The position is associated with the BioOptics Department and is meant to coordinate image analysis across research groups, including embedded bioinformaticians.

Thorlabs is pleased to play a role in advancing science through the components, instruments, and systems we design and manufacture. We believe that science and innovation have great potential to improve the world around us and are committed to advancing photonics (i.e., light-based) technologies that positively impact our customers, employees, and communities. Via educational outreach and more sustainable business practices, we continuously invest in a brighter future. We recognize that each of our employees is a unique individual with the ability to contribute to our success and seek to find great people who will thrive in our fun, fast-paced culture. Purpose of the Position The Life Science Applications Specialist I is responsible for the training and support of customers on imaging systems, including but not limited to confocal and multiphoton microscopes. An in-depth knowledge of light microscopy, laser scanning microscopy and their biomedical applications is essential. The Applications Specialist I will provide pre- and post-sales support including system troubleshooting, applications development, and customer training during installation. The position will also provide technical, and applications support at tradeshows, courses, and demonstrations. Although the location of the position is in Sterling, VA, from time to time it may be required to undertake duties at other Thorlabs locations. Essential Job Functions include the following, but are not limited to:

• Provides training on Imaging Systems products over the telephone and in person.
• Assists other Tech Support teams with VA product information
• Ensures a high level of customer satisfaction through timely resolution of issues.
• Assists and support installations and upgrades of systems in the field.
• Interfaces with sales and engineering teams within the VA Business Unit
• Assist in the development of application targeted marketing collateral
• Updates CRM (Dynamics) to track all customer interactions to manage cases and increase knowledge base
• Uses ERP system for product information and component level understanding
• Supports and assists with customer demos
• Attends Tradeshows and courses as a Thorlabs representative The Company retains the right to change or assign other duties to this position.

  Requirements

  Experience: Minimum of 1-2 years in a technical support role or 2 years relevant lab experience Education: BS, MS, or Ph.D. in Engineering (Biomedical, Mechanical, Electrical), Neuroscience, Biomedical Science, Biology, Chemistry, Biophotonics, Biophysics or Physics. Graduate degree preferred Specialized Knowledge and Skills: Experience using laser scanning microscopes. Working knowledge for building laser scanning microscope system. Hands on laboratory experience with microscopy imaging protocols. In-vivo imaging, electrophysiology or tissue engineering a plus. In-depth knowledge of light microscopy and digital imaging including, but not limited to, fluorescence microscopy, confocal microscopy, and nonlinear microscopy. Knowledge of biomedical imaging protocols used in advanced research Understanding of optical principles including lenses, filters, mirrors, fiber optics, and lasers (CW and Ultrafast). Understanding of biological systems. Experience providing technical support and education on advanced imaging equipment and scientific applications Strong analytical skills. Excellent written, verbal, organizational and interpersonal skills. Other: Must be willing to travel 40% domestically and internationally. Thorlabs values its diverse environment and is proud to be an Equal Employment Opportunity/Affirmative Action employer. All qualified individuals will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law

  Benefits

  Thorlabs offers a complete benefits package that includes medical, dental and vision insurance, company paid life insurance, a generous PTO package, a 401(k) plan, and tuition reimbursement just to name a few.

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.

Van Andel Institute (VAI), is seeking to hire an Image Analyst (Core Bioinformatician) within our Optical Imaging Core. The Optical Imaging Core (OIC) provides imaging services for VAI and collaborating institutions. Its goal is to serve the VAI community with state-of-the-art imaging resources to address a broad variety of research questions, as well as offering the expertise to train researchers to use these resources effectively. As an Image Analyst on our team, you will assist researchers by providing technical and computational expertise to accomplish their goals through bioimage analysis. In this role, you will be responsible for developing and supporting advanced image analysis workflows, including but not limited to Python-based image processing/analysis pipelines, training of novel machine learning models, bespoke pipelines with existing image analysis software, and FAIR use protocols for reproducible, unbiased image-based assays. You will collaborate with our existing image analyst as well as work directly with PIs and researchers to help design and optimize imaging experiments for appropriate downstream analyses.

Applications are invited for a Postdoctoral Research Associate to work jointly with a group of investigators in McGill University, University of Laval, University of Alberta, as with collaborators in several European institutions in a collaborative project that will build next-generation high-throughput microscopy devices. This position is funded by a CIHR Catalyst grant for the development and validation of new biomedical techniques and technologies. The position will be based in McGill University's Department of Physiology, in Montreal, Quebec, Canada.   The project’s objective is to further develop a high-throughput imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426). The RAP platform collects high-contrast images in multi-well plates using an optical scanning approach that avoids the use of robotics. The current project aims to improve RAP by i) modifying RAP to enable capture from many wells simultaneously; ii) developing an optical path to capture fluorescence data; and iii) developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will design an optical system that can be easily built and used by non-expert users.  Qualifications and skills:

1. The applicant should have a PhD or equivalent in biomedical engineering, physics, computer science, optical engineering, opto-mechanics, or microscopy; or alternatively have demonstrated proficiency in developing microscopy or optics tools as part of their research program in another field.
2. An interest in open source instrumentation development (software and/or hardware).
3. Proficiency in programming (C, C++, Java or python).
4. Familiarity with machine learning tools and open-source development is a plus. The applicant will work closely with the inventors of RAP technology and a group of academic and industry collaborators that include experts in optics, instrumentation design, bioimaging facilities management, and the integration of machine learning tools with microscopy. In addition, the applicant will have access to an external open-science steering committee with expertise in microscopy to ensure project outputs follow best-practices for open-source science.

Apply here: https://mcgill.wd3.myworkdayjobs.com/en-US/McGill_Careers?q=JR0000063953

For information on the Bub Lab see: https://gil-bub.lab.mcgill.ca/

Director, Quantitative Cellular Imaging – Cell Science The goal of Allen Institute for Cell Science is to develop a comprehensive and holistic approach to measure, describe, and model cell states and their dynamic changes over time with the ultimate goal of uncovering the fundamental principles of multiscale, multicellular morphogenesis, including how groups of cells organize and achieve collective behaviors essential for life. Our approach encompasses multi-modal data collection including live 3D timelapse imaging, data analysis, theory, and predictions to understand cell states and cell state transitions in human induced pluripotent stem cell models. As a division within the Allen Institute, the Allen Institute for Cell Science uses a team-oriented approach, focusing on accelerating foundational research, developing standards and models, and cultivating new ideas to make a transformational impact on science.

The Allen Institute for Cell Science is seeking an outstanding, goal-oriented, highly motivated Director, Quantitative Cellular Imaging, to drive our efforts to ideate, invent, scale, and implement quantitative cellular imaging assays from initial cell line creation through image data collection using different stem cell models. This is an exciting and rare opportunity for a generalist to contribute to the Allen Institute for Cell Science’s transformative vision of cellular biology. The Director, Quantitative Cellular Imaging, works closely with Program Management and Leadership to further develop and then implement the Institute’s mission and milestones based on Leadership’s strategic vision. They will also lead a diverse team of subject matter experts, ranging from experimental and quantitative researchers to microscope instrument specialists.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Responsibilities include: Leadership and Strategy

• Provide strategic direction for experimental cell biology and quantitative imaging efforts in alignment with the Institute research goals
• Keep up to date with the newest developments in quantitative cell biology and live imaging modalities
• Foster a collaborative and supportive team environment that encourages creativity and innovation
• Work closely with Leadership and Program Management to develop, communicate, implement, and drive Leadership’s strategic vision forward Research and Development
• Oversee the implementation of quantitative image-based assays from initial cell line creation through image data acquisition toward producing multi-modal, integratable data (e.g. imaging data paired with “omics” data) for image analysis, and descriptive and explanatory modeling
• Develop a roadmap and proposals for cell line, assays, and imaging-based efforts, identify technical risks and dependencies in the planning process, ensuring timely mitigation with Program Management
• Develop a roadmap and implementation plan for cutting-edge microscope modalities as needed to meet the scientific goals of the Institute
• Work with fellow directors of synthetic biology, quantitative image analysis & descriptive modeling, explanatory modeling and software engineering as well as other stakeholders to prioritize, plan and implement experimental image-based assay efforts Management and Mentorship
• Manage experimental and quantitative (joint experimental and computational) management teams, individual researchers, and microscope instrument specialists, providing guidance, mentorship, professional growth and skill development and performance feedback
• Scientifically supervise scientists/subject matter experts as appropriate for their specific projects
• Oversee the recruitment, training, and professional development of team members
• Foster a culture of learning and knowledge sharing within the team and within the Institute Dissemination and Collaboration
• Actively participate in scientific conferences and workshops, presenting research findings and networking with the research community
• Establish and maintain collaborations with external researchers and institutions
• Contribute to the dissemination of research findings through publications, presentations, and other channels Required Education and Experience
• PhD degree in biological science (e.g., cell biology, developmental biology, biophysics, bioengineering), physical science, or related science, engineering or related field or equivalent combination of degree and experience required
• Established as an expert in cell biology with publications in peer-reviewed journals
• Minimum 7 years of professional, post-PhD experience in quantitative cell biology
• Proven leadership qualities with at least 3 years of independent supervisory experience (such as in a laboratory head/PI role) Preferred Education and Experience
• Minimum 10 years of professional, post-degree experience in quantitative cell biology
• Extensive experience with 3D, live fluorescent imaging modalities
• Extensive experience developing quantitative image-based assays to generate integratable, multi-modal data (e.g. imaging data paired with “omics” data)
• Experience working with standardization in imaging assays, including metadata and data management
• Experience working in 3D stem cell models
• Experience developing cell models for imaging assays
• Experience implementing and maintaining microscope infrastructure
• Experience in image analysis
• Experience working in dynamic, fast-paced research environments with a start-up and growth mindset
• Strong collaboration skills, including working with program managers and diverse subject matter experts
• Proven ability to manage projects and people at multiple levels within a multidisciplinary team
• Extensive experience in manuscript writing and collaborative grant writing
• Excellent organizational, written, and verbal communication skills, with strong interpersonal skills for cross-team coordination Position Type/Expected Hours of Work
• This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis. Travel
• Attendance and participation in national and international conferences required Additional Comments
• **Please note, this opportunity offers relocation assistance**
• **Please note, this opportunity offers work visa sponsorship** Annualized Salary Range
• $206,450 - $270,900 * * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable. Benefits
• Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities

Director, Explanatory Modeling – Cell Science The goal of Allen Institute for Cell Science is to develop a comprehensive and holistic approach to measure, describe, and model cell states and their dynamic changes over time with the ultimate goal of uncovering the fundamental principles of multiscale, multicellular morphogenesis, including how groups of cells organize and achieve collective behaviors essential for life. Our approach encompasses multi-modal data collection including live 3D timelapse imaging, data analysis, theory, and predictions to understand cell states and cell state transitions in human induced pluripotent stem cell models. As a division within the Allen Institute, the Allen Institute for Cell Science uses a team-oriented approach, focusing on accelerating foundational research, developing standards and models, and cultivating new ideas to make a transformational impact on science. The Allen Institute for Cell Science is seeking a highly motivated and goal-oriented Director of Explanatory Modeling, to lead the development and implementation of multiscale mechanistic models that explain how cellular events emerge from underlying processes— for example, by iterating between and integrating agent-based approaches, bottom-up simulations, continuum models, and theory. This role offers a unique opportunity for a generalist to contribute to The Institute’s transformative vision for cellular biology as described in our recent Perspectives article in Cell. The Director will work closely with Program Management and Leadership to refine and execute the Institute’s mission and milestones aligning with our strategic goals. They will also lead a diverse team of subject matter experts, including computational biologists, quantitative and modeling scientists, and software engineers, working together to build frameworks that not only mirror real cellular dynamics, but also predict the outcomes of experiments not yet conducted. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Responsibilities: Leadership and Strategy:

• Provide strategic direction for explanatory modeling efforts, ensuring alignment with the Institute research goals
• Stay at the forefront of emerging advancements in explanatory modeling including agent-based and biophysical continuum modeling and simulations to inform research directions
• Foster a collaborative, cross-disciplinary team environment that encourages creativity, innovation, and integration of diverse modeling approaches
• Work closely with Leadership and Program Management to develop, refine, communicate, and implement the Institute’s strategic vision, ensuring that explanatory modeling contributes meaningfully to broader scientific goals Research and Development:
• Lead the development of multiscale mechanistic models that explain how cellular events emerge from underlying molecular and biophysical processes, integrating and iterating between agent-based approaches, bottom-up simulations, continuum models, and theory
• Contribute to productive integration of computational and experimental data to build predictive frameworks that can link molecular-scale mechanisms to emergent cellular behaviors observed in imaging data
• Develop a roadmap and proposals for explanatory modeling efforts, identifying key technical risks, dependencies, and milestones in collaboration with Program Management to ensure timely mitigation
• Guide the selection and development of computational tools and methodologies required to scale explanatory modeling approaches, ensuring they align with the Institute’s broader research infrastructure
• Work closely with fellow directors of synthetic biology, quantitative cellular imaging, quantitative image analysis & descriptive modeling, software engineering, and other stakeholders to prioritize, plan and implement explanatory modeling strategies that complement other experimental image-based assay efforts Management and Mentorship:
• Lead and mentor managers and individuals on a multidisciplinary team of computational biologists, quantitative and modeling scientists, and software engineers, fostering a collaborative environment that integrates diverse expertise
• Scientifically supervise scientists/subject matter experts, as appropriate, for their specific projects
• Oversee the recruitment, training, and career development of team members, supporting their professional growth in computational modeling, mechanistic simulation, and interdisciplinary collaboration
• Foster a culture of learning and knowledge sharing, encouraging team members to stay engaged with cutting-edge developments, other efforts in the institute, and to contribute to the broader research community
• Provide structured performance feedback and mentorship, guiding both early-career and senior scientists toward leadership roles in explanatory modeling Dissemination and Collaboration:
• Actively participate in scientific conferences and workshops, presenting research findings and networking with the research community
• Establish and maintain collaborations with external researchers and institutions
• Communicate explanatory modeling insights to experimental biologists and other stakeholders, ensuring that these approaches effectively inform hypothesis generation and experimental design
• Advocate for open science and reproducibility, contributing to community-driven initiatives that promote standardized data formats, model sharing, and transparent research practices
• Support external collaboration across disciplines, ensuring that model development is well-integrated with experimental biology, imaging technologies, and data science efforts *Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education and Experience
• PhD degree in biological science (e.g., cell biology, developmental biology, biophysics, bioengineering), physical science, or related science, engineering or related field or equivalent combination of degree and experience required
• Established as an expert in explanatory modeling in cell biology with a track record of peer-reviewed publications and/or code repositories demonstrating contributions to mechanistic, agent-based, or multiscale modeling of cellular systems
• Minimum 7 years of professional, post-PhD experience developing and applying computational models to understand cellular behaviors
• Proven leadership qualities with at least 3 years of independent supervisory experience (such as in a laboratory head/PI role) Preferred Education and Experience
• Minimum 10 years of professional, post-degree experience in explanatory modeling
• Extensive experience with mechanistic, agent-based, or multiscale simulations of cellular systems
• Extensive experience with continuum models in the cellular biophysics space
• Extensive experience in integrating explanatory models with experimental data, particularly in live-cell imaging, single-cell analysis, and/or biophysical measurements
• Proven ability to develop scalable modeling frameworks that link molecular-scale interactions to emergent multicellular behaviors
• Experience in model validation and reproducibility, including the use of community standards for data sharing, metadata annotation, and simulation reproducibility
• Background in developing or applying computational tools for 3D and 4D live-cell image-based analysis and mechanistic simulations
• Experience working in dynamic, fast-paced research environments with a start-up and growth mindset
• Strong collaboration skills, including working with program managers and diverse subject matter experts
• Proven ability to manage projects and people at multiple levels within a multidisciplinary team
• Extensive experience in manuscript writing and collaborative grant writing
• Excellent organizational, written, and verbal communication skills, with strong interpersonal skills for cross-team coordination Physical Demands
• Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment Position Type / Expected Hours of Work
• This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State. Travel
• Attendance and participation in national and international conferences required Additional Comments
• **Please note, this opportunity offers relocation assistance**
• **Please note, this opportunity offers work visa sponsorship** Annualized Salary Range
• $206,450 - $270,900 * * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable. Benefits
• Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities

ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment.

The successful candidate will be joining the Super-resolution Light Microscopy & Nanoscopy (SLN) Research Facility at ICFO led by Dr. Pablo Loza-Alvarez, which is equipped with front-end microscopy techniques that are able to operate a step beyond the commercial state of the art.

The successful candidate will be responsible for studying how to apply optical techniques to analyse and recover the information of historical wall paintings and identify its composition, status, or all relevant information for the preservation of the UNESCO World Heritage Site La Pedrera-Casa Milà (Barcelona).

This project is a collaboration between Fundació Catalunya La Pedrera and ICFO.

The successful candidate’s position will be linked to ICFO.

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.