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Wen School of Population & Public Health at the University of California, Irvine invites applications for a full-time Assistant, Associate, or Full Professor-in-Residence.
The mission of the Department is to generate, integrate, and translate population-based knowledge into strategies to reduce the risk and burden of human disease and disability through excellence in interdisciplinary research, education, and service.
The DPHDP is a focus of excellence in cross-disciplinary public health research, education, and practice at UCI.
DPHDP faculty have strong expertise in global health and infectious disease, biological and behavioral mechanisms of health and illness, cancer survivorship, nutrition science, and population-based interventions.
Preferred candidates will have scholarship that strongly complements a departmental area of focus.
Some examples include research in the areas of nutrition science (e.g., nutrition and aging), global health (e.g., sustainability research, antimicrobrial resistance), or biobehavioral research (e.g., salivary bioscience, inflammation and chronic illness).
Faculty in the In-Residence Professor series are appointed based on contributions in teaching and mentoring, research, University and public service, professional competence, and/or creative activities.
This is an Academic Senate position.
Duties will include: • Conduct independent and collaborative health-focused research funded by extramural sources in alignment with the departmental mission.
• Contribute to undergraduate and/graduate-level teaching and mentoring in accordance with departmental teaching expectations.
• Participate in research and scholarly activities in the discipline.
Academic rank and salary will align with training, qualifications, and experience.
About UC Irvine About campus text is set by your campus admin and will appear in the ad AD The University of California, Irvine is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC anti-discrimination policy.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
“Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy for Employees, Students and Third Parties APM
- 035: Affirmative Action and Nondiscrimination in Employment.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time.
Federal, state, or local government directives may impose additional requirements.
Hi Rameez here from Beaconfire. I hope you're doing well! We’re currently hiring for an exciting MERN/MEAN Developer role, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.
About the Company
BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; looking for candidates with a strong background in Software Engineering or Computer Science for a Python/Node Developer position.
About the Role
The role involves developing websites and writing scalable, secure, maintainable code while collaborating with team members to achieve project goals.
Responsibilities
- Develop websites using HTML, CSS, Node.js, React.js, and Angular2+, among other tools;
- Write scalable, secure, maintainable code that powers our clients’ platforms;
- Create, deploy, and maintain automated system tests;
- Work with Testers to understand defects opened and resolves them in a timely manner;
- Supports continuous improvement by investigating alternatives and technologies and presenting these for architectural review;
- Collaborate effectively with other team members to accomplish shared user story and sprint goals;
- Invest time in constant professional development to stay up to date with new technological development and programming languages;
- Discover and fix programming bugs;
- Other duties as assigned.
Qualifications
- Proficient understanding of HTML and CSS;
- Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
- Basic knowledge of code versioning (e.g. Git, SVN);
- A passion for coding pixel perfect web pages;
- Good verbal communication and interpersonal skills.
Required Skills
- Proficient understanding of HTML and CSS;
- Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) and understanding of the software development life cycle;
- A passion for coding pixel perfect web pages;
- Good verbal communication and interpersonal skills.
Preferred Skills
- Bachelor's degree or higher in Computer Science or related fields;
- 0-1 year of practical experience in JavaScript coding;
- Familiarity with at least one JavaScript framework (Angular2+, React.js, Express.js);
- Experience with unit and integration testing of code, with an understanding of JavaScript testing frameworks like Jasmine, Cucumber, Mocha, and Karma;
- Experience providing REST/SOAP APIs for user interface consumption;
- Experience working within an Agile development methodology Scrum.
BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).
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About Means Engineering, Inc.
Means Engineering, Inc., headquartered in Carlsbad, CA, delivers innovative solutions across the medical, industrial, semiconductor, and military sectors. We combine deep expertise in product development with a relentless commitment to design, function, and quality.
Our team is guided by our core values — Passion, Integrity, Innovation, Quality, and Ethics — ensuring every project meets the highest standards. Join us and be part of a company that values craftsmanship, collaboration, and excellence.
Key Responsibilities:
- Perform advanced-level setup and operation of milling, turning, and grinding machines.
- Troubleshoot and resolve machining issues quickly and effectively.
- Read and interpret blueprints, technical drawings, and job specifications.
- Execute high-precision benchwork and layout activities.
- Edit CNC setup sheets; suggest and implement programming or process improvements.
- Inspect parts to ensure conformance to quality standards and specifications.
- Accurately document work in the ERP system, including job status, time tracking, and nonconformance reports.
- Collaborate with Process Engineering on new product introduction (NPI) and continuous improvement projects.
- Maintain a clean, organized, and safe work environment; follow all company policies and safety
Qualifications:
- Minimum of 7 years of related machining experience.
- Strong English communication skills – able to understand verbal and written instructions, collaborate with team members, and actively participate in meetings and training.
- Math proficiency in algebra, geometry, and trigonometry.
- Exceptional measurement skills with the ability to work within tight tolerances.
- Expertise in reading and interpreting technical drawings, specifications, and quality standards.
- Ability to document quality control requirements clearly and accurately.
- Solid understanding of tooling, equipment safety, and machining best practices.
- A proactive mindset for addressing non-conforming operations and producing accurate, high-quality parts within deadlines.
- Ability to work both independently and collaboratively, with experience mentoring junior team members
Position title:
Assistant/Associate/Full Researcher
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $199,700- $357,200.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: February 26, 2026
Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.
The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.
This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.
As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.
Key Responsibilities:
*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.
*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.
*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.
*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.
*Publish research findings in high-impact journals and presenting at scientific conferences.
*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.
*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.
*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).
*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.
*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.
*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.
*Organize and plan on the design and development of new AI techniques to further ABC's mission.
Lab:
Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree)
Additional qualifications (required at time of start)
Two (2) years of post PhD research experience.
For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.
For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.
Preferred qualifications
*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.
*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.
*Strong publication record indicating research independence and leadership.
*Excellent communication, organizational, and leadership skills.
*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.
*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.
*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.
*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.
*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).
*Expertise in programming in C/C++, MATLAB, Bash.
*Expertise in databases, data infrastructure, data governance.
*Expertise in high performance computing using SLURM or LSF.
*Experience with PyTorch, JAX, or Tensorflow.
*Experience with NVIDIA CUDA and related OpenMP programming.
*Experience with cloud services (AWS, GCP, Azure, etc.).
*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).
*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.
*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.
*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.
*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.
*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05214
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Position title:
Project Scientist
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $181,700 - $229,700.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: February 25, 2026
Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientists at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of machine learning & data analytics.
The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.
The Assistant/Associate/Full Project Scientists will be an integral part of a visionary scientific team driving cutting-edge biological discoveries through immediate applications of critical advances in imaging technologies. These positions will work with a dedicated team to develop data analytics software in terabyte- to petabyte-scale imaging projects. The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators.
Successful candidates will be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner. The work will primarily be conducted at the facility in Barker Hall. Occasional travel may be required.
Key Responsibilities
*Make significant and creative contributions to development of new imaging and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.
*Design, build, and maintain new software packages for efficient data processing.
*Advise on applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.
*General organization and management of software documentation.
*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.
*Work with petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry). Identify and implement scalable solutions to scientific questions on large-scale data sets, especially using performant algorithms.
*Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks.
*Contribute to dissemination via open source code repositories, demonstrations, publications, presentation.
These positions will be eligible for full benefits.
Lab:
Contract: ar-contract-2022/
Qualifications
Basic qualifications (required at time of application)
*PhD (or equivalent international degree)
Additional qualifications (required at time of start)
*Minimum of four years of postdoctoral research experience
*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience
*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience
Preferred qualifications
*PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field
*Demonstrated record of productivity and publications and/or scholarly contributions
*Strong biological background and understanding of molecular biology
*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras
*Demonstrated ability to work in a research team, manage active collaborations with other academic groups
*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond)
*Expertise in programming in C++, Labview, MATLAB, Python
*Expertise in databases, data infrastructure, data governance
*Expertise in high performance computing using SLURM or LSF
*Experience with PyTorch, JAX, or Tensorflow
*Experience with NVIDIA CUDA and related OpenMP programming
*Experience with cloud services (AWS, GCP, Azure, etc)
*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc
*Experience mentoring undergraduate/graduate students, and/or technicians.
*Experience with professional speaking engagements
*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers
*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position
Project Portfolio - Summary portfolio of data and/or AI projects executed, as demonstrated by publications or github contributions
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05256
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
The Advanced Aortic Imaging for Clinical and Translational Research (AAI-CTR) lab at UW–Madison is hiring a Postdoctoral Research Associate to develop and validate next-generation imaging biomarkers for aortic disease. If you want your algorithms to change how patients are monitored and treated, not just generate papers (although there is plenty of that too), this is the role.
Why This Lab:
Our group has built several image analysis techniques that have completely changed how we view aortic disease. Specifically, vascular deformation mapping (VDM) is a technique that detects aortic deformation patterns invisible to conventional diameter measurement, and we are actively translating it from research tool to clinical product. Our work sits at the intersection of deep learning, image registration, and clinical decision-making, with active industry partnerships aimed at commercializing the methods we develop. Former trainees have moved into competitive industry positions, co-developed new IP, and gone on to train at other top-tier programs. This is a lab where technical innovation and clinical impact are not separate goals.
What You’ll Do:
Algorithm & Pipeline Development
- Design, train, and validate DL/ML models for aortic CT and MRI (segmentation, registration, shape/growth modeling, VDM pipelines).
- Build and optimize image-based pipelines for longitudinal aortic surveillance using large, multi-center datasets.
- Benchmark algorithms against clinical reference standards; lead external validation and reproducibility testing.
Clinical Translation
- Collaborate directly with cardiovascular surgeons, cardiologists, and radiologists to define clinically meaningful performance targets.
- Advance investigational tools toward real-world use: workflow integration, reliability testing, and documentation aligned with regulatory and commercial pathways.
- Apply novel analysis methods to large patient populations (UW and multi-center cohorts) to generate evidence that supports clinical adoption.
Data & Project Leadership
- Curate, organize, and manage large clinical imaging datasets and associated outcomes data.
- Mentor and collaborate with trainees across clinical, engineering, and physics backgrounds.
- Lead manuscript preparation, conference abstracts, and presentations; build your independent publication record.
Required Qualifications
- Ph.D. (or equivalent) in Biomedical Engineering, Electrical/Computer Engineering, Computer Science, Medical Physics, or a closely related quantitative field.
- Hands-on experience with medical image analysis on CT and/or MRI.
- Strong AI/DL skill set: proficiency in Python and common ML/DL frameworks (PyTorch, TensorFlow); experience training and evaluating models on large imaging datasets.
- Experience with core medical imaging tasks: segmentation, registration, or 3D model/shape analysis, transfer learning. Interest in deformation or longitudinal analysis is a plus.
- Track record of scientific productivity (peer-reviewed publications, conference papers) and strong written/oral communication.
- Genuine interest in clinical translation, meaning building tools clinicians will actually use, not just publishing methods papers.
Preferred
- Prior work with vascular or cardiovascular imaging (aorta, aneurysm/dissection, cardiac CT/MR).
- Experience with image registration or statistical shape/deformation modeling.
- Familiarity with database tools and good data engineering practices for imaging research.
- Comfort working in multi-disciplinary teams and collaborating closely with clinicians.
- Creative, independent problem-solving mindset: able to prototype, test, and iterate quickly.
Commitment & Environment
We are looking for someone who can commit to at least 18–24 months. Meaningful translational research takes time: developing a method, validating it rigorously, and publishing the results is not a short-term endeavor. In return, you will work in a highly collaborative environment spanning Radiology, Surgery, Cardiology, and Medical Physics at UW–Madison, with direct access to large clinical datasets and a PI who is invested in your long-term career trajectory.
Work Authorization
Candidates who already hold valid U.S. work authorization are preferred, including F-1 OPT and STEM OPT. We are open to sponsoring H-1B visas for exceptional candidates, though candidates who do not require immediate employer-sponsored work authorization will have an advantage given current processing timelines.
Our internal consulting agency is seeking a Senior Digital Analytics Implementation Specialist to join their team in an ongoing contract or full-time employment capacity if desired.
Role Type: Senior Individual Contributor (Non Manager)
Team: Adobe Practice Operational Readiness & Optimization
Location: Flexible (U.S.) | Travel ~1020%
Role Overview
Were hiring a Senior Digital Analytics Implementation Specialist to serve as the hands on expert in Adobe Analytics (AA), Adobe Customer Journey Analytics (CJA), and Adobe Experience Platform (AEP). This role is focused on implementation excellence configuring instrumentation, ensuring accurate data capture, preparing AEP datasets for analysis, and building CJA data views and dashboards that deliver reliable insights.
This role supports the end to end analytics foundation across Adobe Analytics CJA AEP, ensuring data is modeled, stitched, joined, and validated so downstream solutions work reliably.
Key Responsibilities
Implementation Leadership Adobe Launch, AEP Web SDK, Tagging
" Lead Adobe Launch (Tags) and AEP Web SDK/Edge Network implementations, including tagging configuration, event mapping, and QA across environments.
" Develop and maintain data layer specifications, event taxonomies, tracking patterns, and documentation frameworks.
" Write and maintain Solution Design References (SDRs) capturing event-level instrumentation.
" Conduct detailed instrumentation QA, validating accuracy, identity behavior, and end-to-end data integrity.
Adobe Analytics Configuration & Migration Support
" Configure Adobe Analytics variables (events, props, eVars) to support clean ingestion and alignment with AEP datasets.
" Audit existing Adobe Analytics setups and support transition toward CJA based analysis.
" Ensure Adobe Analytics event structures align to XDM expectations and AEP stitching requirements.
AEP Data Modeling & Dataset Preparation
" Contribute to AEP XDM schema definition, identity namespace setup, and dataset configuration.
" Validate dataset ingestion (batch & streaming), schema mapping, identity stitching, and join readiness.
" Collaborate with engineering teams to ensure stable ingestion flows from SDK AEP CJA.
CJA Configuration, Joins & Dashboarding
" Set up and maintain CJA Connections across AEP datasets.
" Configure Data Views, including joins, identity mapping, component governance, calculated metrics, and filters.
" Build CJA Workspace dashboards for lifecycle reporting, funnel analysis, product insights, and operational visibility.
" Apply consistent naming, structuring, and governance patterns for scalable reporting.
Cross-Solution Alignment
" Ensure tracking and dataset structures support downstream segmentation, activation, and journey measurement use cases.
" Partner with internal solution leads across data, workflow, content, and activation to ensure end to end data integrity.
" Provide clarity on how instrumentation decisions impact cross-platform behavior in AEP and CJA.
Required Qualifications
" Active Adobe Certification(s) in Adobe Analytics and/or Adobe Customer Journey Analytics (CJA), at Professional or Expert level.
" Strong hands-on experience implementing:
o Adobe Launch (Tags)
o AEP Web SDK / Edge Network
o Data layers and event instrumentation
o Adobe Analytics variable/event design
o CJA Connections, Data Views, identity joins, and derived fields
" 58+ years of digital analytics implementation or instrumentation experience.
" Experience with AEP XDM schemas, datasets, identity graphs, and ingestion validation.
" Proficiency writing SDRs, tracking requirements, and data-layer specifications.
" Experience building CJA dashboards, funnels, cohort analyses, and cross-channel insights.
Preferred Qualifications
" Experience with server-side tagging and event forwarding.
" Familiarity with AJO measurement needs and journey data flows.
" Experience with cloud data platforms (Snowflake, BigQuery, Synapse).
" Exposure to lifecycle marketing analytics, experimentation, or Adobe Target.
What Success Looks Like
" Accurate, reliable tracking captured through Launch and Web SDK.
" Clean, well structured AEP datasets that stitch and join correctly inside CJA.
" Dashboards and insights that reflect consistent, trusted data.
" Smooth, stable AA CJA AEP workflows enabling dependable reporting and analysis.
" Solid alignment with solution leads ensuring data supports activation, journey design, and content workflows.
In this position, you may have access to client or customer systems, confidential and/or proprietary information or data.
Benefits
Creative Circle's Freelance Employee benefits package includes eligibility for Minimum Essential Coverage (MEC) medical plan, dental/vision/term life package, discount prescription program, critical illness, accident, tele-behavioral health, and 401(k) plan. Sick leave is provided to Candidates whose assignment work location is in a state or city subject to sick leave laws. A Minimum Value (MV) PPO medical plan, Employee Stock Purchase Plan, and paid holiday eligibility are based on length and dates of service.Email Your Resume In Word To
Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply.
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Meggan Sharma - Recruiter, National Delivery
For Creative Circle to represent you for this opportunity, you must be currently authorized to work in the United States without the need of employer sponsorship for a non-immigrant visa such as a H-1B, TN, or O visa. We do not support or provide training for STEM/OPT programs. Additionally, you must be physically located in and perform the work for our client in the United States.This is a new role.
This job was first posted by Creative Circle on 03/13/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.
This job was posted on 03/13/2026 and is open for 60 days
Creative Circle is an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Creative Circle will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. If you need a reasonable accommodation in the application process, please contact your Recruiter (the person you'll be interviewing with) or a member of our Human Resources team to make arrangements. United Healthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Creative Circle.
Copyright 1999 - 2026. CreativeCircle , Inc. All rights reserved.
Position title:
Associate Librarian-Temporary
Salary range:
The UC academic salary scales set the minimum pay determined by rank and salary point at appointment. See the following table(s) for the current salary scale(s) for this position: . A reasonable estimate for this position is $80,349-$102,121.
Percent time:
100%
Anticipated start:
As early as January 2025. Start date is flexible.
Position duration:
This is a two-year, temporary full-time appointment with the possibility of renewal for one additional year based on funding and performance.
Application Window
Open date: October 14, 2025
Most recent review date: Friday, Nov 14, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Tuesday, Mar 31, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Environment
The UC Berkeley Library is an internationally renowned research and teaching facility at one of the nation's premier public universities. A highly diverse and intellectually rich environment, Berkeley serves a campus community of 33,070 undergraduate students, 12,812 graduate students, and 1,525 faculty members. The Library comprises 20 campus libraries, including the Doe Library, the Moffitt Library, the Bancroft Library, the C.V. Starr East Asian Library, and numerous subject specialty libraries. With a collection of more than 12 million volumes and a collections budget of over $15 million, the Library offers extensive resources in all formats and robust services to connect users with the collections and build their research skills.
The Library Data Services Program (LDSP) guides scholars to discover, access, share, and preserve data through dataset acquisition, discovery, and librarian-led instruction and consultations. LDSP works with UC Berkeley librarians and library staff to provide internal professional development and training opportunities to enhance our data management skills and provide data services for our users. LDSP provides data services to all disciplines at UC Berkeley through collaboration with librarians and library staff in the Library's divisions including Arts and Humanities, Instruction Services, Sciences, and Social Sciences.
Responsibilities
The Data Instruction and Outreach Librarian will work in partnership with and under the guidance of the Data Services Librarian in the Library Data Services Program. Librarians and staff in the Library Data Services Program collaborate closely with subject librarians and library staff to provide data support for researchers, faculty, and students who are using data in research, teaching, and learning. This librarian will actively participate in the Library's instruction services-providing consultations, teaching workshops, and designing instructional content.
The Data Instruction and Outreach Librarian will develop and maintain a scaffolded approach to data instruction that includes: supporting novice users, including undergraduate students, who may be unaccustomed to working with data; providing instruction and outreach for the library's licensed datasets and platforms; and collaborating with subject and instruction librarians to teach data literacy, ethics, analysis, and visualization. This position also works to integrate data literacy and data science pedagogical practices into the library's instructional portfolio, with a special focus on undergraduates. Since using AI in data analysis workflows is becoming more common, the librarian will help faculty, researchers, and students use licensed AI tools in conjunction with ethical and legal use of library resources, as well as within the broader University context.
The librarian will engage with the Research Data Management Program. This unique program bridges the UC Berkeley Library and Research IT to conduct outreach related to data management, storage, and sharing. UC Berkeley, through entities like the Library, the College of Computing, Data Science, and Society, the D-Lab, the Berkeley Institute for Data Science, and the Berkeley Initiative for Transparency in the Social Sciences, actively supports the development of research and classroom environments that champion transparency and reproducibility. The successful incumbent will collaborate with these campus partners and librarians to facilitate open research practices and workflows where possible.
UC Berkeley librarians are expected to participate in library-wide planning and governance and work effectively in a shared decision-making environment. Advancement is partially based upon professional contributions beyond the primary assignment; the successful candidate will show evidence or promise of such contributions to the Library, campus, UC System, and profession.
The UC Berkeley Library is committed to supporting and encouraging respect and empathy, and nurturing a culture where all employees thrive. The Library seeks candidates who recognize and appreciate one another's contributions, expertise, and accomplishments and will strive to provide equitable access to a diverse set of collections and services. For more information, please see the UC Berkeley Library Statement of Values.
UC professional librarians are academic appointees and are represented by an exclusive bargaining agent, the University Council - American Federation of Teachers (UC-AFT). This position is in the bargaining unit. Librarians are entitled to appropriate professional development leave, vacation leave, sick leave, and all other benefits granted to non-faculty academic personnel. The University has an excellent retirement system and sponsors a variety of group health, dental, vision, and life insurance plans in addition to other benefits. This is an externally funded appointment.
This position is eligible for some remote work. Exact arrangements are determined in partnership with your supervisor to meet role responsibilities and department needs, and are subject to change.
UC Berkeley Library Website:
UC Berkeley Library statement of values: about/library-values
Qualifications
Basic qualifications (required at time of application)
Advanced degree or enrolled in an advanced degree program.
Additional qualifications (required at time of start)
- Advanced degree.
- Two years of experience providing reference and instructional services in an academic or professional setting.
Preferred qualifications
- Master's degree from an American Library Association (ALA) accredited institution program or equivalent degree.
- Demonstrated commitment to the Library's values.
- Demonstrated analytical, presentation, and communication skills.
- Demonstrated ability to provide effective instruction and training related to digital literacy, artificial intelligence, technology skills, and/or research data management.
- Experience working with some languages, platforms, and environments to support interactive, computational research, such as Python, R, Jupyter, GitHub, and/or Unix Shell.
- Participation in The Carpentries or other data science education program.
- Demonstrated experience working effectively with all staff in a highly collaborative, matrixed environment.
- Experience working collaboratively with multiple stakeholders in an academic environment.
- Experience accessing, creating, analyzing, or manipulating qualitative and/or quantitative data for academic research purposes. This may include experience with datasets in the sciences (e.g. astronomy, ecology, genomics) or social sciences (e.g., government, financial, survey).
- Demonstrated knowledge and application of data ethics including awareness of key topics related to artificial intelligence, data privacy, security, and bias as well as legal uses of licensed and open data.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Reference requirements
- 3-5 required (contact information only)
Apply link:
JPF05126
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
Position title:
Project Scientist
Salary range:
The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: . A reasonable estimate for this position is $146,700 - $204,600.
Percent time:
100%
Anticipated start:
Winter/Spring 2026
Position duration:
Initial appointment is for one year with the possibility of renewal based on performance and funding availability.
Application Window
Open date: February 24, 2026
Most recent review date: Tuesday, Mar 10, 2026 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for two Project Scientist at the Assistant, Associate, or full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The project scientist will make significant and creative contributions in the area of molecular and cellular microscopy research.
The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.
The purpose of this project is to develop a foundation AI model capable of extracting biological insights from 4D (x,y,z,time) datasets of subcellular dynamics within physiological contexts and across scales. Incumbent will advance imaging to generate petabytes of targeted and high quality datasets necessary to prototype and build this model. The Assistant/Associate/Full Project Scientists will help develop and execute the research program focused around ABC's overarching goal of moving cell biology away from the coverslip and into physiological systems. These positions will work within a dedicated team to develop and refine the microscopy techniques. This position will manage projects and provide regular progress reports to PIs and collaborators.
The incumbent will spend 90% of their time on ABC research goals and managing and maintaining equipment in the lab and 10% of their time training/supervising collaborators, graduate students and postdoctoral fellows on MOSAIC/iAOLLSM capabilities.
Key responsibilities:
*Make significant and creative contributions to designing, building, and testing of a new high throughput adaptive optical inverted lattice light-sheet microscope (iAO-LLSM). This instrument aims to achieve a 10-fold increase in data acquisition throughput while maintaining the high-quality optical performance demonstrated in our previous work.
*Use, maintain, and oversee the operations of the two next-generation multimodal optical scopes with adaptive imaging correction (MOSAIC) microscopes at the ABC.
*Actively participate in handling/mounting biological samples on advanced microscopes and collect 4/5D datasets.
*Collaborate with a cross-disciplinary team of AI scientists, data engineers, instrumentation scientists and biologists and generate high resolution microscopy data using novel transparent developing organism reagents necessary to reach the goal of prototyping and training a 4D foundation model.
*Actively participate in national and international collaborations, presentation of research findings at scientific conferences, and publication of results in leading peer-reviewed journals.
*The incumbent will actively participate in and occasionally lead efforts to develop new projects.
These positions are eligible for full benefits.
Lab:
Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/
Qualifications
Basic qualifications (required at time of application)
*PhD (or equivalent international degree)
Additional qualifications (required at time of start)
*Minimum of four years of postdoctoral research experience
*For consideration for the Associate Project Scientist rank: a minimum of 8 years of post PhD research experience
*For consideration for the full Project Scientist rank: a minimum of 14 years of post PhD research experience
Preferred qualifications
*PhD or equivalent international degree in Physics, Chemical or Biological Engineering, Molecular and Cell Biology, Systems Biology, Biochemistry, or Related Field.
*Experience or expertise in light microscopy, spectroscopy, or laser optics.
*Experience or experience with adaptive optics and lattice light sheet microscopy.
*Experience or experience designing and building custom microscopes.
*Ability to troubleshoot microscopy instruments, prepare samples, design research methodology.
*Proficient with CAD programs for instrument design (e.g. Autodesk Inventor or Solidworks).
*Ability to explain concepts to a variety of audiences; and oversee a laboratory space or unit.
*A strong preference for a record of imaging, characterization and analysis of live cells and biological tissues.
*Experience with data and image processing, evaluating image quality, visualizing and analyzing image data.
*Experience making figures and movies with microscopy data for publishing articles.
*Experience collaborating with labs in a wide variety of areas.
*Experience executing large imaging projects (tens of terabytes to multi petabyte-scale)
*Experience leading technicians
*Ability to review research proposals and ideas, evaluate research capabilities, and make recommendations.
*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.
*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Research - Provide a summary of your major research accomplishments in approximately 250 words. Additionally, please include a brief statement highlighting your experience that is directly relevant to the key responsibilities of this position.
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05253
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
The future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.
At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.
HumanSignal is seeking a Quality Control Lead to ensure world-class data quality across our Label Studio platform and Data Creation Laboratory operations. In this role, you will be the ultimate authority on the integrity and usefulness of the data we manufacture and deliver to customers. You will drive accountability across our highest-impact projectstackling complex quality challenges head-on while leading strategic initiatives that enable reliable, scalable delivery as we grow.
Our Data Creation Laboratories don't just label existing datawe manufacture purpose-built datasets from scratch in controlled environments. This means quality control takes on new dimensions: you're not just checking annotations, you're ensuring that the human-generated data we create meets the exacting standards required by frontier AI labs and enterprises pushing the boundaries of what's possible.
You Will:
- Build and lead a high-performing team of quality control specialists who set the standard for data excellence
- Collaborate with delivery teams and laboratory operations to interpret, refine, and exceed customer requirements
- Manage day-to-day operations including workload planning, resource allocation, and performance reporting
- Design and implement scalable quality frameworks and best practices that grow with the organization
- Champion initiatives that drive improvements in quality, operational efficiency, and customer satisfaction
- Serve as the ultimate standard-bearer for data quality, ensuring HumanSignal is recognized as the most trusted source of training data in AI
Ideally You'd Have:
- Bachelor's degree in Computer Science, Engineering, Operations, or a related discipline
- 4+ years of experience leading teams or scaling complex operational or technical processes
- Strong analytical capabilities and problem-solving skills, with proficiency in SQL and meticulous attention to detail
- Demonstrated experience building systems, processes, and teams across diverse customer segments or product offerings
- Hands-on background in operations management, product management, or management consulting at a top-tier firm
- Track record of taking initiative and driving results in cross-functional technical environments
Nice to Haves:
- Master's degree in Computer Science, Engineering, Operations, or a related field
- Experience in AI/ML data operations or services
- Background working in high-growth, dynamic startup environments
- Experience building and scaling teams from the ground up
About HumanSignal
At HumanSignal, we're building the infrastructure for the next generation of AI. Our Label Studio platform powers data operations for leading organizations worldwide, while our Data Creation Laboratories manufacture the purpose-built datasets that breakthrough AI applications require.
We believe the next frontiers in AI won't be unlocked by scraping what's left on the webthey'll be built on human-created data that captures the complexity of how systems need to see, hear, reason, and react. Through controlled environments and operational excellence, we're enabling researchers and enterprises to innovate without being constrained by data availability.
We work with frontier AI labs, Fortune 500 enterprises, and government agencies who are pushing the boundaries of what's possible with AI. Join us in building the data that will build the future.
We are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity, or Veteran status.
At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $90,000 to $140,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.
