Humanoid Everyday Dataset Jobs in Usa

Clinical Data Scientist

Redwood City, CA (Hybrid potentially remote options)

Salary: $150,000-$190,000

No Sponsorship Available

About the Role

We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.

In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.

You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.

This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.

What You’ll Do

• Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
• Ensure outputs meet quality, compliance, and traceability standards.
• Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
• Perform robust data cleaning and QC checks.
• Investigate anomalies and troubleshoot issues across the data pipeline.
• Distinguish between upstream extraction issues and true clinical variations.
• Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
• Serve as an early user and feedback partner for internal data tools.
• Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
• Support compliance and regulatory submission needs.
• Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
• Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.

What You Bring

• Education:
• BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
• Experience:
• 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
• Technical Strengths:
• SAS, R, Python, SQL
• Experience with Git/version control preferred
• Industry Knowledge:
• Familiarity with clinical trial workflows
• Strong understanding of CDISC SDTM/ADaM
• Oncology endpoints (RECIST, survival) and RWD experience is a plus
• Data Wrangling:
• Comfort “stitching together” messy, real‑world clinical datasets
• Experience with unstructured text or NLP outputs is desirable
• Soft Skills:
• Exceptional attention to detail
• Clear, structured communicator
• Proactive, self‑directed, collaborative

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Job Title: Statistical Programming Analyst

Location: Columbia, SC

Contract duration: 6 Month contract with potential for extension or conversion

Job Summary

We are seeking a Statistical Programming Analyst III to join our Research & Analysis team in a partially onsite role, responsible for developing and delivering data-driven reports using large healthcare datasets. This role focuses on ensuring data integrity, executing routine monthly reporting processes, and creating ad hoc analyses to meet customer needs through statistical programming and data interpretation using tools such as SAS, SQL, and/or Python, with a transition toward Python and expanded data visualization capabilities.

Key Job Responsibilities:

• Ensure data integrity by validating and supporting monthly data warehouse table loads
• Execute standard and routine reporting processes using updated datasets
• Develop and deliver recurring and ad hoc reports based on customer requirements
• Use statistical programming (SAS, SQL, and/or Python) to extract, manipulate, and analyze large healthcare datasets
• Perform mathematical computations and data interpretation to generate meaningful insights
• Collaborate with internal teams, external vendors, and CMS stakeholders to understand reporting needs
• Translate technical findings into clear, concise reports and documentation for both technical and non-technical audiences
• Create and maintain detailed documentation for reporting processes and outputs
• Support the transition of existing processes to Python and contribute to enhancements in data visualization, dashboarding, and modeling
• Adapt to evolving tools, systems, and requirements within a dynamic contract environment

Job Qualifications:

• Bachelor’s or Master’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field
• Minimum of 4 years of experience in statistical programming or statistical data interpretation
• Strong experience with statistical programming and reporting (SAS, SQL, and/or Python preferred)
• Proficiency with Microsoft Office applications
• Experience working with relational databases and large datasets
• Ability to perform mathematical computations and analyze complex data
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences
• Experience creating clear, detailed documentation for reports and processes
• Ability to work with multiple stakeholders, including external vendors and CMS
• Adaptability to changing tools, technologies, and processes (including transition to Python and new visualization tools)
• Self-motivated, able to work independently, and comfortable solving complex problems with limited direction
• Must meet CMS security clearance and U.S. residency requirements (3 of the last 5 years in the U.S.)

Screening questions:

Do you now or in the future require sponsorship (e.g. H-1B)? Y/N

EEO and ADA Statement:

Consulting Solutions and its family of companies is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at:

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.

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• Manage recurring data operations and reporting: pull data from multiple sources, maintain clean datasets, analyze trends, and deliver weekly or monthly dashboards and readouts in Sheets and Slides
  
• Administer surveys end-to-end (SurveyMonkey, Qualtrics, or similar): build and QA, manage response data, analyze results, and package findings into clear reports and decks
  
• Maintain people operations datasets, including hiring-related tracking and weekly roster updates, ensuring strong data integrity and consistent formatting
  
• Support onboarding administration, including LMS completion reporting, overdue follow-up tracking, and course assignment administration
  
• Build and iterate Tableau dashboards to replace or augment recurring reports, improving self-serve access to metrics and insights
  
• Streamline repeatable work using automation and AI (for example: faster data cleanup, report drafting, and workflow simplification)
  
• Support ad-hoc operational requests as needed (quick analyses, dashboard iteration, Google Sheets troubleshooting, and documentation updates)
  

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• Strong experience with data operations and reporting: pulling data from multiple sources, cleaning and reconciling datasets, analyzing trends, and producing clear recurring reporting
  
• Proficiency in building and maintaining Tableau dashboards (defining metrics, creating views, iterating based on stakeholder feedback)
  
• Advanced Google Sheets skills (dashboards, pivot tables, complex formulas, and scripts) and comfort presenting outputs in Google Slides
  
• Experience administering surveys (SurveyMonkey, Qualtrics, or similar), including survey setup, response management, and results analysis
  
• Experience with administrative operations that require precision and follow-through (tracking, audits, recurring updates, and systems hygiene)
  
• Comfort with LMS administration and reporting (completion reports, tracking overdue items, course assignments)
  
• Experience leveraging AI tools to accelerate analysis and streamline repeatable work; with automation + agent experience (Apps Script, Zapier, Make)
  
• Proven ability to handle sensitive and confidential information with discretion
  
• Ability to navigate ambiguity and shifting priorities, respond well to ad hoc requests, and keep stakeholders informed with clear status updates
  
• Proven ability to work independently with minimal oversight in a remote environment
  
• Availability requirement: able to consistently work 5+ hours on Mondays; remaining hours are flexible within a 10-15 hours per week schedule
  

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

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.

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

Advanced degree or enrolled in an advanced degree program.

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• Advanced degree.
  
• Two years of experience providing reference and instructional services in an academic or professional setting.
  

• 
  
• 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.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• 3-5 required (contact information only)

Help contact:

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
  

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• Photo & Video Capture and Imaging Data Management
  
• Capture high-quality photos and videos using camera devices (primarily smartphone cameras) in both lab environments and real-world scenarios.
  
• Execute image and video analysis tools to evaluate camera performance and generate quantitative and qualitative results.
  
• Manage and maintain imaging databases across multiple Image Quality (IQ) domains, including: Texture and Noise, Color Accuracy, HDR, Exposure, Zoom, Bokeh, Video Quality, Image, Stabilization
  
• Configure and operate Android devices using Android Debug Bridge (ADB) for camera testing and data capture.
  
• Organize captured data through structured folder systems and naming conventions to support multi-device testing workflows.
  

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• Maintain and operate Camera Image Quality evaluation labs located at San Diego campus.
  
• Ensure the lab environment is properly configured for camera testing and data collection.
  
• Support camera engineering teams by maintaining testing equipment, scenes, and workflows.
  

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• Develop and enhance Python-based tools for image quality analysis and evaluation.
  
• Assist in developing evaluation protocols for camera IQ metrics, including texture, color, HDR, exposure, zoom, and video stabilization.
  
• Support development of test scenarios for both lab setups and real-world capture conditions.
  
• Work with tools such as FFmpeg for video analysis and processing.
  
• Assist in building and organizing image/video datasets for machine learning training, including data annotation and labeling.
  

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• Bachelor's degree in Engineering (Electrical Engineering, Computer Engineering, Computer Science, or related field).
  
• Strong interest in camera imaging, photography, or image quality evaluation.
  
• Basic knowledge of Python programming.
  
• Ability to manage large datasets and organize technical data efficiently.
  

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• Experience with image or video processing tools.
  
• Familiarity with Android Debug Bridge (ADB).
  
• Knowledge of MATLAB, Python scripting, or FFmpeg.
  
• Exposure to computer vision, image quality analysis, or camera testing.
  
• Understanding of image datasets used in machine learning workflows.
  

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.

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:

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*PhD (or equivalent international degree)

*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

*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.

• 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.

  
  

• 3 required (contact information only)

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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.

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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.

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