Collaborative Filtering For Implicit Feedback Datasets Jobs in Usa

This position will cross train in commercial refrigeration case maintenance and HVAC preventative maintenance. This is a permanent, full-time position with the largest HVAC preventative maintenance company in the country!

Why Join BFC Solutions?

• Weekly pay

• 401(k) with employer matching

• Health, dental, and vision insurance

• Company vehicle and company-provided cell phone

• Paid time off and 8 paid holidays

• Excellent advancement opportunities

• Paid training

• Tools, uniforms, and supplies provided

What You Will Do:

• Clean and maintain refrigeration and display cases in retail and commercial environments

• Replace air filters and perform basic HVAC maintenance primarily in rooftop air ventilation and HVAC systems for retail and commercial customers

• Work independently with remote supervision and support 

• Use company and customer technology platforms to document work

• Opportunity to transition into a Service Technician role working on HVAC systems and rooftop air ventilation equipment 

 What We Are Looking For:

• Minimum age of 21 (for company vehicle insurance)

• Valid driver’s license with a good driving record

• Comfortable working at heights up to 40 feet and using extension ladders

• Ability to meet OSHA ladder safety requirements

• Weight under 275 pounds due to ladder restrictions

• Ability to work outdoors in all weather conditions

• Ability to lift and carry up to 75 pounds repeatedly

• Willingness to work 45–50 hours per week if needed

• Strong work ethic, integrity, and customer service mindset

• Comfortable using technology and working independently

Preferred Experience:

• Commercial HVAC maintenance

• Construction or roofing work 

• Cable installation or route-based work

• Facility or grounds maintenance

• Delivery, installation, or field service roles

 At BFC Solutions, we value our technicians. From paid training to long-term career growth, you’ll have the support, tools, and opportunities to succeed in a growing industry!

 #ind123

Compensation details: 22-23 Hourly Wage

PI5c9b342d22fa-31181-39945642

Collaborative Real Estate (CRE) develops, manages, and activates innovation districts and research ecosystems at the intersection of universities, research, and entrepreneurship.

As we grow, the strength of our internal systems matters just as much as the strength of our buildings.

We’re hiring a Business System Operations Manager to serve as the internal owner and super user across our portfolio of 12–15 core business platforms. This is not a traditional IT infrastructure role. This is a hands-on systems leadership position focused on making our tools work better for our people.

What You’ll Do

You’ll serve as the internal expert and administrator across systems such as:

• Yardi (property management / ERP)

• Prism

• CRM platforms

• Accounting systems

• Other SaaS tools used across finance, asset management, leasing, marketing, and operations

You will:

• Own system configuration, permissions, and workflows
• Optimize how platforms work together
• Improve data integrity and reporting accuracy
• Support onboarding and user training
• Partner cross-functionally to align systems with business needs
• Manage vendor relationships and platform enhancements
• Identify opportunities for automation and process improvement

What This Role Is Not:

This is not a network engineering, cloud infrastructure, Dev Ops or service administration role.

We partner with external providers for infrastructure and advanced IT. This role focuses on business applications and operational effectiveness.

What We’re Looking For:

• 3+ years managing business systems, ERP platforms, or multi-system SaaS environments
• Experience with Yardi or other property management / ERP systems strongly preferred
• Strong understanding of workflows, system configuration, permissions, and integrations
• Experience supporting cross-functional teams
• Process-minded, detail-oriented, and comfortable owning multiple platforms
• Ability to translate business needs into system solutions

Experience in real estate, property management, or multi-entity environments is a plus.

We’re a growing, entrepreneurial real estate platform. As we scale properties, teams, and services, our internal systems must scale with us. This role builds the operational backbone that enables our teams to move fast, stay aligned, and operate effectively.

This role will function as our internal systems expert, optimizing tools, and sitting at the intersection of operations and technology.

Oracle FDI Developer/Analyst

Contract

Palo Alto, CA (Remote or Hybrid if in SF Bay Area)

This position pays around $60 - $70/hr on W2

Responsibilities:

• Business Discovery & Analysis

-Lead requirements for workshops with FP&A, Accounting & Procurement.

-Translating needs into well-formed user stories, acceptance criteria, and success metrics. Map KPIs/metrics (e.g., revenue, COGS, Opex, cash flow, AP/AR aging, PO cycle times) to source systems and FDI subject areas.

• Data Modeling & Development & Go live (Oracle FDI)

-Design and implement data models, pipelines, and semantic layers within Oracle Finance Data Intelligence (leveraging Oracle subject areas, views, and data products).

-Build/Configure reports, dashboards, and self-service datasets.

-Implement drill paths, prompts/filters, row-level security, and data

entitlements.

-Establish data quality checks & build/maintain documentation

-Conduct UAT and migrate in production environment

• Demos, Enablement & Iteration

-Run demos and showcases with Finance leadership and business stakeholders; collect feedback and iterate fast.

-Create playbooks and training (how-to guides, release notes, KPI definitions) to drive adoption and self-service analytics.

Required Qualifications:

• Hands-on experience implementing and configuring Oracle Financial Data Intelligence (FDI)
• Experience leading requirements gathering sessions with finance stakeholders including FP&A, Accounting, and Procurement
• Strong understanding of financial metrics and KPIs such as revenue, COGS, operating expenses, cash flow, AP/AR aging, and procurement cycle times
• Proven ability to design and build data models, semantic layers, dashboards, and self-service datasets within Oracle FDI
• Experience configuring drill paths, prompts, filters, row-level security, and data entitlements
• Knowledge of Oracle subject areas, views, and data products
• Experience mapping business metrics to source systems and reporting structures
• Ability to establish data quality checks and validation processes
• Experience conducting user acceptance testing and managing production migrations
• Strong documentation skills covering data models, configurations, and processes
• Ability to create training materials, playbooks, and how-to guides for end users
• Excellent communication skills with the ability to present to finance leadership and business stakeholders
• Ability to work autonomously with minimal supervision
• Strong organizational and prioritization skills

Preferred Qualifications:

• Experience with Oracle Cloud Financials (General Ledger, Accounts Payable, Accounts Receivable, Procurement)
• Familiarity with Oracle Analytics Cloud, OTBI, or Oracle Business Intelligence
• Background working directly with FP&A teams on budgeting, forecasting, or financial planning processes
• Experience with data integration tools or Oracle Integration Cloud
• Prior experience in a consulting or systems integrator environment
• Background working in multinational organizations or with global finance teams
• Experience driving self-service analytics adoption across an organization
• Knowledge of Agile methodologies and iterative delivery practices CBAP , PMP , or Oracle certifications

Core Competencies:

• Analytical Thinking: Ability to break down complex business problems, identify root causes, and develop structured solutions
• Technical Aptitude: Comfort working hands-on with data models, configurations, and reporting tools while understanding underlying data structures
• Business Acumen: Strong understanding of finance and accounting processes, terminology, and how data supports decision-making
• Communication: Ability to convey technical concepts to non-technical audiences and translate business needs into technical requirements
• Stakeholder Management: Skill in building relationships, managing expectations, and engaging effectively with finance leadership and cross-functional teams
• Attention to Detail: Commitment to data accuracy, documentation quality, and thorough testing
• Adaptability: Ability to iterate quickly based on feedback and adjust to evolving priorities
• Ownership & Accountability: Self-directed approach with a strong sense of responsibility for outcomes and deliverables
• Enablement Mindset: Focus on empowering end users through training, documentation, and self-service capabilities
• Collaboration: Ability to work effectively with technical and business teams across functions and geographies

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

Job Title: Sr AI Platform Engineer- AI Platform Engineer (Guardrails, Observability & Evaluation Infrastructure)

Location, Charlotte, NC, USA (3 days onsite)

Role Overview

AI Platform Engineer to design and build the foundational components that power enterprise scale GenAI applications. This includes data guardrails, model safety tooling, observability pipelines, evaluation harnesses, and standardized logging/monitoring frameworks. This role is critical for enabling safe, reliable, and compliant AI development across multiple use cases, teams, and business units. Idea is to create the common platform services that AI team will build upon.

Key Responsibilities

1. Guardrails, Safety & Governance

• Design and implement data guardrail frameworks (pre processing, redaction, PII/PHI filtering, DLP integration, prompt defenses).

• Build "Model Armor" components such as:

o Input validation & sanitization

o Prompt injection defenses

o Harmful content detection & policy enforcement

o Output filtering, fact checking, grounding checks

• Integrate safety tooling (policy engines, classifiers, DLP APIs, safety models).

• Collaborate with Security, Compliance, and Data Privacy teams to ensure frameworks meet enterprise governance requirements.

2. Observability Frameworks

• Build and maintain observability pipelines using tools like Arize AI (tracing, quality metrics, dataset drift/hallucination tracking, embedding monitoring).

• Define and enforce platform wide standards for:

o Tracing LLM calls

o Token usage and cost monitoring

o Latency and reliability metrics

o Prompt/model version tracking

• Provide reusable SDKs or middleware for engineering teams to adopt observability with minimal friction.

3. Logging, Monitoring & Telemetry

• Design standardized LLM-specific logging schemas, including:

o Inputs/outputs

o Model metadata

o Retrieval metadata

o Safety flags

o User context and attribution

• Build monitoring dashboards for performance, cost, anomalies, errors, and safety events.

• Implement alerting and SLOs/SLIs for LLM inference systems.

4. Evaluation Infrastructure

• Architect and maintain evaluation harnesses for GenAI systems, including:

o RAG evaluation (faithfulness, relevance, hallucination risk)

o Summarization/QA evaluation

o Human-in-the-loop review workflows

o Automated eval pipelines integrated into CI/CD

• Support frameworks such as RAGAS, G Eval, rubric scoring, pairwise comparisons, and test case generation.

• Build reusable tooling for teams to write, run, and track model evaluations.

5. Platform Engineering & Reusable Components

• Develop shared libraries, APIs, and services for:

o Prompt management/versioning

o Embedding pipelines and model wrappers

o Retrieval adapters

o Common data loaders and document preprocessing

o Tool/function schemas

• Drive consistency across teams with standards, reference architectures, and best practices.

• Review system designs across use cases to ensure alignment to platform patterns.

6. Collaboration & Enablement

• Partner with AI engineers, product teams, and data scientists to understand cross cutting needs and convert them into reusable platform features.

• Create documentation, onboarding guides, examples, and developer tooling.

• Provide internal training (brown bags, workshops) on guardrails, observability, and evaluation frameworks.

Required Qualifications

Technical Skills

• 5–10+ years software engineering or ML infrastructure experience.

• Strong Python engineering fundamentals (FastAPI, async, typing/Pydantic, testing).

• Experience with model safety/guardrails approaches (prompt injection defense, PII redaction, toxicity filters, policy enforcement).

• Hands on with Arize AI, LangSmith, or similar LLM observability platforms.

• Experience creating evaluation frameworks using RAGAS, G Eval, or custom rubric systems.

• Strong familiarity with vector databases (Pinecone, Weaviate, Milvus), embeddings, and retrieval pipelines.

• Solid understanding of LLM architectures, tokenization, embeddings, context limits, and RAG patterns.

• Experience in cloud (GCP preferred), Kubernetes/GKE, containers, and CI/CD.

• Strong understanding of security, governance, DLP, data privacy, RBAC, and enterprise compliance requirements.

Soft Skills

• Strong documentation and communication skills.

• Ability to influence engineering teams and standardize best practices.

• Comfortable working across multiple stakeholders—platform, security, ML engineering, product.

Nice to Have

• Experience with LangChain/LangGraph or LlamaIndex orchestrations.

• Experience with , Rebuff, Protect AI, or similar LLM security tooling.

• Experience with GCP Vertex AI pipelines, Model Monitoring, and Vector Search.

• Familiarity with knowledge graphs, grounding models, fact checking models.

• Building SDKs or developer frameworks adopted across multiple teams.

• On prem or hybrid AI deployment experience.

Role Summary

BrickRed Systems is seeking an experienced QA Engineer specializing in testing LLM agents and AI-driven workflows. This role focuses on evaluating agentic behavior, safety, reliability, grounding, automation quality, and deterministic vs. non-deterministic outcomes across advanced AI pipelines. You will collaborate closely with engineering, product, and AI research.

Key Responsibilities

• Design and execute comprehensive test strategies for LLM agents, agentic workflows, multi-step planners, and tool-using AI systems
• Implement Eval-Loops for continuous, automated evaluation of model performance, drift, consistency, and safety
• Build and maintain Golden Datasets to benchmark model accuracy, grounding, and regression behavior
• Use hill‐climbing evaluation techniques to iteratively improve prompts, policies, and model outputs
• Evaluate and test safety shield models (e.g., ShieldGemma) for content filtering, policy enforcement, and guardrail robustness
• Perform adversarial testing against hallucinations, ungrounded responses, safety violations, and reasoning failures
• Develop automation harnesses using Python, REST APIs, LangChain, PromptFlow, and LLM evaluation frameworks
• Assess agent behaviors across variations in prompts, contexts, tools, and reasoning paths
• Analyze responses for factuality, coherence, instruction-following, policy adherence, and chain-of-thought integrity (when applicable)
• Document findings, build structured bug taxonomies, and partner with engineering teams to resolve issues
• Drive improvements in reliability, latency, determinism, and consistent execution of multi-step agent behaviors

Required Technical Skills

• Strong QA experience (manual + automation) with AI/ML, LLMs, or agentic systems
• Hands-on experience with Python, automation frameworks, evaluation scripts, REST/JSON APIs
• Familiarity with LLM platforms (Azure OpenAI, OpenAI, Anthropic, Google Gemini, etc.)
• Experience with evaluation frameworks such as:
• PromptFlow evaluations
• DeepEval / Ragas / Trulens
• LangChain LCEL evaluations
• Custom scoring functions for grounding, correctness, toxicity, etc.
• Experience using or testing safety-shield models (e.g., ShieldGemma or similar)
• Understanding of techniques such as:
• Hill climbing optimization
• Agent loop testing
• Determinism scoring
• Self-reflection / self-correction evaluation
• Guardrail stress testing
• Scenario-based reasoning tests
• Strong analytical and problem‐solving skills for non-deterministic system behavior
• Excellent documentation, communication, and cross-team collaboration skills

About Brickred Systems:

Brickred Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. Brickred Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence.

With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Title: GIS Analyst

Terms: Long Term Contract

Location: Atlanta area

HYBRID ROLE

Must Live in Atlanta, GA

Must go onsite for the interview

4 days a week onsite once you start the role. One day a week from home

Open to 3rd party at this time

MAX PAY RATE is $40/hr Corp to Corp

Are you looking for a career opportunity that allows you to grow your career? If so, this opportunity will genuinely excite you! Our client is transforming how their organization services their customers while aligning best in breed technology solutions. We are looking for a GIS Analyst who will help build out & develop best in class work and work on innovative projects for the business.

Job Title: GIS Analyst

Job Summary:

We are seeking a detail-oriented and technically skilled GIS Analyst to support geographic data management, spatial analysis, and mapping projects across the organization. The ideal candidate will collect, analyze, and interpret spatial data to support planning, operations, environmental monitoring, and decision-making activities. This role involves collaboration with internal teams, stakeholders, and external agencies to provide accurate, high-quality geographic data and mapping solutions.

Key Responsibilities:

• Create, maintain, and update GIS datasets, maps, and geodatabases using ESRI ArcGIS and related tools.
• Perform spatial analysis, modeling, and data visualization to support organizational planning and operational decision-making.
• Design and develop web maps and GIS dashboards using tools such as ArcGIS Online, ArcGIS Pro, and ArcGIS Enterprise.
• Conduct data gathering and conversion from a variety of sources including GPS, CAD, databases, and field surveys.
• Ensure data accuracy, integrity, and compliance with organizational and industry standards.
• Collaborate with stakeholders to understand GIS needs and deliver customized maps and reports.
• Support integration of GIS with enterprise applications (e.g., asset management, permitting, work order systems).
• Document workflows, metadata, and processes for data governance and future use.
• Train staff on basic GIS tools and data usage when needed.

Required Qualifications:

• Bachelor's degree in Geography, Geoscience, Environmental Science, Urban Planning, Computer Science, or related field.
• 2+ years of hands-on experience with ESRI ArcGIS Suite (ArcGIS Pro, ArcMap, ArcGIS Online, etc.).
• Proficiency in spatial data management, geoprocessing tools, and map creation.
• Experience with geodatabases (file, enterprise) and SQL-based data querying.
• Ability to analyze complex spatial data and present findings clearly.
• Working knowledge of GPS data collection, geocoding, and coordinate systems.

Preferred Qualifications:

• Experience with Python scripting, Arcade expressions, or ModelBuilder for automation.
• Familiarity with ArcGIS Enterprise Portal and ArcGIS Server.
• Exposure to remote sensing, aerial imagery, and LiDAR data processing.
• Knowledge of cartographic principles and visual storytelling with maps.
• Experience with other GIS platforms (QGIS, Mapbox, Google Earth Engine) is a plus.
• Any experience with PTC(positive train control) is a big plus

Soft Skills:

• Strong analytical thinking and attention to detail.
• Excellent written and verbal communication skills.
• Ability to manage multiple tasks and prioritize effectively.
• Comfortable working independently and in cross-functional teams.

About GSquared Group:

Shouldn't your recruiting partner put as much effort and value into your career as you do? With GSquared Group, we take the time to understand where you would like to take your career and what is important to you.

GSquared Group is a woman-owned boutique technology services company in the Atlanta area. Founded in 2010, we are a premier provider of IT talent search, management consulting, and software development services. We support a diverse client base that spans all industries and includes Fortune 100 to mid-market companies. We offer direct hire placement, contract, and contract-to-hire positions. We are proud to be known by our community for putting relationships at the core of everything we do.

GSquared Benefits:

• Competitive & Comprehensive Healthcare Package (available only for W2 hourly consultants)
• Simple IRA with company match (available only for W2 hourly consultants)
• Professional development & networking opportunities
• A family-friendly environment
• Nice bonuses for referrals
• A culture that supports you and your career

Hear what others are saying on Glassdoor:

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

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.

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:

PhD (or equivalent international degree)

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.

*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.

• 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.

  
  

• 3 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
  

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.

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/

*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 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

• 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

  
  

• 3 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