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About the Team

The Scaling Laws group within Architecture works to advance our foundational understanding of our deep learning stack. We study the algorithmic scaling behavior across architecture, optimization, and data. Besides leading directly to capabilities improvements, this work underpins OpenAI's ability to carry out other research through predictive scaling laws, correct experimental methodology, and evaluations.

About the Role

As a Research Scientist here, you will be responsible for conducting investigations and developing principled theories that predict algorithmic scaling behavior. You will build and apply theoretically-grounded intuitions, design and execute careful experiments, think deeply about hyperparameters, and deliver improvements across all aspects of our algorithms.

You might thrive in this role if:

• You have a background in statistical machine learning, physics, mathematics, or another theoretically and empirically rigorous field.
• Or, you have a strong track record in deep learning research demonstrating an expert knowledge of deep learning algorithms (objectives, architecture, optimization).
• You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time.
• You are a capable programmer and are comfortable implementing novel deep learning algorithms correctly and autonomously.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Title: Network Security Consultant

Position Overview:
We’re looking for an experienced Level 3 Network Engineer with deep technical expertise in LAN, WAN, security, and SD-WAN environments. The right candidate will bring a solid background in Cisco ACI (Application Centric Infrastructure) and have a proven track record of supporting complex enterprise network environments. This is a hands-on engineering role focused on performance, reliability, and secure infrastructure management.

Key Responsibilities:

• Design, implement, and support enterprise-grade LAN/WAN and SD-WAN networks
• Administer and troubleshoot Cisco ACI fabric, ensuring smooth network operations
• Perform network performance analysis, traffic engineering, and optimization
• Lead incident resolution for escalated network issues and perform root cause analysis
• Maintain strong documentation including network diagrams, SOPs, and change logs
• Collaborate with cross-functional teams including security, infrastructure, and application teams
• Ensure security best practices are applied across all network layers
• Participate in capacity planning and infrastructure upgrades
• Support change management and service delivery within established SLAs

Required Skills & Qualifications:

• 10+ years of experience in network engineering roles with increasing responsibilities
• Strong technical expertise in LAN/WAN, routing, switching, and SD-WAN technologies
• Hands-on experience with Cisco ACI environments (configuration, monitoring, troubleshooting)
• Solid understanding of network security concepts and tools
• Familiarity with enterprise monitoring and management platforms
• Excellent troubleshooting skills and the ability to handle high-priority incidents independently
• Strong communication and documentation skills
• Relevant certifications such as CCNP, CCIE, or equivalent needed

Title: Business Data Analyst
Location: Hybrid

Top Skills:
Needing a 5+ years BA with background in consumer banking and marketing > If they have general banking, they'd still consider them

SQL is required.

SAS and Python are nice to have

Background in cloud technology is a nice to have
Someone familiar with Data Mapping and ability to fish through defects
Having test case management

Job Description:
Job Brief: Join the Enterprise Mart Delivery squad as IT Business Analyst within Enterprise Data and Information Services (EDIS)!  Be part of a team that is focused on building robust enterprise data pipelines to support reporting, analytics, and business insights that drive critical business decisions. The IT Business Analyst is a team member, leading efforts to provide business analysis and program/project support for the development, enhancement and quality assessment, and ongoing provision of various Lines of Business [LOB(s)]. This role influences a cross-functional team for improving the customer, client and employee experience by digitizing and streamlining services offered through end-to-end process optimization in support of strategic initiatives.
ESSENTIAL JOB FUNCTIONS
·       Collaborates with stakeholders to gather requirements, create related documentation, and complete attribution mapping details for data elements from the source systems to the target Transaction Data Mart (TDM), prospects, householding, household aggregation, and various specialty marts within data supply chain (DSC).

• Identify and capture requirements for highly complex standards, processes, system and/or multiple systems across multiple stakeholders; understands and applies the Agile PLC/SDLC to the execution of deliverables.
• Develop and refine stories to translate business requirements into actionable technical requirements and stories which enable the development team.
• Be a Subject Matter Expert on the team's business solutions and technical platform capabilities.
• Support the development and maintenance of product backlog to allow prioritization and planning to support business objectives and align to the roadmap.
• Support and/or participate in user acceptance testing as applicable to ensure quality in application releases and user experience.
• Actively contributes to the creation, facilitating, managing, and recommending training for all aspects of support the team provides.
• Advises on security, risk management, and IT process principles and escalate to appropriate team(s) as needed.  Partners effectively with security and risk teams to ensure tech portfolio changes adhere to standards.
• Support and/or participate in user acceptance testing to ensure quality in application releases and user experience.
• Understands security, risk management, and IT process principles and escalate to appropriate team(s) as needed.

REQUIRED QUALIFICATIONS

• Education: Master's Degree and 3+ years data analytics experience, Bachelor's Degree and 6+ years data analytics experience, or equivalent military/work experience.
• Experience with Agile methodologies, particularly Scrum.
• Experience agile tools particularly Jira, Confluence.
• Experience with working in Information Technology and the banking sector.
• Excellent analytical, written, and oral communication, Strong presentation skills.

PREFERRED SKILLS / QUALIFICATIONS

• Ability to facilitate cross functional meetings to accomplish objectives or resolve issues.
• Ability to support multiple projects, tasks, and responsibilities concurrently.
• Ability to meet deadlines and ensure others meet deadlines with minimal oversight.

Additional Links:

• This position is Benefit eligible; click here for an overview of available benefits.
• This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
• This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
• UConn Health

PURPOSE OF CLASS:

At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.

**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa's or candidates that cannot relocate to Connecticut at this time.

SUPERVISION RECEIVED:

Works under the general supervision of a higher grade.

EXAMPLES OF DUTIES:

Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;

Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;

Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;

Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;

Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;

Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;

Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;

Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;

Performs other related duties as required.

KNOWLEDGE, SKILLS AND ABILITIES:

Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;

Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;

Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;

Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;

Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;

Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;

Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;

Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;

Proven ability to communicate complex data analytics using clear and concise methods and presentation media.

EXPERIENCE AND TRAINING:

GENERAL EXPERIENCE:

Six (6) years of experience in a healthcare data analytical role.

SUBSTITUTION ALLOWED:

Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.

PREFERRED QUALIFICATIONS:

Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.

Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.

Experience with Epic electronic medical records platform.

Experience with data analytics related to value-based programs.

SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.

Why UConn Health

UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

Additional Links:

• This position is Benefit eligible; click here for an overview of available benefits.
• This position is covered by the UHP Bargaining Unit and is in salary group UHP-09; click here to review the current UHP Pay Plan.
• This position is covered by the UHP Bargaining Unit; click here to review the current UHP Contract.
• UConn Health

PURPOSE OF CLASS:

At UConn Health, this class is accountable for organizing and managing large and varied data sets; analyzing complex data to optimize business operations and identify trends for improvement; and communicating findings into meaningful understanding using data visualization and detailed reports.

**Please note, this position requires you on-site at our Farmington, Connecticut location and does not accept visa's or candidates that cannot relocate to Connecticut at this time.

SUPERVISION RECEIVED:

Works under the general supervision of a higher grade.

EXAMPLES OF DUTIES:

Compiles and organizes large datasets from various sources, including electronic health records, patient charts, multiple administrative databases, patient surveys, and other pertinent sources;

Builds and maintains a valid, accurate and uniformed data repository to ensure data integrity and availability of appropriate data for evaluation needs;

Writes code from various sources to process raw data elements into metrics for analysis; selects and filters relevant information from multiple sources;

Applies critical thinking and logic to construct data sets to achieve accurate comparisons to benchmarks;

Collaborates with stakeholders to identify objectives and goals of analysis; coordinates and prioritizes analytic projects; manages and executes projects within targeted timelines;

Performs advanced statistical analyses to identify patterns and trends and opportunity assessments to assist in delivering optimal healthcare management and decision making;

Designs data visualizations and determines the best way to present data in a clear understandable format using reports, drilldowns, tables, gauges, graphs, charts and other intuitive graphical add-ons;

Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations;

Performs other related duties as required.

KNOWLEDGE, SKILLS AND ABILITIES:

Considerable knowledge of health care industry standards and practices in descriptive/predictive analytics and reporting concepts;

Applied knowledge of statistical analyses including opportunity assessments, clinical and financial risk tracking, trend identification and predictive modeling exercises;

Advanced knowledge and proficiency of data management applications, Microsoft Office suite, data visualization tools, reporting tools, database programming languages, and related software and other applications;

Advanced knowledge in importing data for use in report software, spreadsheets, graphs and flowcharts;

Strong analytical, mathematical, creative problem-solving and critical thinking skills with attention to detail;

Excellent verbal and written communication skills with considerable knowledge of proper grammar, punctuation and spelling;

Considerable interpersonal and collaboration skills with the ability to interact effectively in a team environment as well as independently;

Detailed oriented, excellent organizational, planning and prioritizing skills with flexibility and adaptability in a variety of work situations;

Proven ability to communicate complex data analytics using clear and concise methods and presentation media.

EXPERIENCE AND TRAINING:

GENERAL EXPERIENCE:

Six (6) years of experience in a healthcare data analytical role.

SUBSTITUTION ALLOWED:

Bachelor's degree in computer science, information management systems, healthcare, mathematics, statistics or related field and two (2) years of experience may be substituted for general experience.

PREFERRED QUALIFICATIONS:

Proficiency in data engineering, analytics and visualization tools and techniques including SQL (complex queries, functions and stored procedures), Python, R and Tableau.

Minimum 2 years of experience with medical informatics, data engineering, data mining, machine learning, data ETL, optimization, and report extraction, using electronic health record data.

Experience with Epic electronic medical records platform.

Experience with data analytics related to value-based programs.

SCHEDULE: This position is full-time, Monday-Friday, 8:00am-5:00pm.

Why UConn Health

UConn Health is a vibrant, integrated academic medical center that is entering an era of unprecedented growth in all three areas of its mission: academics, research, and clinical care. A commitment to human health and well-being has been of utmost importance to UConn Health since the founding of the University of Connecticut schools of Medicine and Dental Medicine in 1961. Based on a strong foundation of groundbreaking research, first-rate education, and quality clinical care, we have expanded our medical missions over the decades. In just over 50 years, UConn Health has evolved to encompass more research endeavors, to provide more ways to access our superior care, and to innovate both practical medicine and our methods of educating the practitioners of tomorrow.

Junior Security Engineer

Your work matters to millions.

Shaping culture is in the DNA of ITV. So, it’s not surprising that you’ll find us in every home in the UK, our productions are famous all over the world and we’re at the forefront of the digital streaming revolution.

When you join us, you enter a fun working environment. With opportunities to learn, to grow and make a real difference. Small enough that your impact’s felt in the business, but big enough that your impact reaches millions of people.

Come develop your skills, change TV and the course of your career. Don’t just watch it. Be part of it. Join ITV.

The role

This is a hands-on role working with the latest technologies to help design, build, operate and maintain the in-house developed services the Cyber Security team provide to the business, as well as supporting the implementation of commercial tooling.

Skills you’ll need (minimum criteria)

• Understanding of cloud native applications best practices such as using infrastructure-as-code.
• Basic understanding of security controls (e.g. IAM) within cloud environments
• Knowledge of common security weaknesses and associated mitigations within modern applications
• Ability to pragmatically suggest security controls
• Good personal communications style in line with ITV's culture
• Work autonomously and in a team, be inquisitive and demonstrate initiative in identifying and resolving problems across the business

Other things we’re looking for (key criteria)

• Using programming languages to develop serverless functions to interact with security services
• Creating event-driven architectures within AWS using infrastructure-as-code tooling
• Responding to notifications of system failure to identify and remediate issues for Security Engineering’s developed services
• Integration commercial security tooling into ITV’s technology estate
• Proactively identifying risks to our cloud environments and implementing mitigations
• Identifying and suggesting security improvements that can be made to technologies, processes, and new initiatives
• Feeding into the plan and strategy for delivering cyber awareness training and cyber events across ITV

ITV is for everyone.

ITV strongly encourages applications for this role from disabled people. As a Disability Confident Leader, if you meet the minimum criteria for a role and you have declared that you are disabled, we’ll guarantee to take you to the next stage* (minimum criteria above).

ITV offers some great rewards and benefits including:

• Flexible working with a range of options
• Generous holiday allowance, plus you can buy more
• Annual bonus opportunity
• Competitive pension contribution
• Save as you earn - with an opportunity to buy ITV shares
• Wellbeing and volunteering days plus a wide range of opportunities to help you live a balanced and healthy life

Title: Database Migration Engineer
Location: Remote

Job Description:

We are seeking a skilled Database Migration Engineer to support the migration of on-premises Oracle and SQL Server databases to AWS Cloud database platforms. The ideal candidate will also provide occasional support for our GCP infrastructure platform. This role requires a strong understanding of various IT subject areas, infrastructure technologies, and application development methodologies.

Specialized Knowledge & Skills:
• Solid understanding of Bootstrap framework.
• Cloud Services:
• Demonstrated experience with AWS services, including but not limited to KMS, Glue Catalog, Athena, IAM, S3, Logging (EMR, EC2, RDS).
• Experience with GCP infrastructure platform.
• Operating Systems:
• Proficient in Linux operating systems.
• Data Management:
• Knowledge and understanding of ETL processes and Informatica.
• Strong experience in debugging, identifying root causes, and solving application issues.
• Database Administration:
• 5+ years of experience in a DBA role, configuring and supporting multiple database platforms (PostgreSQL, MySQL, MS SQL Server, Oracle).
• Experience in provisioning, upgrading, and tuning database services.
• Familiarity with provisioning new database services, especially for production deployments.
• Ability to provide guidance for efficient application design using database managed services.
• Involvement in tuning exercises affecting application performance.
• Review DDL prior to deployment if requested by the application team, without managing DDL on behalf of the application team.

Qualifications:
• 5+ years of experience in a DBA role, configuring and supporting a wide range of database platforms (Oracle, PostgreSQL, MySQL, MS SQL Server).
• 5+ years of experience with cloud services (AWS, GCP).
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and collaboration skills.

Job Title: Oracle Core Finance Tester

Location: Remote

Responsibilities:

· Test Oracle ERP Cloud Core Finance modules (R2R, A2R).

· Develop and execute test cases, scripts, and scenarios.

· Perform integration and functional testing.

· Log defects and work with teams to resolve issues.

· Ensure system accuracy and compliance with business needs.

· Knowledge of R2R and A2R processes.

· Experience with test management tools (Jira, ALM).

2020 Companies is now hiring a full-time remote Data Quality Assurance Analyst

The Data Quality Assurance Analyst plays a vital role in ensuring the accuracy, integrity, and reliability of data flowing through our systems which is ultimately used for critical internal and external reporting. This individual will collaborate closely with the I/S and business analytics teams to implement and maintain robust data quality processes, identify and resolve data discrepancies, and contribute to a culture of data-driven decision-making.

What's in it for you?

• Work remotely
• Competitive annual salary, paid weekly
• Next day pay on-demand with DailyPay
• Health/Dental/Vision benefits
• 401K Program with matching
• Paid Time Off
• Paid Holidays
• $30 Mobile Reimbursement
• Scholarship opportunities for employees and direct family members
• Employee Assistance Program
• Leadership Development Program

About 2020 Companies

At 2020 Companies, we work for you. As a long-standing partner with many world-renowned clients in the wireless and consumer electronics sectors, we provide talent who personally connect with our consumers by inspiring participation, creating a memorable brand experience, and influencing future purchase decisions to form customers forever.

Job Description

Essential Duties and Responsibilities

Data Quality Assurance

• Develop, implement, and maintain comprehensive data quality assurance processes, including data profiling, data validation, and data cleansing.
• Collaborate with I/S and business analytics teams to establish data quality standards, metrics, and KPIs.
• Conduct regular data audits and assessments to identify and address data quality issues.
• Develop and execute test cases to ensure data accuracy throughout the data lifecycle.
• Monitor data ingestion, calculations, manipulation, and outputs within Salesforce to ensure data integrity.
• Work with stakeholders to define and implement data quality improvement initiatives.

Data Analysis And Reporting

• Analyze complex data sets to identify trends, patterns, and anomalies.
• Generate reports and visualizations to communicate data quality findings and recommendations to stakeholders.
• Collaborate with business users to understand data requirements and ensure data quality meets their needs.
• Support the development of data-quality dashboards and scorecards.

Collaboration And Communication

• Build and maintain strong working relationships with I/S, business analytics, and other key stakeholders.
• Facilitate effective communication and collaboration across teams to promote data quality awareness and best practices.
• Provide training and support to users on data quality processes and tools.

Continuous Improvement

• Stay abreast of industry best practices and emerging trends in data quality management.
• Research and evaluate new data quality tools and technologies.
• Proactively identify opportunities for process improvement and automation.

Qualifications

Education and Experience:

• Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
• 3+ years of experience in data quality assurance or a related role.
• Strong understanding of data management principles, data warehousing, and ETL processes.
• Experience working with Salesforce or other CRM systems is preferred.
• Proficiency in SQL and data analysis tools.
• Experience with data visualization tools (e.g., Power BI) is recommended.

Skills And Abilities

• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective communication and collaboration skills.
• Ability to work independently and as part of a team.
• Ability to manage multiple priorities and meet deadlines.
• Proactive and results-oriented approach.

What You Can Expect From 2020 Companies

We welcome every voice, and we are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We are always identifying opportunities to encourage our team to be their authentic selves, while working to provide a best-in-class experience for our employees. Whether that’s paid holidays, long-term career pathing options, personal development opportunities or professional stretch assignments, you can expect 2020 Companies to support you.

2020’s Commitment

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.

Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained.
The Fragiadakis (Data Science) and Combes (Disease to Biology) Labs, are seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As a member of the lab, you will learn the analysis methods, as well as the conceptual and biological background, to analyze -omics datasets such as CyTOF, single-cell sequencing, and spatial transcriptomics. Once comfortable with these methods, under direct supervision, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in lab meetings.
We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, to develop better disease diagnosis and treatments. As a member of our labs, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is jointly offered by Dr. Alexis Combes and Dr. Gabriela Fragiadakis, who both direct CoLab teams that often collaboratively pursue questions of immune state using single-cell methods, providing an environment of wet-lab and computational biologists with whom to work.
While this position requires some proficiency in programming and data analysis, candidates who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects can be successful in this role. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping-stone for a graduate program or career in bioinformatics, computational biology, or data science.The final salary and offer components are subject to additional approvals based on UC policy.Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.The salary range for this position is $67,000 - $143,800 (Annual Rate).To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Department Description

CoLabs is a new model for research collaborations for the UCSF community. CoLabs centralizes research teams and creates a set of common pipelines and workflows. It recruits and retains world class staff and trainees and develops transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is comprised of five labs: Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs help organize and integrate the UCSF community through common pipelines and data curation and pursue a set of collaborative "CoProjects" that tackle fundamental questions in the biomedical research. CoProject day-to-day operations are managed and run through the CoLabs.

Required Qualifications

• Bachelor's degree in biological science, computational / programming (bioinformatics, computational biology, statistics, computer science, engineering), or related area and / or equivalent experience / training.
• Knowledge in a programming language such as R. Python, or similar programming languages.
• Knowledge in flow/mass cytometry and/or bulk/Single-cell RNAseq
• Basic knowledge of biology
• Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
• Ability to communicate technical information in a clear and concise manner.
• Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.

Preferred Qualifications

• Basic knowledge of the execution and optimization of biological pipelines.
• Basic knowledge of databases.
• Basic project management skills.
• Basic knowledge of GitHub or equivalent

About UCSF

The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values.

In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Organization

Campus

Job Code and Payroll Title

009403 BIOINFORMATICS PROGR 1

Job Category

Professional (Non-Clinical)

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us to start Caring. Connecting. Growing together.

We invite you to bring your performance, ideas and innovations to an elite team within a culture built for collaboration. At UnitedHealth Group, we seek individuals who have the ability to drive change, take appropriate risks and influence individuals at all levels of the organization. We are seeking a talented and driven Senior Data Scientist to join our high performing Medicare and Retirement Government Quality Programs team, focusing on improving member experience and driving performance in CAHPS (Consumer Assessment of Healthcare Providers and Systems) star measures. In this role, you will leverage cutting-edge technologies, advanced statistical methods, and machine learning techniques to deliver actionable insights and recommendations that influence key organizational decisions. As a subject matter expert, you will collaborate with cross-functional teams to design and implement analytical solutions that optimize healthcare outcomes and transform the member experience. As a subject matter expert, the data scientist will recommend best approaches to transform the healthcare industry. Join us.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Perform advanced data analytics to identify insights that can be incorporated into strategic recommendations for improving member health care experience
• Work in a cross-disciplinary environment to embed analytics into strategies that address business problems through data-driven solutions
• Develop solid relationships with stakeholders to define business questions, develop hypotheses and design experiments to improve member outcomes
• Clearly communicate complex findings and make recommendations to non-technical stakeholders
• Support data acquisition and integration necessary to execute analytics projects
• Understand and explain drivers of survey outcomes
• Bring disparate data together with knowledge of health care and government policy to develop and communicate sound business recommendations to leaders throughout the organization
• Provide guidance to junior level data scientists on best practices and methodologies
• Self-motivated and demonstrates an innate ability to absorb new concepts, technical frameworks, program paradigms while employing them creatively to solve complex analytical problems
• Critical thinker- this position will need to evaluate merits of new and innovative ideas and make sound decisions

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• 4+ years of professional experience in developing analytical solution using techniques such as machine learning, text mining/analysis, simulations, hypothesis testing, etc.
• 3+ years of professional experience with programming languages
• 3+ years of professional experience applying data analysis to solve business problems
• 2+ years of professional experience communicating analytic results to stakeholders

Preferred Qualifications:

• • • Experience with Medicare Advantage products or the healthcare industry
    • Experience working with survey data
    • Proven solid communicator - this role will need to be comfortable presenting program objectives, process, and performance in multiple setting
  Proven solid relationship building skills with internal and practice teams to drive goal alignment

The salary range for this role is $89,800 to $176,700 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.

Embrace the NCR Atleos Internship Experience.

Ready to turn your summer into a career launchpad?

Our mission is simple, we want you to thrive.

Join us for our full-time, paid Internship opportunities at our Dundee research hub from late May to August, and dive into real projects, solve challenges, and get a taste of life at NCR Atleos.

Are you currently pursuing a Business, Finance or similar university degree?

If you're the kind of individual who thrives on untangling complex issues and crafting pragmatic solutions, then we're eager to have you on board.

Previous experience isn't a necessity; what matters most is your passion for taking on new challenges and willingness to learn.

Who we are:

Our Finance team in Dundee is a globally focused group covering a wide range of Finance and Accounting functions, including Financial Planning and Analysis for Sales, Manufacturing, Product and Services teams, Controllership & Accounting, and Corporate Treasury.

Since 1884, NCR Atleos has been at the forefront of the transactions that run the world around us. From local credit unions to the most sophisticated banks and retailers on the planet, NCR Atleos powers the technology that makes your everyday easier.

Offers of employment are conditional upon passage of screening criteria applicable to the job.

EEO Statement
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

What you can expect

Zoom's Cyber Threat Intelligence team is seeking a remote Senior Analyst. This person will monitor the evolving threat landscape and deliver operational assessments that provide real-time awareness of global cyber threats to Zoom. The ideal candidate has a good understanding of intelligence tradecraft. They also bring solid technical skills in threat research, analysis, and reporting to help peer teams and leadership understand Zoom's cyber threat environment. A successful candidate is impact-driven, communicates effectively, and builds solid relationships with stakeholders and peer teams.

About the Team

The Threat Intelligence team plays a critical role in identifying, analyzing, and responding to a broad range of security threats across the organization. The team focuses on both physical and cyber domains, including risk analysis, insider threats, malware, and emerging threat actors. Their work helps safeguard our people, assets, and technology from evolving global risks.

Responsibilities

• Providing real-time awareness, early warning, and operational readiness to defend Zoom against global cyber threats
• Developing and maintaining adversary profiles and mapping threat activity using frameworks such as MITRE ATT&CK, Cyber Kill Chain, and Diamond Model
• Performing technical threat intelligence analysis to collect, enrich, and evaluate threat information to identify malicious activity and support detection and response efforts
• Researching, writing, and disseminating intelligence products using structured analytic techniques tailored to both technical and non-technical stakeholders
• Delivering briefings, presentations, and written reports to senior and executive leadership to inform strategic decision-making and drive security recommendations
• Identifying collection gaps and employing intelligence-gathering methods across open and closed sources
• Working closely with peer security teams to provide contextual threat intelligence, triage potential incidents, and assess the impact of threats to Zoom. Building and maintaining intelligence-sharing partnerships with internal and external stakeholders.
• Collaborating with cross-functional security teams to provide timely, actionable threat intelligence that enhances Zoom's defensive posture and drives leadership decision-making

What we’re looking for

• Have extensive experience in cyber threat intelligence, threat hunting, or related cybersecurity discipline within an operational and tactical setting.
• Have a good technical understanding of attacker tradecraft, common attack vectors, and tactics, techniques, and procedures attackers use to propagate across systems and networks
• Have proven experience in research, writing, and publishing analytic reports for both technical and non-technical audiences
• Possess good knowledge and hands-on experience with threat intelligence frameworks. This includes tools used to identify and track adversary behavior and tradecraft, such as MITRE ATT&CK, the Cyber Kill Chain, and the Diamond Model.
• Have hand-on experience using threat intelligence platforms and SIEMs
• Have experience participating in incident response, threat investigations, and escalating detection recommendations to enhance security posture
• Able to demonstrate the ability to work cross-functionally with security, engineering, and product teams
• Have knowledge of intelligence collection methodologies and management

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Benefits
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.

About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

- Currently enrolled in an accredited college or university Master's degree program. - Majoring in Computer Science, Statistics or a related STEM discipline. - Graduation date falls in May/June 2027 and beyond. - Ability to work year-round: part-time during the school year and full-time during the summer. - Living within commutable distance to Austin, TX and able to work in-person for all hours.
The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor, Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role, the opportunity for full-time employment will be available at the Amazon corporate site in Austin, TX. The Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects: • We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time applied scientists, data scientists, business intelligence engineers, and software development engineers are willing and able to mentor exceptional student applied scientists, data scientists, SDEs, and BIEs. • Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” applied science and machine learning experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities • Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. • As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. • This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. • The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.

• Previous technical internship(s).
• Effectively articulate technical challenges and solutions.
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Flatfile is revolutionizing enterprise data handling through AI automation. We're building an AI-native data mapping, cleaning, and transformation platform that tackles the most stubborn data problems for the world's largest organizations.

What is an "AI Engineer" at Flatfile

You’ll work at the intersection of conventional software engineering and machine learning, focusing on applying AI to solve real-world problems rather than fundamental ML research.

As James Brady from Elicit notes: "If you're a software engineer who relishes the more difficult parts of backend code—like concurrency, fault-tolerance, and distributed systems—you could be a great AI engineer."

What you'll do

You'll own critical parts of our AI-powered data platform:

• Design and implement robust backend services that integrate with various AI models for data understanding and transformation
• Build fault-tolerant systems that can handle the high latency and variance inherent in working with large language models
• Create streaming architectures for real-time AI processing of customer data
• Develop evaluation frameworks to measure and improve our AI features' accuracy and reliability
• Work closely with our product team to prototype and ship new AI capabilities
• Help learn and establish best practices for AI development at Flatfile
• You’ll also get to write some good old-fashioned code and ship more traditional software features too 🙂
• Oh, and we all fix bugs

Our tech stack

In this role, you’ll use LangGraph, various LLMs and open source models, React, Typescript, our in-house design system Baseline, Node (Nest.js), Prisma, Postgres, Git, Flatfile’s homegrown data engine, and utilize AI for performance gains on a daily basis.

What you bring to the role

Essential

• Experience building production backend systems
• Strong computer science fundamentals, especially in distributed systems
• Experience handling asynchronous workflows and building resilient services
• Genuine enthusiasm for AI technology and its practical applications
• Track record of shipping customer-facing features

Great to have

• Experience working with LLMs in production environments
• Background in data processing or ETL systems
• Familiarity with AI model deployment and optimization
• Experience with streaming architectures
• Open source contributions to AI/ML tools

What you'll find at Flatfile

• A chance to shape the future of enterprise data automation
• A highly collaborative, fast-paced engineering culture
• Ownership of significant technical challenges and no PM overlords
• The opportunity to work with cutting-edge AI technology
• Competitive compensation and equity
• A team of humble and audacious builders who take pride in their work

In accordance with applicable law, the following represents Flatfile's reasonable estimate of the range of possible compensation for this role if hired in Colorado.

Reasons you’ll love working here

Comprehensive health, vision, and dental insurance for you and your dependents

401k match. 100% matching for up to 3% and a 50% match for the next 2%

Equity options for all full-time employees

100% remote work environment

️ Flexible paid time off, with a recommended minimum of 3 weeks

$10,000 home office makeover with personal access to an interior designer

$150 per month toward cell phone and wifi

The best tools to do your work, including a Mac laptop and top-of-the-line hardware.

24/7 access to a Health Advocate & free annual membership to One Medical

12 weeks of paid family leave

And much more!

Flatfile believes a diverse and inclusive environment is key to building a great company. As such, Flatfile is proud to be an Equal Opportunity Employer. We are committed to creating an environment that is welcoming for people from all walks of life; we do not discriminate based on race, color, gender identity, religion, sex, national origin, disability, veteran status, or any other characteristic protected by law. While we have more work to do to advance diversity and inclusion, we are invested in growth that empowers everyone to succeed.