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- 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
Job Features
| Job Category | Data Analyst, Data Science |
Additional Links: 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 identi...
Posting Description
DATA ANALYST, MIT Energy Initiative, to serve as an advisor to the Institute Innovation Fellow (IIF), helping to conduct analysis across an array of projects. Reporting to the Public Sector Data Manager, will primarily focus on building key aspects of the Global Clean Energy Investment Monitor (GCIM) project, for which the IIF serves as principal investigator. The GCIM is a joint project of MIT’s Center for Energy and Environmental Research and the Rhodium Group, a research firm and builds off of and expands from the domestic Clean Investment Monitor launched in late 2023. Responsible for research and analysis within the IIF’s research agenda, including economic policy, climate policy, energy policy, sustainability, and industrial/manufacturing policy. Build and maintain databases for the Global Clean Investment Monitor (GCIM) by compiling and analyzing data on global clean energy subsidies. Collaborate with MIT CEEPR and the Rhodium Group to update and produce original research for the Clean Investment Monitor (CIM). Design and build data architecture, pipelines, and products to solve climate policy and other policy data problems. Support the drafting and publishing of research papers, working papers, op-eds, and other written products by analyzing GCIM data. Present findings, approaches, and processes to the team clearly. Participate in public-facing research projects by preparing talking points and materials with the MIT CEEPR team.
Job Requirements
REQUIRED: Bachelor’s degree required and a minimum of two years of relevant experience required. Preferred: Research experience in government, public policy or related field; extensive data analysis skills and experience, including data management and analysis in excel; strong entrepreneurial capabilities, including ability to implement a long-term and technical plan of action with minimal supervision; experience working on climate change, sustainability, energy policy and/or trade policy as well as economic issues; strong written and verbal communication and presentation skills; experience advising and working with senior officers of an organization; strong organizational capabilities; ability to work collaboratively.
Job Features
| Job Category | Data Science |
Posting Description DATA ANALYST, MIT Energy Initiative, to serve as an advisor to the Institute Innovation Fellow (IIF), helping to conduct analysis across an array of projects. Reporting to the Pub...
Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
The Office of the CXO drives effectiveness across the EA Experiences organization with a focus on excellence in business operations, comprehensive fan intelligence, plus internal technology and business solutions. We are horizontal connectors empowering teams across the Experiences organization with the strategic prioritization, investments, resources, data, insights, and technology required to accelerate results in service of our goals.
And we want you to join us. We are hiring a Data Engineer for our CXO Fan Intelligence Data & Analytics team, reporting to the Director of Data Science & Information Architecture. This is an individual contributor role with no managerial responsibilities.
Responsibilities
- Data analysis - Identify, source, examine, clean, visualize and prep datasets for statistical analysis, perform EDA and apply statistical techniques to examine and interpret large datasets, identify trends, patterns and correlations
- Modeling – Create or apply predictive and prescriptive models to datasets and perform model fit tests
- Communication - Present complex analytical insights to Executives in business-friendly language through visual data products, reports and presentations and translate findings into their domain specific context
- Partner Cultivation – build a business network with teams outside the WWCE department to understand requirements, define problem statements and create analytical approaches to support strategic decisions
- Experimentation – design interventions based on prescriptive models and provide a plan for implementing the experiments and measure the results and finally provide recommendations for next steps
- Understanding of current challenges surrounding AI: demonstrate understanding of concepts such as AI ethics, fairness, data leakage, bias and model drift
- Master's in Statistics, Operations Research or related field (we will consider a Bachelor's degree in Statistics with relevant experience)
- Technical skills
- Expert in at least one Statistical Programming Language such as R or Python
- Experience with relational and distributed databases
- Experience with visualization tools such as RShiny, Streamlit, Tableau
- Soft skills
- Customer Advocate – You care what kind of experience our players are having when their games or services don't work and you want to play your part in improving it
- Programmer – You're an expert at writing functions and identifying the right language for the right situation
- People Analyst – You understand that your work contributes to improving people's lives not predict when a machine is going to break down
- Learner – You are a regular on Stack Overflow, know how to take apart a Vignette and are always looking for a new project that allows you to put that modern technique to good use you read about last month
- Documentation Expert – You know just the right level of documentation to help yourself and the person who takes over after you understand what you did, when and why
- Teacher & Student – You are patient and can field questions from team members around better coding practices or statistics related problems but you also never stop learning and understand the industry is constantly moving and you need to keep up
- Experiment Designer – You can create up an A/B test in your sleep, but you don't let a less than ideal A/B test set up stop you from finding some answers
- You can turn data into pictures that people understand, you can boil down 3 months of work into 3 important takeaways, and you do it all while speaking with ease to high-level executives using something like PowerPoint as your sidekick
- Other qualifications
- 2+ years of experience with at least one Statistical Programming Language such as R or Python
- 3+ years of experience with relational and distributed databases
- 3+ years of experience with AWS SageMaker and Code Versioning tools such as GitLab
- 3+ years of experience with visualization tools such as RShiny, Streamlit, Tableau
- Experience with AWS SageMaker
About Electronic Arts
We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community tha...
Salary- $190K/Yr - $220/Yr
Hybrid
Posted 1 month ago
About the Company:
We are a fast-growing AI-driven technology company at the forefront of data science and digital marketing innovation. Our mission is to leverage AI and analytics to deliver measurable growth and create intelligent marketing solutions that transform how businesses engage with customers.
Job Responsibilities:
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Lead the development and execution of AI-driven marketing performance strategies to drive revenue, engagement, and customer acquisition.
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Use data science techniques, predictive analytics, and AI tools to optimize marketing campaigns across multiple channels.
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Collaborate closely with product, sales, and data teams to ensure marketing strategies are aligned with business objectives and AI initiatives.
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Manage a high-performing team of marketing analysts, data scientists, and performance marketers, fostering innovation, collaboration, and accountability.
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Measure and analyze campaign performance, deriving actionable insights to continuously improve ROI.
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Oversee AI-powered automation, personalization, and targeting strategies to enhance customer experiences.
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Develop dashboards, reports, and presentations for executive leadership to track KPIs and strategic outcomes.
Qualifications:
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8–15+ years of experience in marketing, with a minimum of 5 years in leadership roles focusing on performance marketing and AI.
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Strong expertise in data science, analytics, and AI applications in marketing.
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Experience with AI marketing tools, marketing automation platforms, and advanced analytics software.
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Proven track record of driving measurable business growth through data-driven marketing campaigns.
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Exceptional leadership, strategic thinking, and cross-functional collaboration skills.
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Experience in SaaS, AI, or technology-focused companies is highly preferred.
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Excellent communication skills with the ability to present complex insights to executive teams.
Perks & Benefits:
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Competitive base salary + performance bonus
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Equity / stock options participation
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Flexible work arrangements (remote/hybrid)
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Health, dental, and vision coverage
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Professional development and AI-focused training opportunities
💡 Why Join Us:
Lead the intersection of AI, marketing, and data science, shape performance strategies that directly impact business growth, and be part of a forward-thinking team that is transforming the marketing landscape with data and AI.
Job Features
| Job Category | AI Engineer, ai marketing |
About the Company: We are a fast-growing AI-driven technology company at the forefront of data science and digital marketing innovation. Our mission is to leverage AI and analytics to deliver measurab...
Salary- $120K/yr - $150K/yr
Hybrid
Posted 1 month ago
THRIVE is looking for a skilled Threat AI Engineer to design, develop, and deploy AI-driven solutions for threat detection, prevention, and response. This role focuses on leveraging machine learning, AI models, and security analytics to identify cyber threats, anomalies, and attack patterns in real time.
The ideal candidate will combine expertise in AI/ML with cybersecurity to strengthen THRIVE’s threat intelligence and defense capabilities.
Key Responsibilities
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Design and develop AI/ML models for cyber threat detection and prediction
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Analyze large-scale security data such as logs, network traffic, and alerts
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Build automated threat intelligence and anomaly detection systems
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Implement AI-based solutions for malware detection, fraud detection, and intrusion prevention
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Collaborate with cybersecurity teams to enhance SOC and threat response workflows
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Continuously monitor and improve model performance and accuracy
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Identify adversarial AI risks and implement defensive strategies
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Ensure secure deployment of AI models using MLOps best practices
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Document threat models, AI pipelines, and security processes
Required Skills & Qualifications
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Bachelor’s or Master’s degree in Computer Science, AI, Cybersecurity, or a related field
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Strong knowledge of Machine Learning, Deep Learning, and data analytics
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Experience with cybersecurity concepts such as SIEM, SOC, IDS/IPS, malware analysis, and threat intelligence
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Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks
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Experience with cloud platforms (AWS, Azure, or GCP)
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Understanding of network security, endpoint security, and log analysis
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Strong problem-solving and analytical skills
Preferred Qualifications
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Experience with AI-driven security platforms or threat detection tools
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Knowledge of adversarial machine learning and AI security threats
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Familiarity with MITRE ATT&CK framework
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Certifications in cybersecurity or AI (CEH, CISSP, Security+, AI/ML certifications)
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Experience working in SOC or enterprise security environments
Why Join THRIVE?
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Work on advanced AI-powered cybersecurity solutions
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Be part of an innovative and security-focused organization
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Opportunity to solve real-world cyber threat challenges using AI
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Competitive salary, benefits, and career growth opportunities
Job Features
| Job Category | Cyber Security, Cybersecurity Engineer |
THRIVE is looking for a skilled Threat AI Engineer to design, develop, and deploy AI-driven solutions for threat detection, prevention, and response. This role focuses on leveraging machine learning, ...
Salary- $120K/yr - $150K/yr
Hybrid
Posted 1 month ago
Tasks
TasksTasks
We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct impact for our customers in collaboration with a diverse set of consultants and data experts.
The following topics are of specific interest:
- Executes exciting project opportunities using Data and Analytics / Data Science skills with Fortune 500 companies across different industries including Aerospace, Automotive, Transportation, Consumer Goods, and Industrial Goods
- Owns and drives individual work streams during client engagements
- Analyzes current situation and develops clear understanding and critical perspective of underlying root causes
- Design discrete optimization solutions and independently develops and implements project concepts and final deliverables, including analytics approaches from understanding the challenge to solution implementation (e.g. in the areas of mixed integer optimization and resource-constrained network optimization)
- Supports the management and responsible parties of the project
- Serves as liaison to client management team and project team
- Supports business development by creating and presenting exceptional project proposals with direct support of leadership team
- Provides ongoing project feedback and other development support to Porsche Consulting team members
Qualifications
QualificationsQualifications
Qualifications:
- Willingness to travel (traveling domestic and abroad)
- Excellent command of English, where additional language skills are a distinct advantage
- Application of advanced optimization methods (describe problem/constraint set, apply/adjust heuristics and model assessment) to process real world data and planning restrictions in a business/management context
- Bachelors’ degree from renowned institutions of higher education, and demonstrated high academic track record. Major in STEM (Science, Technology, Engineering and Mathematics).
- 7 years of total relevant professional experience; or minimum of 5 years of relevant professional experience in conjunction with a graduate degree
- Progressive experience in project management roles and proven track record delivering projects
- Demonstrable expertise in the areas of analytical methods and technologies (e.g. machine learning, optimization and operations research) and selected frameworks/software (e.g. OpenMDAO, GEKKO or Gurobi)
- 2+ years of experience in data management and analytics platforms/programming (e.g. SQL, R, Python, Tableau)
- Experience with development and implementation of strategic initiatives or transformation programs
- High level of business acumen and consultative expertise
- Comfort in working in environments with a high degree of ambiguity and having the ability to define and independently drive towards clear objectives
- Expertise in qualitative and quantitative research
- Flexibility and willingness to travel up to 80%
- Excellent verbal and written communication skills
- Ability to structure large amounts of data into a clear narrative while driving appropriate focus on key elements and leading towards a defined outcome or recommendation
- Proficient computer skills with MS Office applications
- Strong desire to mentor and assist in the professional development of colleagues
- MBA or graduate degree from renowned institutions of higher education
- Second language fluency in Spanish or French a plus
At a Glance
At a GlanceAt a Glance
Porsche Consulting, Inc., a wholly owned subsidiary of Porsche AG, guides internal and external clients toward operational excellence through a unique combination of proven strategies and comprehensive implementation. Our mission is to develop enthusiasm for change within our clients to help them realize lasting gains. As a leading consultancy for putting strategies into practice, we have a marked impact on the businesses we work with: measurable results, solutions in place with lasting effect, clients eager to own our approach. As consultants we think strategically and act pragmatically. We focus on people. This is how we generate competitive success.
Job Features
| Job Category | Cyber Security, Data Analyst, Data Science |
Tasks TasksTasks We are looking for dedicated candidates with experience in the area of AI & Data Analytics for our Consulting Team who enjoy developing durable solutions that generate a direct im...
Overview
As a Penetration Tester you will perform formal and comprehensive penetration testing assessments, including producing full written reports to appropriate standards and within agreed deadlines. In addition, you will support with client pre-engagement activities, including scoping and proposal drafting, as well as researching application and infrastructure vulnerabilities, following responsible disclosure, and sharing such findings within the team.Responsibilities
- Perform formal and comprehensive application, infrastructure and other penetration testing assessments where appropriate and required
- Provide well-written, concise, technical and non-technical reports in English
- Perform vulnerability assessments and provide findings with remediation actions
- Support with various client pre-engagement interactions, including scoping activities and proposal drafting to ensure that client needs are met
- Manage and deliver penetration testing project activities within strict deadlines
- Support the QA process to ensure high quality client reports are delivered in accordance with applicable Service Level Agreement (SLA)
- Any other appropriate job duties in line with the associated skill and experience of the post holder
Skills and experience required
- Proven industry experience in application and infrastructure penetration testing
- Deep knowledge of assessing both Windows and Linux environments, including strong knowledge of Active Directory and wireless technologies
- Ability in preparing and launching social engineering campaigns (both phishing and vishing)
- Strong understanding of OWASP, PTES and other penetration testing methodologies
- Knowledge of how modern web apps are designed, developed and deployed across different platforms
- Ability to program or script in your preferred language
- Relevant degree in Computer Science, Ethical Hacking, Engineering or other relevant subject
- Relevant security qualifications (such as OSCP, CEH, GPEN)
- Good knowledge and understanding of network and OS principles
- Good knowledge of various operating systems
- Good knowledge of virtualization
Nice to have
- Knowledge of assessing cloud and hybrid environments (AWS and Azure)
- Knowledge of assessing mobile applications (iOS/Android)
- Knowledge of assessing hardware and embedded IoT devices
Personal Attributes
- Excellent spoken and written communication skills with strong attention-to-detail and accuracy
- A passion for security and networks
- Analytical and problem-solving skills with a can-do attitude and the ability to think laterally
- Self-motivation with a commitment to continued development
- Ability to work independently and as part of a team
- Influencing and negotiation skills with the ability to build relationships at all levels
- Willingness to learn
Benefits
- 25 days annual holiday plus 8 paid public holidays
- An additional day’s annual holiday for your birthday
- Pension/401k contribution
- Subsidized gym membership
- Frequent team events
- Private Healthcare (individual cover only)
- Learning Allowance Benefit
- Flexible working policy
Company Overview
Target Defense Inc is the US arm of Bulletproof Cyber Ltd and is a trusted provider of innovative cyber security solutions. From CREST-certified penetration testing to professional consultancy services, the Target Defense team help protect businesses of all sizes against the evolving threat landscape. Our cyber security services are the best way to stay one step ahead of the hackers, take control of your infrastructure and protect business-critical data. Please note that as part of the recruitment process a criminal records check will be carried out by an authorised third party.Job Features
| Job Category | Cloud Security Engineer, Cyber Security |
Overview As a Penetration Tester you will perform formal and comprehensive penetration testing assessments, including producing full written reports to appropriate standards and within agreed deadline...
Salary- $210K/Yr - $230K/Yr
Hybrid, Onsite
Posted 1 month ago
We are hiring a Senior Director – AI Marketing & Growth to lead large-scale AI-powered marketing initiatives. This role focuses on growth strategy, advanced analytics, and AI-driven customer acquisition at an enterprise level.
Key Responsibilities
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Define AI-driven growth and marketing strategy
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Lead AI adoption across paid media, CRM, and automation platforms
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Drive predictive modeling for customer acquisition and retention
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Partner with executive leadership on revenue growth initiatives
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Manage senior marketing and AI teams
Skills & Qualifications
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10–15+ years in AI, marketing analytics, or growth leadership
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Strong background in AI, ML, and customer data platforms
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Experience with AI-powered ad platforms and MarTech tools
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Proven leadership and business growth track record
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Benefits
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Salary up to $200K
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Executive bonuses
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Flexible work model
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High-impact leadership role
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-
Job Features
| Job Category | AI Engineer, ai manager, Automation Engineer, Data Science, Machine Learning |
We are hiring a Senior Director – AI Marketing & Growth to lead large-scale AI-powered marketing initiatives. This role focuses on growth strategy, advanced analytics, and AI-driven customer acq...
We are seeking a highly experienced Senior AI Manager to lead our Data Science and AI-driven Marketing initiatives. This role requires strong leadership, advanced analytics expertise, and hands-on experience in applying AI to business growth, customer acquisition, and marketing automation.
Key Responsibilities
AI & Data Science Leadership
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Lead end-to-end AI and data science strategy across marketing and business teams
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Design and deploy machine learning models for prediction, segmentation, and personalization
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Oversee data pipelines, model training, validation, and deployment
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Translate complex data insights into business-driven decisions
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AI-Powered Marketing Strategy
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Drive AI-based marketing solutions (customer targeting, churn prediction, recommendation systems)
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Implement AI tools for performance marketing, lead scoring, and attribution modeling
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Optimize campaigns using predictive analytics and real-time data insights
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Collaborate with marketing teams to improve ROI using AI automation
Team & Stakeholder Management
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Manage and mentor data scientists, ML engineers, and marketing analysts
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Collaborate with leadership, product, sales, and marketing teams
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Present AI strategies and insights to senior stakeholders
Required Skills & Qualifications
Technical Skills
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Strong expertise in Machine Learning, Deep Learning, and Statistical Modeling
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Proficiency in Python, SQL, R, and data visualization tools
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Experience with AI marketing platforms, CRM analytics, and automation tools
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Hands-on experience with cloud platforms (AWS, Azure, or GCP)
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Knowledge of GenAI, NLP, recommendation engines, and predictive analytics
Marketing & Business Skills
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Deep understanding of digital marketing, performance marketing, and customer analytics
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Experience applying AI to SEO, paid ads, email automation, and customer journey optimization
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Strong business acumen with ROI-focused decision-making
Compensation & Benefits
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Salary up to $200,000 annually
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Performance-based bonuses
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Health insurance & retirement benefits
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Flexible work environment (Remote/Hybrid)
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Opportunity to lead high-impact AI transformation projects
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-
-
Job Features
| Job Category | ai manager, Automation Engineer, Data Science, Machine Learning |
We are seeking a highly experienced Senior AI Manager to lead our Data Science and AI-driven Marketing initiatives. This role requires strong leadership, advanced analytics expertise, and hands-on exp...
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
Job Features
| Job Category | Cyber Security |
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 comple...
About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data + CRM + Trust. Leading with our core values, we help companies across every industry blaze new...
Job Description:
We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicists, and data scientists to develop, deploy, and manage scalable infrastructure for astronomical data processing, observatory automation, and space research applications.
Key Responsibilities:
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Design, implement, and maintain CI/CD pipelines for astronomical software and data processing workflows.
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Manage and optimize cloud-based infrastructure (AWS, Azure, or Google Cloud) for large-scale space data storage and analysis.
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Automate deployment, scaling, and monitoring of telescope control systems, astrophysics simulations, and satellite operations.
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Collaborate with scientists and engineers to integrate DevOps best practices into astronomical research projects.
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Implement containerization and orchestration (Docker, Kubernetes) for astronomical data pipelines.
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Enhance system reliability, security, and performance for astronomical observatories and space missions.
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Develop and maintain infrastructure as code (Terraform, Ansible, or CloudFormation).
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Monitor and troubleshoot system performance and astronomical data processing jobs.
Requirements:
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Bachelor's or Master’s degree in Computer Science, Astronomy, Astrophysics, or related fields.
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3+ years of experience in DevOps, SRE, or Cloud Engineering.
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Proficiency in Linux, Shell scripting, Python, or Golang.
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Experience with cloud services (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
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Knowledge of big data processing (Hadoop, Spark, or Apache Airflow) for handling astronomical datasets.
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Familiarity with astronomical data formats (FITS, HDF5) and scientific computing tools.
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Passion for space exploration, astronomy, or satellite technology.
Preferred Qualifications:
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Experience working with astronomical observatories, space agencies, or research institutes.
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Understanding of radio astronomy, optical telescopes, or space mission software.
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Contributions to open-source projects related to space science or DevOps.
Benefits:
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Work on cutting-edge space and astronomy projects.
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Collaborate with leading scientists and space agencies.
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Competitive salary and flexible work environment.
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Opportunity to contribute to groundbreaking astronomical discoveries.
Job Description: We are looking for a Site Reliability Engineer with a passion for astronomy and space technology to join our team. In this role, you will work closely with astronomers, astrophysicist...
Salary- $94K/yr - $123K/yr
Hybrid
Posted 1 month ago
Key Responsibilities:
-
Design, implement, and validate security measures within .NET applications.
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Perform code reviews and vulnerability assessments.
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Collaborate with development teams to integrate security into the software lifecycle.
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Develop and enforce secure coding guidelines.
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Educate developers about secure coding standards and threat awareness.
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Stay current with security threats, trends, and technologies.
An Application Security Engineer (.NET) ensures that .NET-based applications are safeguarded against security risks by implementing proactive security strategies. This role involves code review, risk assessment, and close collaboration with developers to embed security practices into each phase of development. Acting as an expert resource, they provide guidance on secure coding and emerging threats, working to protect software assets and organizational data.
Job Features
| Job Category | .NET Developer |
Key Responsibilities: Design, implement, and validate security measures within .NET applications. Perform code reviews and vulnerability assessments. Collaborate with development teams to integrate se...
Salary- $117K/yr - $134K/yr
California, Hybrid
Posted 2 months ago
Title: Azure Data Engineer
Location: Hybrid
- Python, SQL
- DBT Experience
- Previous retail (Prev Albertsons would be great!)
- Communication is key, speaking to stakeholders
- Communication skills, explain implementation teams
- Work with functionally split within retail analytics side
- Person would be working on hub and spoke model- supply chain and merchandising
- Two domains supply chains and store sites- lead engineers do review to other on team.
GENERAL PURPOSE:
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The Data Engineer III plays a critical role in engineering of data solutions that support Ross reporting and analytic needs. As a key member of the Data engineering team, will work on diverse data technologies such as Steramsets, dbt, data ops and others to build insightful, scalable, and robust data pipelines that feed our various analytics platforms. |
QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
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Title: Azure Data Engineer Location: Hybrid Python, SQL DBT Experience Previous retail (Prev Albertsons would be great!) Communication is key, speaking to stakeholders Communication skills, explain im...
Overview:
A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, and transparent. This role sits at the intersection of data science, philosophy, policy, and law.
Key Responsibilities:
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Analyze datasets and algorithms for bias, fairness, and representativeness.
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Design ethical frameworks for AI and data usage.
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Work with data scientists, engineers, and product teams to implement responsible AI practices.
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Develop tools and metrics to audit models for ethical risk (e.g., fairness, privacy, transparency).
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Collaborate with legal and compliance teams to ensure adherence to regulations like GDPR, CCPA, or AI-specific laws.
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Educate stakeholders on data ethics principles.
Required Skills:
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Strong foundation in data science and machine learning.
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Understanding of ethical theory, philosophy, or AI ethics.
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Experience with explainable AI (XAI) tools and fairness libraries (e.g., IBM AIF360, SHAP, LIME).
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Ability to communicate complex ideas to non-technical stakeholders.
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Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).
Job Features
| Job Category | AI Engineer |
Overview: A Data Ethicist focuses on ensuring that data-driven systems, especially those involving machine learning and AI, are designed, implemented, and maintained in ways that are ethical, fair, an...