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Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samples Ba

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Senior or Lead Bioinformatics Scientist to join the team building the technology at the heart of that effort. You will work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. You will help advance the state-of-the-art and drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Develop and validate new algorithms to analyze large multimodal epigenomic datasets Drive research analyses through implementation, testing and performance evaluation, including developing new features within existing pipelines Work with sequencing and clinical data from large cohorts, ensuring data integrity and quality control Partner with molecular biologists and clinical scientists to solve challenging, open-ended problems Visualize results and present complex findings to both technical and non-technical audiences Contribute to the team’s standards for code quality and reproducibility QUALIFICATIONS: Ph.D. in Bioinformatics, Computer Science, Biology, or a related field; alternatively a Bachelor’s or Master’s degree with at least 4 years of professional experience Track record developing and validating analysis workflows for high-throughput sequencing data Experience applying and evaluating statistical and ML methods to large datasets Strong quantitative reasoning and data analysis skills, applied effectively to real scientific problems. Software development experience, including proficiency in Python and its scientific computing ecosystem Fluent using Linux command-line tools and cloud computing environments Strong verbal and written communication skills Preferred Experience Working knowledge of DNA methylation and other epigenomic data Experience with cell-free DNA and liquid biopsy samp

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients. PRIMARY RESPONSIBILITIES: Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group Prototype, test and productionize ML models using scalable infrastructure Own key technical deliverables within larger projects and help shape the team’s research roadmap Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies Keep raising the bar through code and design reviews across projects Translate complex results into clear stories for technical and non-technical audiences Mentor junior scientists and champion a culture of curiosity, collaboration, and scientific excellence QUALIFICATIONS: PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data Proven track record of innovation and technical leadership in complex method development projects Expertise in deep learning and multimodal foundation models Proficient in Python and its scientific computing ecosystem Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology Excellent co

Who We Are: LINK is a fast-growing Woman Owned Small Business (WOSB) that leverages human-centered design to support strategy, innovation, communication, change, and branding within the federal government and adjacent industry partners. At LINK, we partner with engineers, futurists, and thought leaders to untangle complexity, discover opportunity, and communicate clearly with visual stories. Let us be your partners in change. Location: We are actively hiring in the Washington, D.C. area. About the Opportunity LINK is actively seeking a Senior Information Designer to join our dynamic team, where we collaborate with clients across a wide range of industries to create impactful visual stories that communicate complex ideas. You will be responsible for translating concepts into compelling visual products, including prototypes, wireframes, infographics, charts, and diagrams, to effectively convey both quantitative data and abstract ideas in print and digital formats. This is an exciting opportunity for a creative professional to apply human-centered design and design thinking principles to solve complex challenges and deliver visually engaging solutions. You will work closely with both internal teams and clients to understand their needs, develop intuitive information hierarchies, and create designs that support their goals. Qualifications Bachelor’s degree in Graphic Design, Visual Communication, Visual Journalism, Animation, Information Design, or a related field. 10+ years of experience in graphic design, information design, visual communication, or a related field. Ability to obtain and maintain a security clearance. Strong expertise in information design, visual storytelling, and communicating complex information through visual means. Well-versed in a variety of design disciplines (e.g., information design, graphic design, brand development, experience design) and able to select the appropriate approach for a given challenge. Strong underst

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Program Overview Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best. This fellowship brings researchers and experts from philosophy, cognitive science, economics, policy, and law into Anthropic for four months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. What to Expect: A concrete, scoped project matched to your background, with mentorship from Anthropic researchers. Access to frontier Claude models and internal evaluation tooling. A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community. Compensation: $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them. Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude’s strengths and weaknesses in tackling them. Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Cla

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Conducting technical interviews; Creating software, tooling and distributed systems for automating and managing data center network hardware and compute stacks; Creating and operating shared infrastructure for Stripe’s Cardholder data environment; Deployment tooling; SOX compliance audit prep interviews, and remediations; PCI compliance audit prep, interviews, and remediations; Project management; Mentoring junior engineers; On-call responsibilities. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or related field, plus two (2) years of Software Development experience. Position also requires the following: 2 years of experience with AWS cloud infrastructure and Terraform infrastructure automation; 2 years of experience with reliability, scalability, and distributed systems principles; 1 year of experience in Go and Ansible programming languages; 1 year of experience in Puppet host configuration; 1 year of experience in Ruby programming language; 1 year of experience in Python programming language; 1 year of experience in mentorship and leadership of junior software engineers; 1 year of experience performing 24/7 on call rotations to support high-availability software systems; 1 year of experience with monitoring and logging tools; 1 year of experience with computer network concepts; 1 year of experien

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Analyze accounts and transactions to identify and predict risky behavior that could result in losses for Stripe or pose challenges to the broader payments ecosystem. Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design strategies and solutions that might range from ML model features to manual review workflows. Work with internal partners like Engineering, Product, Data Science and Operations to develop solutions that would mitigate fraud risk across different geographies, payment methods and products. Work with Stripe users to educate them about and help prevent potential risks to their business. Challenge the payments industry status quo to help enable innovative businesses to flourish online. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Business Administration, Economics, Statistics, Finance, Engineering, or a related quantitative field plus 4 years of experience as a Risk or Fraud Strategist or a related occupation. Must also have 3 years of experience in each of the following: Payments-related domains, including regional payment methods, risk management, fraud prevention, or trust and safety operations; Working with quantitative tools including Python, R or Stata; Using SQL; Project Management analytical tools including Jira, Asana, and Gantt charts; Predictive Analytics; Machin

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

Location: Bristol, London or Cambridge, UK About the job Help scale state-of-the art AI models across thousands of accelerators. As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimising new and existing AI models for our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Having visibility of the entire pipeline from novel accelerator hardware to state-of-the-art AI applications, and the software stack in-between, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. Furthermore, you’ll work closely with researchers in a rapidly-evolving field, where even the most senior engineers are constantly learning and adapting to exciting new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation, at scale. We currently have multiple opportunities available in the team at Senior, Staff and Principal level and offer flexibility through a hybrid working model, from any of our UK offices. If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you! The team and culture The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software, as well as our own hardware and software stack, to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. Our work spans from low-level kernel development and optimisation for novel hardware through to implementing and scaling research-level algorithms for the latest AI models. We collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and di

**This is a 6 month internship starting in January 2027** We’re seeking curious minds like yours to collaborate with full-time engineers and cross functional teammates, learn development standard methodologies, and gain practical software engineering experience. Software engineering interns are fully integrated into software engineering teams across our Product and Technology organization. Interns spend their time pushing production-level code to make lasting contributions across MongoDB’s products and services for our internal teams, external customers, and developer end users. What we are looking for in you (qualifications) In the process of receiving a Bachelor’s or Master's degree in Computer Science, Computer Engineering, or a related field. Have a foundation in computer science theory, with proficiencies in data structures, algorithms, and software design. Fluent in any one of the following programming languages: Java, Python, Go, C++, Javascript, Node.js - or a comparable object-oriented programming language. Have a minimum of one semester remaining in university studies after the internship concludes. Graduation date in, Spring 2028 or Summer 2028. Must be authorized to work in Ireland and provide the Company with copies of all relevant documents, if requested. Company sponsorship may be available for eligible candidates applying for certain roles. What you'll find at MongoDB Authentic Culture: A workplace where you are encouraged to bring your whole self to work, we believe that Embracing the Power of Differences is the best way to broaden our own perspectives and foster innovation. Personalized Mentorship: Pair up with an engineering Mentor, a Program Advisor from the Early Talent Recruitment Team, and an Employee Resource Group (ERG) Guide to foster your growth. Career Coaching Sessions: Access to a tailored training program designed uniquely for interns’ personal and professional development. Work-Life Harmony: Embrace "Bloom for Interns" with access to

The Best Players Need the Best People. Manage Player & Agent Communications and assist with player and agent communications-related objectives and strategic planning. Provide year-round media and communications support to PGA TOUR players and agents, including media requests, brand-building strategies, player messaging and crisis comms. Work closely with Publicity, Player Relations, Player Partnerships and other internal teams to manage and strategize player engagement in media and content opportunities. QUALIFICATIONS Bachelor’s degree in communications, Journalism, Public Relations, or a related field is required; an advanced degree is a plus and may be considered favorably. 7+ years of experience in communications, public relations, or media relations, with a strong preference for experience in golf tournament communications, sports event management and athlete relations. Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and familiar with digital publishing tools, content management systems, and social media platforms. Strong organizational, time management and multitasking skills with meticulous attention to detail. Exceptional written and verbal communication skills, including advanced proficiency in writi

The Best Players Need the Best People. This position supports the planning, coordination, and on-site execution of food and beverage activations across PGA Tour operated events. The position works closely with the PGA Tour Operated Events team, catering providers, Official Marketing Parther (OMP) sponsors, and vendors to ensure successful integration of partner products and experiences within tournament concessions, hospitality, and other event environments, consistent with partnership agreements and operational requirements. Qualifications Bachelor’s degree in Sports Management, Marketing, Hospitality, Business, or related field. 3+ years of related experience in event operations, hospitality, sponsorship activation, or experiential marketing; sports or entertainment industry experience preferred. Strong organizational, communication, and project coordination skills with the ability to manage multiple priorities and deadlines. Ability to build effective working relationships with internal teams, sponsors, catering providers, and vendors. Ability to travel domestically and internationally, including extended on-site support during events. Responsibilities Support the planning and execution of food a

MKTQ427R50 As the Director of Technical Marketing at Databricks, you will lead and scale the team responsible for explaining Databricks products, and what you can do with them, at scale to technical buyers and practitioners (from data engineers, data scientists, and ML engineers to solutions architects, platform teams, security engineers, and application developers). You will own the strategy and execution of technical content in written and video form, demos, workshops, launch storytelling, and outbound evangelism that drives technical mindshare, consideration, product adoption, and ultimately pipeline. In the era of agentic marketing and AEO/GEO, your team will increasingly produce content designed to educate both humans and agents alike. You will also play an outsized role in programming the technical content for key Databricks events, such as the Data + AI Summit and Data + AI World Tour, among others. Reporting to the SVP of Product & Solutions Marketing, you will manage a team of 6+ Technical Marketing Managers (growing) and serve as the connective tissue between Product, Product Marketing, Field Engineering, and the broader technical community. This role expands the traditional TMM charter to include a stronger outbound evangelism dimension, becoming a visible, trusted technical voice externally through social media, YouTube, conferences, and the data practitioner ecosystem while continuing to own the core technical content engine that powers Summit, World Tour, workshops, and field enablement. The impact you will have: First 6 months: Assess the current TMM team's strengths, gaps, and capacity; establish a clear operating model with defined ownership areas (product coverage, content types, GEO) and a quarterly planning cadence. Own and deliver the technical content agenda for Data + AI World Tour and/or the next major Tier 1 event, achieving ≥4.5/5.0 average session ratings and measurable pipeline contribution. Launch or significantly expand at least 2 n