• Developing automated quantum error correcting code discovery protocols and pipelines. • Using AI and automation to identify novel quantum error correcting codes that achieve high-performance across encoding rate, error suppression, and system realizability. • Integrating various classical machine learning methods for identifying high-performance code constructions, as well as building bespoke machine learning models tailored to high-performance code design. • Building out methods to identify high-performance error correcting codes that directly incorporate hardware constraints of various types of physical systems. • Analyzing and evaluating the performance of fault-tolerant circuits implementing quantum error correcting logic and memory using analysis and simulation tools.

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Quality leadership within Manufacturing Operations, the Senior Reliability Scientist is responsible for leading reliability activities across complex, high-performance systems. Working closely with established reliability experts and cross-functional teams, this role uses experimental data and advanced modelling to inform design decisions, validate product reliability and optimise serviceability strategies, including spares provisioning. The Team The Quality team within Manufacturing Operations is responsible for ensuring product robustness, reliability and lifecycle performance across Graphcore’s hardware portfolio. The team includes experienced reliability specialists and works closely with technology research, chip, board, system design, platform and operations teams to translate reliability insights into actionable improvements across the product lifecycle. Responsibilities and Duties: · Define and refine reliability requirements across silicon, board and system levels, working in partnership with research and design teams · Apply advanced reliability methodologies to highly innovative systems, including challenges associated with liquid-cooled architectures and fluid dynamics · Design and execute experiments to generate high-quality reliability and performance data, ensuring statistical rigour and relevance · Analyse experimental, field and manufacturing data to quantify reliability metrics such as MTBF, MTTR, RAS characteristics and soft error rates (SER) · Use data-driven insights to inform product design trade-offs, reliability targets and spares provisioning strategies · Collaborate with chip, board and system design teams to influence architecture and component selection based on reliability considerations · Support development of system-level reliability models incorporating thermal, mechanical and fluid behaviour · Lead complex root cause investigations into reliability issues, driving corrective and preventative actions across teams · Contribute to the evolution of reliability tools, processes and best practices within the organisation · Communicate complex reliability concepts, risks and recommendations clearly to a wide range of stakeholders Qualifications: - Strong background in reliability engineering or reliability science within semiconductor, hardware or complex systems environments - Experience of physics-of-failure approaches in high-performance computing, AI hardware or related domains - Experience with reliability modelling, experimental design and statistical data analysis - Proven ability to work with and interpret experimental reliability data to drive engineering decisions - Experience with key reliability metrics such as MTBF, MTTR, RAS and failure rate analysis - Ability to operate effectively in complex, cross-functional environments with multiple stakeholders - Strong problem-solving skills with the ability to lead technically challenging investigations independently - Excellent communication skills, with the ability to influence design and operations teams using data-driven insights Preferred Qualification: · Experience with liquid cooling systems, fluid dynamics or thermally complex hardware environments · Knowledge of soft error mechanisms and SER modeling · Experience contributing to reliability strategy, processes or tooling improvements

Role Description UnitedHealthcare’s Medical Policy team seeks a skilled and experienced epidemiologist to support the development and maintenance of medical policies. This individual will be responsible for researching the medical literature and summarizing relevant scientific articles for the medical policies in collaboration with a clinical policy writer and medical director and maintaining them over time using the latest published evidence. The ideal candidate will have experience in literature search, in critical review of the clinical literature, in summarizing evidence into medical policies or similar documents, in close multidisciplinary collaborations, and in process innovation and improvement. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Search the literature for scientific evidence - Critically appraise and summarize published evidence - Develop and maintain medical policies - Serve as a key resource on complex and/or critical evidence reviews (e.g. methods, interpretation) - Contribute to cross functional discussions related to research topics - Present findings in both small and large group settings - Collaborate with a larger team of medical policy writers, physicians, policy publication, and implementation experts to drive policy quality - Support continuous refinement and evolution of the medical policy development and maintenance process to drive industry-leading quality, top-of-talent work, and optimal use of modern content development and publication tools Qualifications - 2+ years of experience critically evaluating and synthesizing academic or scientific literature with demonstrated ability to identify methodological flaws, biases, or gaps in research - 2+ years of experience in writing medical policies or similar scientific documents, such as systematic reviews - Excellent knowledge of biostatistics, clinical epidemiological methods, and outcomes research - Proficiency in Microsoft Applications and working in shared document environment - Demonstrated ability to work with minimal supervision - Proven excellent medical writing skills/ability to write clearly for a diverse audience - Proven excellent written and verbal communication skills including the ability to present information to large audiences - Proven solid interpersonal skills and the ability to work collaboratively with a large and diverse team - Proven proactive attitude with a willingness to learn, innovate, and adapt in a fast-paced setting Requirements - 2+ years of hands-on experience applying the GRADE methodology to assess the quality of evidence and strength of recommendations in biomedical literature reviews - Experience using citation management software (e.g., EndNote, Zotero), Microsoft Excel and Word, and cloud-based collaboration tools such as SharePoint or Dropbox in a professional or academic environment - Research experience in clinical medicine - Experience in payer, managed care, health insurance, or clinical settings - Healthcare Policy writing experience Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) 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.

Title: Senior Epidemiologist, Inflammation, IBD (FSP Sponsor Dedicated) Location: Durham, United States of America Full time Home-based R1544308 Job Description: Location: Remote, candidates must be US-based Join IQVIA’s Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you’ll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA’s global expertise. Core Function Description: Design and conduct epidemiological studies to generate real-world evidence within time, budget, and quality standards, including but not limited to natural history of disease, population characterization, assessment of treatment patterns and unmet need, development of external comparators, benchmarking of clinical outcomes, comparative safety and effectiveness research, and post-authorization studies. Skill sets of the Epidemiologist role are similarly required, with the expectation of more experience, able to operate strategically under limited supervision, well versed in current Epidemiology research methods, deep understanding of how RWE fits within drug development, regulatory, medical, safety and other functions. Required Experience - Lead development of study protocols, analysis plans, and study reports to answer research questions of priority to RWE. - Lead, design, and manage epidemiological, biomarker and/or data science projects. - Lead, plan, design, and conduct analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries). - Lead the identification of fit-for-purpose data for the timely execution of the RWE strategy. - Constructed cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed. - Contribute to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, white papers. - Support the effective communication of study/analysis results to support internal and external decisions. - Coauthor abstracts and manuscripts for external dissemination of methodologic study results. - Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities. Technical Expertise: - Observational research methods (both Primary and Secondary), deep knowledge of biostatistics and analysis methods, understanding of regulatory processes. - Ability to design studies independently, (i.e., ability to translate research questions to create study design). Subject Matter Expertise: - Provide subject matter expertise and conduct analyses for descriptive and comparative research using RWD (examples include claims, EHR, PRO/COA, registry data) for methodologic research questions. - Deep, hands-on familiarity with EHR data curation behind health system firewalls, including practical knowledge of where key clinical outcomes are captured across data tables. - Expert knowledge and extensive experience with pharmacoepi methods (i.e., signal detection and validation methods). - Leverage RWE expertise to identify evidence gaps and develop options to address the evidence gaps in support of Clinical Development Programs. Minimum Qualifications - PhD in Epidemiology, Biostatistics, Psychometrics, or related field with a minimum of four (4) years of relevant post-doctoral experience, preferably in pharmaceutical industry, biotechnology, or consulting environment. Master’s degree in epidemiology, biostatistics, bioinformatics, or relevant scientific field, plus 7-9 years of experience in lieu of PhD may be acceptable. - Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development. - Extensive knowledge of secondary data sources and experience with secondary data analysis, including electronic medical record and/or medical claims databases. - A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred. - Demonstrated ability to function with an increasing level of autonomy and to develop productive cross- functional collaborations in a matrix environment. - Ability to manage priorities and performance targets. - Experience in leading drug development project for 2+ years for therapeutic area of assignment preferred. What’s in it for you? - Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare. - Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies. - Access IQVIA’s global network who supports your growth. This is your chance to make an impact, while building a career that matters. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $110,500.00 - $276,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.