Title: Staff Scientist in Translational Bioinformatics Location: Philadelphia United States Job Description: SHIFT: Day (United States of America) Seeking Breakthrough Makers Children's Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care-and your career. CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means. A Brief Overview This role is an entry level position for a PhD level professional and a 2nd stage position for those with moderate experience without a PhD. The focus of the position is service-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a moderate degree of supervision with some latitude for independent judgment, development of bioinformatics workflows and processes, and presentation of results. This role will begin to apply best practices in collaborative science as a bioinformatics domain expert. Academic output, while not a primary focus of this position, is also expected with a moderate degree of supervision. This position is primarily focused on supporting scientific teams and projects as a bioinformatics domain expert. This role must be able to perform all responsibilities listed in the less senior roles within the career ladder. All responsibilities listed in this description are additional. Dr. Tamir Diamond, Dr. Edward Behrens and their research group at Children's Hospital of Philadelphia are seeking a highly motivated PhD-level Staff Scientist in Translational Bioinformatics to support studies of immune dysregulation in pediatric acute liver failure. The successful candidate will lead computational analyses integrating multi-omic datasets generated from patient blood and tissue samples, with a focus on translational immunology. Our group uses 10x Genomics platforms such as visiumHD, Xenium and GEM-Ex single cell RNA sequencing from blood/tissue, as well as multiprotein assays by O-Link and other vendors. Our group has a collaborative relationship with the CHOP single cell RNA sequencing core on multiple projects providing excellent resources and support. Responsibilities - Analyze and integrate datasets from: - Single-cell RNA sequencing - TCR/BCR repertoire sequencing - Spatial transcriptomics - Multiplex immunofluorescence/imaging platforms - Multiplex protein assays - Perform cell-state, clonality, pathway, and cell-cell interaction analyses - Develop reproducible computational workflows in R/Python within HPC environments - Contribute to manuscripts, abstracts, and grant applications Preferred Qualifications - Experience with immune repertoire analysis (TCR/BCR sequencing) - Familiarity with translational immunology and human tissue datasets - Experience with integrative multi-modal analysis approaches - Flexibility to work from home for 1-2 days/week How you fit in? You will have an important role in our group's mission to further the understanding of the interaction between the immune system and organ injury in immune dysregulation syndromes. We are a jovial bunch that collaborates with multiple other labs at CHOP and we are looking for a motivated future member to join our scientific discoveries and fun lunches. We are a lab group full of kind, collaborative, and motivated individuals with diverse backgrounds and experiences. You must be willing to commit to the position for at least 2 years. This is the minimum time required to build a strong mentor-mentee relationship, to be an effective member of the team, and to help you build the appropriate skills as your career develops. What you will do - Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. - Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. - Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances. - Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources. - Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status. - Coding (20%): Code and generally support code and applications on behalf of collaborative project and/or team. - Within the context of the collaboration or project, develop and apply best practices to code development. - Establish requirements with the project team. - Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. - Advocate for chosen strategy to project team by showing value of approach - Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. - Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. - Data Analysis (20%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team. - Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. - Incorporate more advanced applications and methods into analysis. - Develop at least one specialty analytical or biomedical area that serves the collaborative team. - Collaboration (20%): Establish role within collaborative project team as primary bioinformatics resource. - Contribute to and influence project-level management by serving as bioinformatics point. - Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. - Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. - Develop new collaborations with high degree of supervision. - Academic Output (20%): Develop presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. - Regularly contribute to bioinformatics-focused manuscripts and publications. - Regularly contribute to podium presentations and posters. - Contribute to bioinformatics sections of grant and award proposals. Education Qualifications - Bachelor's Degree Required - Master's Degree in bio/informatics, computational biology, computer/information science, biomedical engineering, biological science or a related field Preferred - PhD in Bioinformatics, Computational Biology, Immunology, Genomics, or related field Preferred - Strong experience with single-cell and/or spatial 'omics analysis - Proficiency in R and/or Python - Experience working with high-dimensional human translational datasets - Excellent communication and collaborative skills Experience Qualifications - At least three (3) years of applied bioinformatics, computational and/or genomics/proteomics experience Required - At least five (5) years of applied bioinformatics, computational and/or genomics/proteomics experience Preferred Skills and Abilities - Intermediate proficiency in UNIX/LINUX - Intermediate proficiency in programing languages (Python/Django, R, Perl, Scala, Ruby) - Intermediate proficiency in pipeline or workflow development frameworks - Intermediate proficiency in biostatistical data analysis on dimensional data, genomics and research data - Intermediate proficiency in data management - Intermediate proficiency in genomic data sets and analysis tools (UCSC Genome Browser, Bioconductor, ENCODE, NCBI databases) - Intermediate proficiency in open source and commercial bioinformatics resources and software - Intermediate proficiency in source code management, application development, and project lifecycle management - Intermediate proficiency in bioinformatics analysis, statistical modeling, data integration, and bioinformatics best practices - Substantial knowledge of relational database management systems (PostgreSQL, MySQL, Oracle) - Substantial knowledge of bioinformatics applications and algorithms - Substantial knowledge of biological domains - Substantial knowledge of technologies commonly used in biological labs (PCR, cloning, electrophoresis gels, and cell cultures) - Substantial knowledge of working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies - Excellent verbal and written communications skills - Strong time management skills - Strong organizational skills - Strong presentation skills - Strong critical thinking / problem-solving skills - Strong project management skills - Ability to maintain confidentiality and professionalism - Ability to work independently with minimal supervision - Ability to gather, analyze and make recommendations/decisions based on data / best practices - Ability to convey complex or technical information in an easy-to-understand manner - Ability to collaborate with stakeholders at all levels To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more. EEO / VEVRAA Federal Contractor | Tobacco Statement SALARY RANGE: $101,300.00 - $129,100.00 Annually Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly. - ------------------ At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.

Role Description Como Cientista de Dados, você será fundamental para transformar dados em inteligência ativa. Seu foco será o desenvolvimento e a implementação de modelos de classificação, previsão e soluções baseadas em IA Generativa, integrando-as aos nossos produtos, processos internos e iniciativas institucionais. Aqui, você atuará focado no core de Data Science: - Modelagem e Análise: desenvolver, validar e apoiar a implantação de modelos de classificação e previsão (Machine Learning) para otimizar processos e alavancar produtos de dados. - IA Generativa na Prática: desenvolver e implementar aplicações baseadas em Grandes Modelos de Linguagem (LLMs) para automação e novas funcionalidades de produto. - Visão de Produto: apoiar a tradução de dores de negócio em problemas de Data Science, ajudando a definir hipóteses, métricas de sucesso e critérios de avaliação alinhados aos objetivos da instituição. - Ciclo de Vida dos Modelos: acompanhar a saúde dos modelos em produção, monitorando métricas de desempenho, qualidade e possíveis desvios. - Colaboração Multidisciplinar: atuar em parceria com os times de Produto, Engenharia de Dados e BI para integrar soluções analíticas ao ecossistema da empresa. Qualifications - Prática em Machine Learning: experiência no ciclo de modelos de classificação e regressão/previsão (da exploração dos dados e validação até o acompanhamento do modelo). - Ecossistema Python: conhecimento sólido na linguagem e em suas principais bibliotecas de manipulação e modelagem. - Desenvolvimento com LLMs: experiência prática na construção de aplicações utilizando LLMs e frameworks de suporte (como LangChain ou LlamaIndex), compreendendo conceitos de arquiteturas como RAG. - Manipulação de Dados: boa autonomia em SQL para extração, transformação e análise exploratória de dados. - Noções de MLOps e LLMOps: conhecimento sobre boas práticas de versionamento de código/modelos e ferramentas de monitoramento de experimentos. - Noções de Produtos de Dados: compreensão de como um modelo analítico se integra e gera valor dentro de um produto ou processo de negócio. - Cloud Computing: vivência ou familiaridade com serviços gerenciados de IA/ML em ambiente de nuvem, preferencialmente AWS. Requirements - Conhecimento em técnicas de Engenharia de Prompts e testes com múltiplos modelos de linguagem. - Noções de segurança, governança e uso ético de Inteligência Artificial. - Experiência prévia atuando em times multidisciplinares de produtos digitais. Benefits - Vale alimentação e/ou refeição (R$837) - Inclusive nas férias - Vale transporte - Seguro de vida - Auxílio home office (R$100) - Auxílio creche para crianças de até 6 anos - Headhunter (valor por indicação de colaborador) - Indicação de clientes (valor por indicação de clientes) - Plano de saúde integral, sem coparticipação (com terapia online gratuita) - Convênio odontológico - Caju+ (assistência psicológica, assistência jurídica, consultoria financeira) - Wellhub (plataforma de saúde e bem estar) - DOT Break (Um dia de folga extra no ano, para usar como quiser) - Convênio Farmácia - Licença maternidade estendida de 6 meses - Licença paternidade estendida de 20 dias - Onhappy - Ofertas exclusivas de passagens e hospedagens - FeelingDOT sobre temas diversos (workshops sobre autoconhecimento, diversidade, inclusão e equilíbrio) - Mimos e gifts em datas comemorativas - Verba de Sophia de R$ 2.000,00 (auxílio educação) - Horas de Sophia (40 horas/ano em capacitação da sua escolha) - Verba Survival (auxílio educação no negócio) - DOTAcademy com cursos gratuitos - Mobilidade interna - DOTHUB (desenvolvimento de lideranças) - Cultura de feedback - DOTKnows (peer learning) - Cousera - Ilimitado - Home office: trabalhe de qualquer lugar do Brasil - Horário flexível - Nosso regime é de 40h semanais - Aprendizado contínuo - Pessoas que é bom de estar perto - Autonomia com responsabilidade - Local para refeições (presencial) - Lanches, snacks, frutas, chás e café passado (presencial) - Área de convivência (presencial) - Momentos de integração e festas

Role Description We are looking for a highly motivated and results-driven Head of Data & AI to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization. We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach. Key Responsibilities - Data Engineering - Design and evolve a scalable, reliable, and maintainable data platform architecture - Oversee development of robust ETL/ELT pipelines and real-time data streaming systems - Establish engineering best practices, including code reviews, CI/CD, data contracts, and observability - Lead technology selection and resource planning across ClickHouse, Spark, and supporting infrastructure - Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes - Manage infrastructure costs and drive optimization across storage, compute, and cloud resources - Artificial Intelligence & Large Language Models - Define and develop the company's overall AI direction and roadmap, aligning initiatives with long-term business strategy - Ensure operational stability and observability of ML services - Define and drive LLM strategy, including identifying high-value use cases, evaluating model providers (OpenAI, Anthropic, open-source), and leading end-to-end implementation - Architect and oversee LLM-powered products, including RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes - Establish MLOps/LLMOps best practices, including model versioning, evaluation frameworks, prompt management, and drift/hallucination monitoring - Drive responsible AI governance, including bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations - Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval - Champion AI-assisted development practices (e.g., GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams - Data Analytics & Quant - Drive advanced analytics, strategy, and Quant development - Partner with stakeholders to translate complex business challenges into data-driven solutions - Define and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-making - Lead experimentation practices to validate business impact of models and initiatives - Mentor teams, setting technical standards and career development paths Qualifications - 7+ years of hands-on experience across Data Engineering, Data Science, Quant, Data Analytics, delivering end-to-end solutions - 3+ years of managerial experience, leading data teams - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field - Strong programming skills in Python, with experience writing clean, production-grade code - Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture) - Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc. - Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) - Strong foundation in mathematical statistics, probability theory, and quantitative modeling - Proficient in SQL and experience with analytical and OLAP databases - English Upper-Intermediate Nice to Have - Background in trading or fintech - Experience analyzing and modeling time series or high-frequency data - Familiarity with anti-fraud systems, risk modeling, or portfolio analytics - Practical experience with integration of LLM with corporate systems for internal users Benefits - 20 paid vacation days per year - 10 paid sick leave days per year - Public holidays according to current legislation - Medical insurance - Opportunity to work remotely - Professional education budget - Language learning budget - Wellness budget (gym membership, sports gear and related expenses)

Title: UTS - Temporary Statistician Investigator at UNC Chapel Hill Location: Chapel Hill United States DepartmentHR UTS Partnership Career AreaResearch Professionals Position TypeTemporary Staff (SHRA) Position TitleUTS - Temporary Statistician Investigator at UNC Chapel Hill Position Number Vacancy IDS027732 Full-time/Part-timeFull-Time Temporary Hours per week Work Schedule Hybrid (Monday/Tuesday/Wednesday in office; Thursday/Friday remote) Position Location Hiring Range$46/hour Proposed Start Date07/06/2026 Estimated Duration of Appointment6 months not to exceed 11 months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit Position Summary The department at Chapel Hill is looking for a data analyst/statistician at or above the master’s degree level, to work in a collaborative team of investigators and perform statistical analyses to gain new discoveries to help trauma survivors. The primary focus of the position will be to assist with analyses of different longitudinal data collected as part of the ~$35 million dollar AURORA study. This study, funded by the National Institute of Mental Health and private and foundation partners, enrolled individuals presenting to a large network of emergency department in the immediate aftermath of trauma. Study participants were followed longitudinally for one year, beginning in the hours after trauma, using sophisticated adaptive sampling methods and state-of-the-art battery of self-report, neurocognitive, physiologic, digital phenotype, psychosocial, neuroimaging, and genomic markers. In addition to analyses of these data, the statistician will also analyze data from varied longitudinal data collected as part of many other past and current R01 studies going on in the institute, as well as the analysis of clinical trial data. Minimum Education and Experience Requirements - Master’s degree in a social science, applied science, clinical science, epidemiology, or closely related discipline required; PhD preferred. Foreign equivalent degrees will be considered. - Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD. - Demonstrated experience conducting advanced statistical analyses, with the ability to independently learn and apply new analytical methods as needed. - Experience with structural equation modeling (SEM) strongly preferred. - Proficiency in statistical programming and analysis software, including R; experience with Mplus preferred. - Demonstrated scientific writing ability, including contributing to peer-reviewed manuscripts, technical reports, or research publications. - Experience working in clinical, epidemiological, or multidisciplinary research environments preferred. - Proven ability to collaborate effectively as part of interdisciplinary teams. - Strong organizational skills with the ability to manage multiple tasks, datasets, and project timelines effectively. - Ability to analyze complex longitudinal data collected across research studies, including cleaning, structuring, and interpreting multi-timepoint datasets. - Experience with bioinformatics research, including working with biological, clinical, or molecular datasets and applying computational or statistical methods to interpret results. Management Preferences - 2–5+ years of experience in quantitative research, advanced statistical analysis, or applied data science in academic, clinical, epidemiological, or research settings preferred. - Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD. Special Physical/Mental Requirements N/A Campus Security Authority Responsibilities Special Instructions UNC-Chapel Hill and NC State University are collaborating to extend NC State’s internal temporary staffing function as a shared service for both institutions. Under this partnership, UTS provides exclusive temporary staffing services to UNC-Chapel Hill and NC State, employing candidates to work as temporary employees in a variety of jobs on both campuses. If you are interested in applying to this position please click on the following link: Temporary Employment Policies http://hr.unc.edu/policies-procedures-systems/spa-employee-policies/temporary-employment/relevant-policy-information-for-temporary-employees/ Posting Contact Information Office of Human Resources Contact Information If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status. Equal Opportunity Employer Statement The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.