Title: Junior Clinical Trials Data Specialist Locations: Remote - Illinois California, Colorado, New York time type Full time job requisition id JR202600459 Job Description: Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Responsibilities: - Review patient clinical records and use relevant data to determine clinical trial matches. - Independently manage clinical trial workflows, adapting to changing priorities and business needs to ensure efficiency and consistency. - Work collaboratively with cross-functional teams at Tempus (including scientists, pathologists, and product development) to create customized clinical reports. - Navigate and synthesize information from multiple data sources and systems. - Ensure clinical reports are accurate, clear, and aligned with requirements. - Support ongoing and future projects within the team. - Contribute to a dynamic work environment by maintaining flexibility and responsiveness to shifting workflows. - Other duties as assigned. Qualifications: - Bachelor's or Master's degree in Genetics, Molecular Genetics, Cancer Biology, or Biological Sciences. - Willingness to work flexible hours and adapt to business needs. - Strong written and verbal communication skills. - Proficient in critical thinking, interpersonal, and problem-solving abilities. - Ability to manage complex tasks efficiently under time constraints. - Highly detail-oriented with a commitment to accuracy and consistency. - Self-motivated and able to thrive independently as well as within a collaborative, high-performing team. - Demonstrated passion for making an impact in a fast-paced, mission-driven environment. Preferred Qualifications: - Experience reviewing hematology/oncology clinical records. - Experience in critically evaluating clinical trials. - Basic knowledge of generative AI. CHI: $46,000-$50,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Role Description As a Senior Data Scientist, you'll work across Credit Risk, Growth, and AI initiatives based on where the team needs the most leverage at any given time. This role is critical to how we scale, creating the flexibility and redundancy the team needs to execute across a wide roadmap without breaking. - Contribute across: - Credit Risk (underwriting, fraud, collections) - Growth (personalization, recommendations, incentivization) - AI initiatives based on team priorities - Own projects end-to-end within your assigned domain, including data, modeling, deployment, and post-launch monitoring. - Develop deep familiarity across multiple domains and systems, enabling the team to move faster and maintain continuity as we scale. - Drive research and exploration workstreams, evaluating new modeling approaches, alternative data sources, and tooling that keeps Aplazo ahead of the curve. - Collaborate closely with Lead and Staff Data Scientists to deliver on the broader roadmap. - Identify and flag opportunities for improvement across domains, often being the person with the broadest view of what's working and what isn't. Qualifications - 4–8 years of experience across more than one data science domain, such as Risk, Growth, Personalization, or similar. - Strong ML fundamentals, able to pick the right tool for the problem rather than defaulting to what you know best. - Demonstrated ability to ramp quickly on unfamiliar problems and deliver with limited guidance. - Proficiency in Python, SQL, and standard ML frameworks. - Hands-on experience with LLMs / GenAI as part of your regular workflow. - Production experience, having taken models past the notebook stage. Requirements - Strong Plus: - Fintech or BNPL background, familiarity with credit risk or fraud modeling concepts. - Experience with experimentation frameworks and A/B testing at scale. - Exposure to MLOps practices, feature pipelines, model monitoring, and deployment. - Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Benefits - Rare opportunity to build breadth across Risk, Growth, and AI at a company where all three domains actually matter. - Small, senior team, working alongside and learning from some of the strongest DS practitioners in fintech. - Direct impact on business outcomes, with no layers or hand-offs. - Strong foundation for a future specialist or lead role as the team scales. Languages - English (Advanced) - Spanish is a plus but not required.

Role Description We are currently searching for a Computer Scientist to independently provide support services to satisfy the overall operational objectives of the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH). This is a full-time, remote opportunity in Rockville, MD. - Perform software development to include the definition of subsystem interface specifications, software modeling, and implementing software design. - Design, build, and maintain a robust and flexible informatics infrastructure to support data collection from automated high-through-put screens. - Collaborate with teams of engineers and scientists in completing phases of projects by developing subsystems or components, which are part of those projects. - Work with biologists and chemists to analyze data from assays and screens. - Conduct theoretical and experimental studies of integrated computerized information systems. - Apply the techniques of parallel computing to computationally intensive tasks that are encountered in biomedical applications. - Implement algorithms for highly parallel computer structures containing many processor elements in application areas such as computational chemistry and structural biology. Qualifications - Master’s degree. - A minimum of FOUR (4) years of experience in computer science or related field. - Extensive experience with one or more programming languages. - Expertise in theoretical computing (such as algorithm and data structure development, computational complexity, information or database theory, etc.). - Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must obtain approved adjudication of their public trust prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred. Requirements - Strong communications skills, both oral and written. - Able to successfully manage several high-priority tasks at the same time. Benefits - Medical, Rx, Dental & Vision Insurance - Personal and Family Sick Time & Company Paid Holidays - Parental Leave - 401(k) Retirement Plan - Group Term Life and Travel Assistance - Voluntary Life and AD&D Insurance - Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts - Transit and Parking Commuter Benefits - Short-Term & Long-Term Disability - Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities - Employee Referral Program - Corporate Sponsored Events & Community Outreach - Care.com annual membership - Employee Assistance Program - Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) - Position may be eligible for a discretionary variable incentive bonus

Role Description Estamos em busca de um(a) Cientista de Dados Sênior para atuar na construção e evolução de soluções avançadas de Analytics, Machine Learning e Inteligência Artificial, contribuindo diretamente para a geração de valor ao negócio por meio de dados. Você será responsável por transformar dados em insights e soluções inteligentes, atuando desde a identificação de oportunidades até a implantação e monitoramento de modelos em produção, conectando desafios de negócio com soluções analíticas escaláveis. - Desenvolver e implementar modelos estatísticos, preditivos e de Machine Learning para apoiar decisões estratégicas. - Atuar em todo o ciclo de vida dos projetos de Ciência de Dados, desde a exploração e preparação dos dados até a implantação e monitoramento dos modelos. - Trabalhar com dados estruturados e não estruturados para geração de insights e criação de soluções de alto impacto. - Desenvolver soluções utilizando técnicas de Machine Learning e Inteligência Artificial, incluindo modelos generativos quando aplicável. - Traduzir problemas de negócio em hipóteses analíticas e soluções orientadas por dados. - Monitorar a performance dos modelos e promover melhorias contínuas. - Atuar como referência técnica em iniciativas de Ciência de Dados, contribuindo para a definição de abordagens, boas práticas e direcionamentos analíticos. - Influenciar decisões de negócio por meio de análises, insights e recomendações baseadas em dados. - Colaborar com áreas de negócio, engenharia, arquitetura e produto para construção de soluções robustas e escaláveis. - Disseminar boas práticas relacionadas à governança, ética e uso responsável de dados e IA. - Contribuir para a evolução da cultura data-driven e da maturidade analítica da organização. Qualifications - Experiência consolidada em Ciência de Dados, com desenvolvimento, deploy e monitoramento de modelos em produção. - Domínio de Python e SQL. - Experiência prática com Machine Learning e desenvolvimento de modelos para resolução de problemas de negócio. - Conhecimento em modelagem preditiva, classificação, regressão, clustering e estatística aplicada. - Vivência com plataformas de dados e cloud, como Databricks, Azure, AWS ou GCP. - Experiência com bancos de dados SQL e NoSQL. - Conhecimento em IA Generativa, incluindo LLMs, embeddings, prompt engineering e integração com APIs de IA. - Capacidade de transformar desafios de negócio em soluções analíticas de alto impacto. - Inglês intermediário para leitura de documentação técnica. - Perfil colaborativo e experiência atuando com equipes multidisciplinares. Requirements - Experiência prática em projetos de IA Generativa utilizando RAG, agentes, avaliação de modelos e arquiteturas baseadas em LLMs. - Conhecimento em MLOps e governança de modelos. - Experiência com séries temporais, motores de recomendação ou visão computacional. - Atuação em iniciativas de governança, IA responsável ou definição de boas práticas para uso de IA. - Participação em comunidades técnicas, publicações ou certificações relevantes. - GitHub ou portfólio técnico para compartilhamento de projetos. Benefits - Equipamentos de trabalho de qualidade para você desempenhar suas atividades com excelência; - Day off no mês do seu aniversário, para celebrar como preferir; - Incentivo à educação, com parcerias com instituições de ensino superior e de idiomas; - Plataforma de formação Growdev, com conteúdos práticos e alinhados ao mercado de tecnologia. Company Description Somos uma startup movida por conexões, movimento e confiança. Acreditamos que o crescimento acontece quando as pessoas se unem para aprender, transformar e inovar. Nosso propósito é conectar talentos e empresas, oferecendo soluções que impulsionam a transformação digital e promovem uma cultura de aprendizado contínuo.