• Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes. • Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies. • Submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance. • Implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements. • Provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements. • Conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

• Develop and refine predictive models. • Conduct exploratory data analysis. • Generate AI-driven insights to enhance intelligence and operational planning. • Integrate customer feedback into model iteration cycles, leveraging Agile development methodologies. • Submit Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments. • Implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements. • Conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Role Description The Pharmacovigilance Signal Detection Lead is a senior expert responsible for leading and executing signal detection and evaluation activities across assigned client portfolios. The role combines scientific and epidemiological expertise with operational oversight of signal management workflows, ensuring that emerging safety signals are identified, assessed, prioritized, and communicated in compliance with applicable regulatory requirements (EMA GVP Module IX, ICH E2E, FDA) and client-specific procedures. The Signal Management Lead serves as the subject matter expert for signal-related activities and collaborates closely with medical reviewers, project leads, and client stakeholders. Essential Functions - Lead the design, execution, and oversight of signal detection activities, including quantitative analyses (PRR, ROR, EBGM) applied to spontaneous reporting databases (FAERS, EudraVigilance, VigiBase). - Conduct qualitative signal evaluation integrating data from spontaneous reports, clinical trials, post-authorization safety studies, scientific literature, social media monitoring, as applicable. - Prepare and review signal detection reports, signal evaluation reports, and signal management plans per client SOPs and regulatory expectations. - Ensure signal management activities are completed and reported within regulatory timelines to the appropriate entities (EMA, FDA, UK MHRA). - Oversee systematic medical literature searches (Embase, PubMed) and supervise triage and assessment of results for signal-relevant publications and ICSRs. - Collaborate with the aggregate reporting team on signal-related sections of PSURs/PBRERs and DSURs. - Contribute to Risk Management Plans (RMPs) and REMS as required. - Lead, supervise, and mentor PV Specialists and Sr. PV Specialists assigned to signal detection activities. - Develop and review SOPs and Work Instructions related to signal management in collaboration with the PV Quality Manager and the PV Medical Writing Manager. - Ensure inspection and audit readiness and actively support QA activities including CAPA follow-up. - Interact with the PV Physician and QPPV for scientific exchange pertaining to signal assessment and benefit-risk implications. - Comply with all applicable guidelines, policies, legal, regulatory, and compliance requirements. Qualifications - Advanced degree in pharmacy (PharmD preferred), medicine, life sciences, or epidemiology. - A postgraduate qualification in pharmacoepidemiology or drug safety is an advantage. Requirements - Minimum 4 years of PV experience, with at least 2 years focused on signal detection or pharmacoepidemiology at a PV vendor, CRO, or pharmaceutical company. - Hands-on experience with signal detection methods and regulatory safety databases (FAERS, EudraVigilance, VigiBase) required. - Safety databases (like Oracle Argus Safety, ArisG LifeSphere, Veeva Safety, AB Cube Safety), signal detection tools, literature databases (Embase, PubMed), Microsoft Office Suite. Familiarity with statistical tools is an advantage. Work Environment Remote: Romania / Poland or Portugal To apply for this role: - Step 1: Proceed to follow the form instructions - Step 2: Our HR team will review your application with feedback - Step 3: If successful, HR will arrange your Introductory call - Step 4: A potential online language assessment - Step 5: 1st formal interview - Step 6: 2nd formal interview - Step 7: Offer Disclaimer By attaching your Curriculum Vitae (CV), resume, and/or completing an online application, you are consenting to the collection, processing, use, transfer (including but not limited to other countries/jurisdictions), storage, and disclosure of your personal data as described in the Med Communications, Inc. Privacy Policy. Please read this policy carefully for more information on your rights regarding personal data protection. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or veteran status. Recruitment Agency Notice: Thank you for your interest in working with Med Communications. We kindly ask that recruitment agencies avoid sending unsolicited CVs, as our in-house team manages all hiring processes. Please be aware that any unsolicited CVs or candidate profiles received without prior engagement or agreement with our recruitment team will be considered free and carry no obligation on the part of Med Communications. We thank you for your compliance with our policy. Should collaboration opportunities arise, we will reach out to preferred partners proactively. Your understanding and cooperation are appreciated.

Role Description O time de Data Science da Azos é responsável por construir, evoluir e manter produtos de dados baseados em machine learning com o objetivo de melhorar o economics da companhia: - Aumentar receita - Otimizar custos - Elevar o engajamento de clientes e parceiros - Dar previsibilidade para eventos futuros Estamos em busca de um Data Scientist para construir modelos preditivos e soluções de dados que geram impacto direto no negócio: - Desde motores de decisão automatizada até modelos de segmentação de parceiros, réguas inteligentes de cobrança e iniciativas de engajamento. Você vai trabalhar com autonomia em problemas que vão do dado bruto ao modelo em produção, contribuindo também para iniciativas de visão computacional que estão no centro da próxima geração dos nossos produtos. Como Data Scientist você será responsável por: - Construir e validar modelos supervisionados e não supervisionados aplicados a problemas variados do negócio: classificação de risco, segmentação de parceiros, detecção de padrões e modelos de engajamento. - Desenvolver motores de decisão automatizada, traduzindo regras de negócio e outputs de modelos em fluxos de aprovação, recusa e parametrização de risco. - Contribuir para o desenvolvimento de modelos de visão computacional aplicados à análise e classificação de imagens. - Colaborar com engenharia na integração de modelos e soluções em produtos internos de subscrição e automação. - Comunicar resultados e recomendações de modelos de forma clara para times de produto e negócio. Qualifications - Experiência na construção e validação de modelos supervisionados (classificação, regressão) e não supervisionados (clustering, detecção de anomalias), com foco em problemas reais de negócio. - Vivência com motores de decisão automatizada aplicados a risco, crédito, subscrição ou contextos similares. - Fundamentos sólidos de visão computacional: pré-processamento de imagem, segmentação e classificação visual (OpenCV ou similares). - Python sólido para modelagem e construção de pipelines (pandas, scikit-learn, Hugging Face). - Capacidade de conduzir análises exploratórias e comunicar resultados de forma clara para áreas de negócio. - Git e familiaridade com ambientes cloud (GCP ou AWS). - Formação em Ciência da Computação, Engenharia ou área correlata. Requirements - Experiência prática com OCR (Tesseract, PaddleOCR, Google Document AI ou AWS Textract). - Experiência com modelos multimodais (vision-language) como LayoutLMv3, Donut ou similares. - Vivência com deep learning aplicado a imagens (CNNs, detecção de objetos, segmentação semântica). - Experiência com frameworks de pipeline como Kedro ou similares. - Vivência em insurtech, fintech ou contextos com dados regulatórios e documentais. Benefits - Plano de saúde nacional (apartamento), com opção de incluir dependentes — tudo com o suporte da Pipo. - Plano odontológico. - TotalPass e Wellhub, para equilibrar corpo e mente. - Seguro de vida, trazendo mais tranquilidade para você e sua família. - Licença-maternidade estendida. - Licença-paternidade estendida. - Auxílio-creche para apoiar quem tem filhos. - Educazos: apoio para o desenvolvimento dos nossos Azonautas. - Stock Options como forma de reconhecimento — concedido conforme elegibilidade. - iFood Benefícios: Vale-refeição e alimentação e Clube Ifood. - Auxílio-setup para ajudar na estrutura do seu espaço de trabalho. - Descontos em Farmácias.