• Lead end-to-end ML/AI solution architecture on AWS • Design and implement production-grade ML pipelines • Customize and deploy generative AI applications • Build scalable data processing and ETL pipelines • Develop MLOps practices • Optimize performance, cost, and scalability • Ensure security, compliance, and responsible AI • Collaborate with data engineers, data scientists, product teams, and stakeholders • Mentor junior engineers • Troubleshoot production issues

Role Description Dentro de nuestro área de Data internacional de Eraneos, buscamos un/a Data Scientist Mid-Level con sólida base técnica en análisis de datos, machine learning y estadística aplicada, capaz de desarrollar soluciones end-to-end y traducir resultados complejos en impacto de negocio. Formarás parte de un equipo multidisciplinar trabajando en casos reales, desde la exploración de datos hasta la puesta en producción de modelos, con especial foco en forecasting, NLP y modelos basados en transformers. Responsibilities - Analizar, limpiar y transformar grandes volúmenes de datos estructurados y no estructurados - Desarrollar modelos de machine learning y deep learning para problemas de negocio - Implementar soluciones de forecasting y series temporales - Diseñar y analizar experimentos (A/B testing) - Construir pipelines reproducibles de datos y modelos - Explicar resultados y modelos a stakeholders no técnicos - Colaborar con equipos de Data Engineering, BI y producto - Participar en el ciclo completo de modelos (MLOps) Qualifications - 2–5 años en roles de Data Science o similares - Capacidad para trabajar de forma autónoma en proyectos complejos - Enfoque práctico orientado a impacto en negocio Requirements - Python (avanzado) - PostgreSQL - SQL - Databricks - Pandas, NumPy - PySpark / Spark - Matplotlib, Seaborn o Plotly - Diseño de experimentos / A/B testing - Scikit-learn - Modelos de regresión y clasificación - Clustering (K-Means, DBSCAN…) - Feature engineering y selección de variables - Gradient boosting (XGBoost, LightGBM, CatBoost) - Validación de modelos y métricas (AUC, F1, RMSE…) - ARIMA / SARIMA - Prophet - Modelos con features temporales (LightGBM) - Fundamentos de redes neuronales - PyTorch o TensorFlow/Keras - CNNs y RNNs/LSTMs (nivel conceptual-práctico) - Preprocesamiento de texto (TF-IDF, embeddings) - Hugging Face Transformers - Modelos tipo BERT / RoBERTa - Fine-tuning de modelos - Prompt engineering y uso de APIs de LLMs - SHAP, LIME - Feature importance - MLflow - Git (GitHub/GitLab) - CI/CD (conceptual) - Código modular y testeable (Pytest/unittest) Benefits - Proyectos desafiantes con impacto real - Entorno moderno (cloud, MLOps, LLMs) - Equipo técnico de alto nivel - Crecimiento profesional continuo - Programa de certificaciones oficiales - Flexibilidad horaria y teletrabajo Company Description En Eraneos estamos comprometidos con el respeto a la diversidad y la igualdad de oportunidades. Estamos convencidos de que un equipo de trabajo diverso es la clave del éxito. Por ello, creamos un entorno laboral inclusivo, sin discriminar a ninguna persona por motivos de edad, orientación sexual, nacionalidad, religión, estado civil, discapacidad o identidad de género.

Role Description When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Key Accountabilities - Coordinate and lead a project team to successful completion of a project within timelines and budget. - Interact with clients as key contact with regard to statistical and contractual issues. - Perform QC of derived datasets, tables, figures and data listings produced by other members of the department. - Check own work in an ongoing way to ensure first time quality. - Understand and apply advanced statistical methods. - Lead production and quality control of randomizations, analysis plans, statistical reports, statistical sections of integrated clinical reports and other process supporting documents. - Provide a supporting role as a non-voting independent statistician providing data and analysis for DMC review. - Travel to, attend, and actively contribute to all kinds of client meetings as appropriate (e.g. discussing analysis concepts, presenting, discussing and interpreting study results). Business Development - Support of Business Development, e.g. by actively contributing to study design considerations in internal and client meetings. - Providing and discussing sample size scenarios. - Support of budget and proposal development. - Attending and preparing bid defense meetings for potential studies, programs of work and FSPs. General Activities - Additional responsibilities as defined by supervisor/manager. Qualifications - PhD in Statistics or related discipline with some experience or MS in Statistics or related discipline with significant experience. - The knowledge of pharmacokinetic data is an advantage. - Competent in written and oral English in addition to local language. Requirements - Good analytical skills. - Good project management skills. - Professional attitude. - Attention to detail. - Thorough understanding of statistical issues in clinical trials. - Prior experience with SAS programming required. - Ability to work independently. - Good leadership skills. - Good business awareness/business development. - Willingness to work in a matrix environment and to value the importance of teamwork. Education - PhD in Statistics or related discipline. - MS in Statistics or related discipline.

The Principal Biostatistician II functions independently as a statistical consultant/project manager by applying statistical, programming, and related methods such as machine learning and scientific expertise to the design, implementation, analysis, interpretation, and reporting of research, clinical and administrative studies. The Principal Biostatistician II must possess advanced level expertise in a wide variety of statistical techniques and other skills listed for Biostatistician, to meet the demands of study teams and investigators. The Principal Biostatistician II must possess advanced knowledge of biology and medicine and be able to identify and apply analytical approaches as they relate to these fields. The Principal Biostatistician II will direct development of case report forms (CRFs) and/or databases as well as monitor the progress for most biostatistical aspects of research and clinical studies. The Principal Biostatistician II manages and monitors all aspects of time and project management relating to staff effort, regulatory milestones, and/or goal timelines for at least one team of others either internal or external to the Department or Mayo Clinic. The Principal Biostatistician II will delegate tasks to statistical programmers, Biostatisticians, and other study personnel for most studies. The Principal Biostatistician II will summarize and communicate project findings to study team members, investigators, journal and grant reviewers, committees, and other individuals and entities as needed. The Principal Biostatistician II acts as an expert in writing statistical analysis plans and analysis data set specifications. The Principal Biostatistician II will contribute significantly to grant and report writing, scientific publications and/or regulatory reports, and may publish as a first or senior author in peer-reviewed journals. The Principal Biostatistician II functions as the primary statistician on most studies. The Principal Biostatistician II may serve as a co-investigator, key-personnel, or lead statistician independently on clinical trials, external collaborations or grants as approved by the Department. The Principal Biostatistician II has leadership role(s) in committees, task forces, or working groups within and/or outside of the Department or Mayo Clinic and may present in professional meetings outside of the Department or Mayo Clinic. Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.