Safety & PV Specialist I Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. • We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities - Enter information into PVG quality and tracking systems for receipt and tracking ICSR as required. Assists in the processing of ICSRs according to Standard Operating Procedures (SOPs) and project/program-specific safety plans as required. Triages ICSRs, evaluates ICSR data for completeness, accuracy, and regulatory report ability. Enters data into safety database. Codes events, medical history, concomitant medications, and testsCompiles complete narrative summaries. Identifies information to be queried and follows up until information is obtained and queries are satisfactorily resolved. Assists in the generation of timely, consistent, and accurate reporting of expedited reports in accordance with applicable regulatory requirements. - Maintains safety tracking for assigned activities. - Performs literature screening and review for safety, drug coding, maintenance of drug dictionary, MedDRA coding as required. - Validation and Submission of xEVMPD product records, including appropriate coding of indication terms using MedDRA. - Manual recoding of un-recoded product and substance terms arises from ICSRs. - Identification and management of duplicate ICSRs. - Activities related to SPOR / IDMP. - Quality review of ICSRs. - Ensures all relevant documents are submitted to the Trial Master File (TMF) as per company SOP/Sponsor requirements for clinical trials and the Pharmacovigilance System Master File for post-marketing programs as appropriate. - Maintains understanding and compliance with SOPs, Work Instructions (WIs), global drug/biologic/device regulations, GCP, ICH guidelines, GVP, project/program plans and the drug development process. - Fosters constructive and professional working relationships with all project team members, internal and external. - Participates in audits as required/appropriate. - Applies safety reporting regulatory intelligence maintained by Syneos Health to all safety reporting activities. Qualifications: - Bachelor’s Degree in life science, registered nurse, pharmacist or an equivalent combination of education and experience that gives the individual the necessary knowledge, skills, and abilities to perform the job. - Safety Database systems and knowledge of medical terminology required. - Good understanding of clinical trial process across Phases II-IV and/or post-marketing safety requirements, ICH GCP, GVP and regulations related to Safety and Pharmacovigilance. - Proficiency in Microsoft Office Suite (Word, Excel, and PowerPoint), Visio, email (Outlook), Team Share (or another management/shared content/workspace) and internet. - Ability to work independently and in a team environment. - Excellent communication and interpersonal skills, both written and spoken. - Good organizational skills with proven ability to prioritize and work on multiple tasks and projects. - Detail oriented with a high degree of accuracy and ability to meet deadlines. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. http://www.syneoshealth.com Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Santex is a US-based global company founded in 1999, with 26 years of experience in the software industry. Headquartered in California with offices in Córdoba, Argentina, its talent network spans over 18 countries thanks to its flexible, remote-first culture. Santex specializes in custom enterprise software development, operating through Hubs that include eCommerce, BIM, Mobility, Content Delivery, Integration, Web & Mobile Development, Cloud Computing, Artificial Intelligence (AI), Data Science, IT Consulting, and Services. The company is committed to making a positive impact across three dimensions: economic, social, and environmental. Job Description: Machine Learning Engineer We are looking for an experienced and driven Machine Learning Engineer to join our Advanced Analytics team. You will play a pivotal role in advancing our machine learning capabilities, focusing on the building, training, deploying, scoring, and monitoring of models for various use cases, including personalized recommenders, forecasting, and LLM modeling. Responsibilities - Model Development & Deployment: Develop and deploy Machine Learning, Deep Learning, and GenAI models to enhance operational efficiency and customer experience. - Continuous Improvement: Improve models by monitoring performance, conducting A/B testing, and implementing feedback loops. - Architecture & Scalability: Architect and rebuild complex ML frameworks from the ground up, incorporating multi-threaded processing and distributed workloads to support scalable pipelines. - Cross-functional Collaboration: Work with engineers and product managers to integrate AI solutions into production systems within a fast-paced Agile environment. - Operational Excellence: Own production ML systems, participating in on-call rotations, troubleshooting incidents, and maintaining overall model reliability. - Innovation: Stay updated with the latest advancements in AI to ensure our solutions remain cutting-edge. Requirements - Education: Bachelor’s or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. - Experience: 3+ years of experience designing, building, and operating production-scale machine learning systems. - Technical Mastery: Expert-level programming in Python with extensive experience using PySpark and distributed data platforms (e.g., Databricks) for large-scale datasets. - Deep Learning & Frameworks: Strong experience with Scikit-Learn, MLlib, and PyTorch, including regression, time series, clustering, and deep learning. - Distributed Systems: Deep understanding of Spark execution models, partitioning strategies, shuffle optimization, and vectorized processing (Pandas UDFs). - Data & Cloud: Strong SQL expertise and experience deploying ML workloads to AWS (EC2, S3, DynamoDB, Lambda). - Ops: Experience implementing MLOps / LLMOps practices. Key Competencies - Ownership: Ability to manage strategic initiatives in a rapidly evolving QSR environment. - Adaptability: Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude. - Outcome-Oriented: Focus on analyzing and visualizing data to drive continuous improvement across the business. - Professionalism: Maintain transparency and professionalism in communication within the team and with stakeholders. 📍 Location - Flexible / Remote options available.

• Contribute to advancing Reddit's Search and Recommendations products by designing AI-driven Search experience prioritizing seamless and delightful user experience. • Deeply understand the Reddit search product and drive the vision for the search relevance team. • Enhance core search retrieval and ranking, design and implement new search engine features, build and scale search indexes, develop and test new pipeline components. You will also deploy ML models, integrate LLMs, and ensure robust monitoring and smooth product integration throughout the process. • Collaborate across disciplines and with ML, Product, Infrastructure, and DS teams at Reddit to find technical solutions to complex challenges. • Mentor and guide senior and staff engineers in the team. • Influence org-wide technical direction and partner closely with senior leadership to shape the long-term roadmap

• Interpret vague requirements and develop models to solve real-world problems. • Conduct ML experiments using programming languages with machine learning libraries. • Leverage generative AI to develop innovative solutions. • Optimise machine learning solutions for performance and scalability. • Implement tailored machine learning code to meet specific needs. • Ensure efficient data flow between databases and backend systems. • Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. • Create machine learning architectures using Google Cloud tools and services. • Build and deploy production-grade software for machine learning and data-driven solutions.