• Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; • Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; • Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; • Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; • Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; • Serve as lead when working closely with Inovalon’s Enterprise Data Management, Data Integration, MORE2 Registry®, and iPORT+™ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; • Troubleshoot complex production-related issues and coordinate successful resolution; • Assist with the evaluation of data analytic vendors and tools; • Maintain compliance with Inovalon’s policies, procedures and mission statement; • Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; • Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; • Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; • We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such.

Role Description We are seeking an experienced Data Scientist III to join our team. As a Data Scientist III, you will be responsible for the full data science lifecycle, from data acquisition and wrangling to model building, deployment, and monitoring. You will focus on utilizing advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to solve complex problems and develop impactful solutions for our customers. This role requires a strong blend of technical expertise, analytical thinking, and problem-solving skills. You will work collaboratively with cross-functional teams, including engineers, product managers, and data analysts, to ensure data-driven decision making across the organization. Responsibilities - Design, develop, and implement machine learning and deep learning models for various applications, such as customer churn prediction, recommendation systems, anomaly detection, and natural language processing. - Leverage Python programming and its relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and iterate on models. - Explore and experiment with cutting-edge techniques in generative AI to create innovative solutions for government and citizen engagement. - Collaborate with product managers, engineers, and stakeholders to understand business requirements and translate them into data-driven solutions. - Collaborate with software and data engineers to ensure seamless integration of models into Granicus products and platforms. - Perform data analysis, cleansing, and feature engineering to prepare high-quality data for model training. - Develop and maintain robust pipelines for data ingestion, transformation, and model training. - Continuously monitor and evaluate model performance, identify areas for improvement, and iterate on models. - Communicate complex technical concepts to stakeholders in a clear and concise manner. - Contribute to the development of best practices, tools, and frameworks for data science and machine learning initiatives. - Stay up to date on the latest advancements in data science and AI research. Qualifications - Bachelor’s or Master’s degree in computer science, Statistics, Mathematics, or a related quantitative field. - 5+ years of experience in data science, machine learning, or a relevant field. - Proficiency in Python programming and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Strong understanding of machine learning and deep learning algorithms and techniques. - Experience with generative AI models, such as text generation, image generation, or other creative applications. - Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib). - Experience with cloud platforms and big data technologies (e.g., AWS). - Excellent problem-solving, critical thinking, and analytical skills. - Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. Requirements - Knowledge of graph neural networks, reinforcement learning, or other advanced machine learning techniques. - Familiarity with agile software development methodologies and DevOps practices. - Experience with containerization technologies (e.g., Docker, Kubernetes). - Contributions to open-source projects or published research in machine learning, deep learning, or generative AI. - Experience with generative AI models (GANs, VAEs, etc.). - Experience working with government or public sector data. - Experience with data visualization tools (Tableau, Power BI). Benefits - Don’t have all the skills/experience mentioned above? At Granicus, we are trying to build diverse, inclusive teams. - We do not have degree requirements for most of our roles. - If you don’t meet every requirement above but are excited to learn more, we encourage you to apply. - We might just be able to find another role that could be a perfect fit!

• Research, develop, and ship sophisticated pricing models (e.g. Tree-based, Gradient-based, Deep Learning, ensemble methods) to improve valuation accuracy for high-value assets. • Identify new data signals — emanating from data such as auction results to social sentiment — and validate their predictive power through rigorous backtesting and experimentation. • Partner with the Product Engineering team to refine our Risk & Underwriting models, balancing the goal of maximizing cash advances with the need to maintain a balanced lending portfolio. • Collaborate with the Expert Pricing team and domain experts to encode market nuances into automated features and inferences, ensuring our models respect the qualitative factors collectors care about. • Define, monitor, and lift model performance metrics and communicate the "why" behind price coverage, movements, and freshness toward becoming the ultimate liquidity platform.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced Sr. Clinical Data Manager to lead and oversee data management activities for medical device clinical trials, with a focus on Electrophysiology (EP). This role involves ensuring high-quality, regulatory-compliant data collection and analysis to support clinical trials from start-up to submission. - Lead all aspects of data management for medical device clinical trials, ensuring compliance with FDA, MDR, ICH-GCP, and ISO 14155 regulations. - Develop and maintain Data Management Plans (DMPs) and Case Report Forms (CRFs) aligned with study protocols. - Design, validate, and manage Electronic Data Capture (EDC) systems such as Medidata RAVE, Oracle InForm, or Veeva Vault EDC. - Oversee data cleaning, query management, and reconciliation processes to ensure high-quality, analyzable datasets. - Ensure adherence to CDISC/CDASH/SDTM standards, enabling efficient regulatory submission. - Conduct and support data audits, quality control (QC) reviews, and database lock activities. - Serve as the data management lead for multiple studies, collaborating with cross-functional teams including clinical operations, biostatistics, and regulatory affairs. - Work closely with electrophysiology (EP) experts, principal investigators, and clinical research teams to ensure accurate data collection and interpretation. - Provide mentorship and guidance to junior data managers and other team members. - Manage relationships with CROs, vendors, and external data management teams, ensuring alignment with project timelines and quality standards. - Ensure compliance with FDA 21 CFR Part 11, ICH-GCP, ISO 14155 (for medical devices), and MDR regulations. - Support regulatory submissions (e.g., PMA, 510(k), CE Mark, IDE) by ensuring proper data documentation and formatting. - Participate in audits and inspections by regulatory bodies and implement corrective actions as needed. - Stay updated on evolving medical device data management best practices and regulatory requirements. - Generate and review clinical study reports, data listings, and reconciliation outputs. - Support statistical programming and data analysis in collaboration with biostatistics teams. - Ensure seamless data integration with clinical trial management systems (CTMS) and safety databases. Qualifications - Bachelor's or Master's degree in Life Sciences, Clinical Research, Biostatistics, Computer Science, or a related field. - Certified Clinical Data Manager (CCDM) or equivalent certification is a plus. - 5+ years of experience in clinical data management within the medical device industry or related healthcare sectors. - Proven experience in Phase I-IV clinical trials, IDE/PMA/510(k) submissions, or post-market studies. - Strong knowledge of electrophysiology (EP) trials is a plus but not required. - Experience managing EDC systems (e.g., Medidata RAVE, Veeva Vault, Oracle InForm, Medrio). - Familiarity with ISO 14155, CDISC/CDASH/SDTM, and FDA 21 CFR Part 11 compliance. - Knowledge of SQL, SAS, or other clinical data programming tools is beneficial. Requirements - Strong leadership, problem-solving, and analytical abilities. - Excellent attention to detail and ability to manage multiple clinical studies simultaneously. - Strong communication and collaboration skills for working with clinical, regulatory, and biostatistics teams. - Ability to work effectively with CROs, vendors, and external stakeholders. Location and Travel Requirements - This is a fully remote position and may be performed anywhere within the United States of America. - Occasional domestic travel may be required for company meetings, audits, etc.