• Design, train, evaluate, and deploy machine learning models for real-time and near–real-time applications. • Partner with the Senior Cloud Engineer to deploy models within cloud pipelines. • Collaborate on the design and optimization of data pipelines used for model training, inference, and monitoring. • Establish metrics for model performance, data drift, and system health. • Analyze the impact of new features and model changes in production environments. • Work closely with cloud, perception, and UI engineering teams to integrate ML outputs into customer-facing products.

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™ Agile Decision Sciences LLC is looking for a Clinical Data Manager 3 to support the growing team. Responsibilities: - Manage the delivery of high-quality data from project start-up and planning to project execution and project closeout on several projects - Independently perform project specific quality control and quality assurance tasks on all projects - Ensure consistency, accuracy, and adherence to federal regulations, Good Clinical Practice, Good Clinical Data Management Practices, as well as SOPs and Working Instructions - Manage patient protocol information and review protocol and incorporate protocol-specific guidelines into the review of clinical trial data on several projects simultaneously - Contribute to the design of the databases and forms, ensuring they meet requirements for entry and reporting of clinical data of varying complexity - Test new processes and systems for the management of data in clinical trials - Test clinical trial databases and data entry screens assuring compliance with protocol and institutional processes and procedures - Process, track, and validate data accurately and on time, in accordance with data processing and entry instructions - Perform data abstraction and data entry on several different protocols into multiple clinical research databases - Develop and extract patient clinical data reports for publications and presentations - Possess proficiency with clinical databases and report tools - Identify project specific reports and assist in the development of these reports - Prepare, review, and submit clinical data to monitoring agencies - Maintain client communication regarding data management project status and review key project questions with clients - Demonstrate a significant amount of initiative, autonomy, and proficiency in all areas above - Train, mentor, and coach other clinical data managers Required: - A bachelor’s degree - 2-4 years of experience in a related or applicable field, or an equivalent combination of education and experience. We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary. EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

• Able to run an entire project with minimal to no supervision • Design and build mathematical/statistical solutions according to business requirements • Translate requirements into programmable statistical models, assess timelines, and evaluate trade-offs between techniques and business needs • Implement all project stages (data collection and analysis, formatting for model ingestion, modeling, and generation of usable outputs) • Ability to guide and teach less experienced team members in any part of the process/lifecycle of a machine learning project • Create and configure intents, entities, and conversational flows using LLMs • Develop statistical and mathematical models in Python • Create and maintain ML projects with CI/CD • Implement business logic and decision rules in models • Ensure performance, scalability, and resilience of integrations • Monitor and optimize the performance of created models • Assist in mentoring less experienced team members

• Develop and deploy data science and machine learning models • Perform data preprocessing, transformation, and feature engineering • Apply statistical analysis and exploratory data analysis techniques • Optimize and tune models for performance • Collaborate with teams to identify business requirements and develop data-driven solutions • Conduct experiments and iterate on models to improve accuracy and efficiency • Communicate technical findings and solutions to stakeholders