Type of Requisition: Regular Clearance Level Must Currently Possess: Other Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: Other Job Family: Software Engineering Job Qualifications: Skills: Amazon Web Services (AWS), Computer Programming Tools, Software Solutions, Technical SoftwareCertifications: NoneExperience: 3 + years of related experienceUS Citizenship Required: No Job Description: QUANTUM COMPUTER SCIENTIST Transform technology into opportunity as a Quantum Computer Scientist at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career. At GDIT, people are our differentiators. As a Quantum Computer Scientist, you will play a key role in designing, developing, and implementing software solutions that meet the needs of the U.S. Department of Agriculture’s large-scale conversion for a suite of Java applications from local servers to AWS servers. MEANINGFUL WORK AND PERSONAL IMPACT As a Quantum Computer Scientist, the work you’ll do at GDIT will be impactful to the mission of the U.S. Department of Agriculture. You will play a crucial role in - Help design, develop, evaluate, plan, and test engineering specifications for software programs and applications - Help set up local workspace with Spring Tool Suite and cloned code repositories to be able to apply changes using BitBucket as version control (CI/CD pipelines) - Collaborate with cross-functional teams to define, design, and ship new features - Design and develop cloud-based applications using Java Enterprise Edition (JEE) technologies, Python, and other program languages - Remove old Struts Framework Code and Tag Libraries from Java and JSP files - Update Project Object Model (POM) files and XML configuration files to bring dependencies up to the necessary new version - Run Maven commands for building and testing new codes - Ensure the performance, quality, and responsiveness of applications - Consult business process owners to evaluate process improvement opportunities and potential technology solutions WHAT YOU’LL NEED TO SUCCEED Bring your engineering expertise along with a drive for innovation to GDIT. The Quantum Computer Scientist must have: - Education: BS in Computer Science or relevant - Years of Experience: 3+ years of related experience - Required Technical Skills: - Experience in cloud-based applications using Java Enterprise Edition (JEE) technologies - Effective organizational and analytical skills with the ability to develop and manage concurrent projects - Proven strong communication skills to translate technical software solutions to non-technical clients - Excellent written and verbal communication skills - Desired Programming Tools: - Experience in cloud platforms such as AWS, Azure, or Google Cloud Platform, and with containerization technologies such as Docker or Kubernetes a plus. - AWS (Lambda), Javascript, Git, C++, Java, SQL - Experience with DevOps practices, including CI/CD pipelines. - Clearance: Public Trust (USDA clearance) Location: Remote GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation. The likely salary range for this position is $73,965 - $97,859. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

• Lead data management for complex, global clinical trials from study setup to database lock • Serve as the main client contact for all data management deliverables • Oversee SAE, PK, and external data reconciliation and database deployment • Manage timelines, budgets, and resource allocation to meet customer expectations • Mentor junior data management staff and promote best practices • Drive process improvements and ensure regulatory and SOP compliance

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data. May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: •Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. •Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches. •Executes analytical procedures in the framework of a specific project work request. •Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required. •Contributes to the interpretation of data analysis and to writing reports. •Helps customers understand the data set and provide training and suggestions for improvement on the data request. •Leverages communication and interpersonal skills and works with subject matter experts •Presents findings in easy to understand terms for the business or clinical practice. 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.

Company Description At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better health care, no matter where you work within the Northwestern Medicine system. We pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, our goal is to take care of our employees. Ready to join our quest for better? Job Description Job Title: Senior Data Scientist Location: Chicago, IL Compensation: $114,180 - $182,689 per year Responsibilities: Build models by executing predefined experiments and templated code within the standard model development paradigm (25%). Data extraction and preparation for use in solution building (20%). Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems (25%). Provide technical and infrastructural advice on model builds, solution design, and requirements (15%). Help train the rest of the team in product lifecycle management, solution design, technical tool usage, and machine learning specifics (15%). ***Remote work requests will be considered consistent with petitioner's remote work policy. Requirements: Master’s degree in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 5 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. In alternative, we will accept a Doctorate (Ph.D.) in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 3 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. Additionally, we require: experience running projects from inception to deployment; familiar with the product development lifecycle; proficiency in SQL, Python, and a deep learning library like PyTorch; experience with machine learning algorithms and frameworks like scikit-learn (sklearn) or SparkML for building and evaluating models; professional experience using cloud platforms like Azure for scalable data processing and model deployment; experience with software engineering principles around testing, code reviews, and deployment; experience utilizing problem-solving skills to analyze complex problems, break them down into manageable tasks, and develop effective solutions; experience working effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutions; experience leading and influencing cross-functional teams; experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutions; experience with feature engineering and selection methods to improve model performance; experience mentoring on topics like programming, deployment, maintenance, project lifecycle, and working with stakeholders. We will accept any suitable combination of education, training, and experience. Requisition # LMT90751K Qualifications Additional Information All your information will be kept confidential according to EEO guidelines. Northwestern Medicine is an equal opportunity employer (disability, VETS) and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status. Background Check Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check. Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act. Artificial Intelligence Disclosure Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person. Benefits We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section to learn more. Sign-on Bonus Eligibility (if sign-on bonus offered for position): Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign on bonus. Exception: New graduate internal employees seeking their first licensed clinical position at NM may be eligible depending upon the job family. - Job Shift: Day Job (1st) - Salary Range Minimum : $54.90 - Salary Range Maximum: $87.84 - Compensation: USD 54.9 - USD 87.84 - hourly