Role Description Be part of a team that values safety, inclusion, and excellence. As a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. Are you ready to drive change? If you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! Join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. This position is open to candidates who are currently authorized to work in the United States. We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with at least 2 years of remaining eligibility. Qualifications - Minimum of 2 years experience building data science solutions or relevant experience. - Demonstrated understanding of statistical analysis and machine learning techniques. - Experience with data visualization tools. - Proficiency in programming languages such as Python, R, SQL, and familiarity with Java or Scala. - Experience with data science cloud platforms. Requirements - Work with cross-functional teams to identify business problems and develop data-driven solutions. - Apply data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights. - Develop and implement machine learning models to predict outcomes and improve processes. - Collaborate with stakeholders to understand their needs and provide actionable insights. - Create visualizations and reports to communicate findings effectively. - Maintain and update data pipelines to ensure data integrity and accuracy. - Stay current with industry trends and advancements in data science and machine learning. - Identify, extract, aggregate, and synthesize data using SQL and NoSQL databases, R, Python or other appropriate languages. - Drive moderate to complex data science, machine learning, traditional artificial intelligence, generative artificial intelligence or optimization projects. - Demonstrate operational excellence by monitoring, troubleshooting, and resolving production issues. Benefits - An industry-leading 401(k) and renowned Railroad Retirement program. - A range of robust health care options for you and your dependents, including medical, dental, vision, telemedicine, mental health, and cancer support. - Health care spending accounts (HSA) with employer contributions, as well as life and disability insurance, provided at no cost. - Family benefits including parental, pediatric and family building support, adoption and surrogacy reimbursement, and dependent care spending account (with employer match). - Access to discounts on travel, gym memberships, counseling services and wellness support. - Annual bonus (Incentive Compensation Program). - Generous leave / time off policies.

• Lead the development and implementation of a comprehensive biomedical research data governance program across SMPH, including best practices for research data stewardship and lifecycle management. • Partner with investigators to develop and implement data management and sharing plans for grant applications, ensuring alignment with funding agency requirements and FAIR (Findable, Accessible, Interoperable, and Reusable) data principles. • Facilitate the discoverability, documentation, and dissemination of research datasets, including support for assigning persistent identifiers (e.g., DOIs), developing metadata standards, and depositing datasets into institutional and national repositories. • Establish and oversee data quality, data curation, and data stewardship frameworks that promote the accuracy, consistency, completeness, and usability of research data assets. • Lead the design and implementation of data integration, linkage and secure release methodologies spanning structured, semi-structured, textual, imaging, and other heterogeneous biomedical data sources. • Develop processes, standards, and tools that improve interoperability and enable the secure integration of research, clinical, public health, and other data domains to support advanced research initiatives while protecting privacy of patients and participants in research studies. • Guide the development and use of de-identified, limited, and synthetic datasets that support research access while maintaining appropriate safeguards for PHI and compliance with institutional policies. • Develop and implement methodologies for creating research-ready data products that enable reproducible, secure, scalable, and efficient research workflows. • Conduct and oversee data quality assessments, validation activities, and data fitness-for-use evaluations to ensure that research datasets meet established governance and scientific standards. • Serve as a subject matter expert in biomedical data governance, advising investigators, departmental leaders, and research teams on data stewardship, data sharing, metadata standards, and responsible data use. • Develop and deliver training, educational resources, and consultation services that promote best practices in research data management and governance across SMPH. • Monitor emerging trends, technologies, and policies related to biomedical data governance, FAIR data practices, research data ecosystems, interoperability standards, and advanced data management methodologies. • Directly and indirectly supervise staff supporting research data operations, data stewardship programs, data curation activities, and institutional data governance initiatives across SMPH.

Role Description As a Clinical Data Programming Lead at ICON, you will design and analyse clinical trials, interpreting complex medical data, and contribute to the advancement of innovative treatments and therapies. Your focus will be on coordinating clinical data analysis delivery, resolving issues, and developing team capability. - Lead and oversee the clinical data programming activities across multiple clinical trials, ensuring quality, timeliness, and compliance with regulatory requirements. - Collaborate with cross-functional teams to develop programming strategies and standards for data collection, processing, and analysis. - Provide technical expertise and guidance to programming team members, including programming best practices and troubleshooting support. - Review and validate programming deliverables, ensuring accuracy, consistency, and adherence to predefined specifications. - Contribute to the development and implementation of innovative programming solutions to enhance efficiency and data quality in clinical trials. Qualifications - Bachelor's degree or higher in Computer Science, Statistics, or a related field. - Prior experience in clinical data programming within the pharmaceutical, biotechnology, or CRO industry. - Proven leadership experience, with the ability to effectively lead and mentor a team of programming professionals. - Expertise in programming languages commonly used in clinical research, such as SAS, Python, and/or SQL. - Strong understanding of CDISC standards, FDA/EMA regulations, and ICH-GCP guidelines. - Excellent communication, problem-solving, and decision-making skills, with a focus on driving results and fostering collaboration. - Willingness to travel as required (approximately 15%). Benefits - Competitive base salary and performance related incentives. - Health and wellbeing programmes including medical, dental, and vision coverage where applicable. - Retirement and pension plans. - Life assurance and disability coverage. - Employee assistance programmes and wellbeing resources. - Learning and development opportunities through structured training and career pathways. - Benefits may vary depending on role and location.

• Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling • Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software. • Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks • Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners • Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation • Oversee development of benchmark and challenger models to stress test critical modeling decisions