Role Description The Data Scientist applies advanced mathematical, statistical, and machine learning methods to operational problems drawn from freight and transportation networks—routing, network structure, utilization, demand and cost modeling, and prediction. This is an analytical role, not a data engineering or MLOps role; the focus is on formalizing ambiguous business questions, selecting and defending appropriate methods, and communicating findings and their limitations to operational and executive stakeholders. Graph-structured data is central to how the business is modeled, so comfort reasoning about networks is a distinct advantage. - Translate ambiguous operational problems into well-posed statistical, mathematical, or graph-theoretic questions - Design and run analyses including statistical modeling, regression, optimization, simulation, and predictive/ML modeling - Build and validate predictive models, and clearly characterize where they generalize and where they do not - Work directly with real data—cleaning, exploring, and interrogating it before modeling - Communicate methods and results to operational and executive stakeholders, including the reasoning behind methodological choices and their limitations - Distinguish correlation from causation and signal from artifact, and state clearly when the data cannot answer the question Qualifications - STEM degree required; Master's or PhD in a quantitative field (statistics, applied math, operations research, physics, computer science, or similar) strongly preferred - 4+ years of applied analytical or data science experience (mid–senior) - Strong foundation in statistics, probability, and applied mathematics (linear algebra, optimization, or similar) - Experience with predictive modeling and machine learning, and the judgment to know when a simpler method is the right one - Proficiency scripting in Python or R for analysis—clean, correct code, without an expectation of shipping production systems - Fluency with data manipulation (SQL, pandas/dplyr, or equivalent) - Ability to reason about uncertainty and clearly state assumptions and their consequences - Demonstrated ability to explain technical work to non-technical audiences - Graph/network analysis (community detection, flow, shortest-path, centrality) or graph-based ML - Time series, causal inference, or experimental design - Optimization or operations research applied to logistics, routing, or scheduling - Domain exposure in trucking, freight, logistics, or supply chain Benefits - Thrive in a supportive team that provides coaching and training to help develop your skills and progress your career - Dispersed work environments that promote a healthy work-life balance - Meaningful and impactful work and projects with an essential service provider - Join our engaging Wellness Program & extracurricular sports teams Company Description - Celebrating over 50 years in Business - Active in giving back through Corporate Social Responsibility and Charitable Giving - Committed to environmental sustainability Bison Transport is committed to Diversity and Inclusion in the Workplace.

• Be able to lead a small clinical study or co-lead a larger study or studies with moderate guidance • Be able to support several clinical studies with minimal guidance • Manage and monitor the progress of data management activities with CROs or other vendors on assigned studies • Review protocols for appropriate data capture including electronic Case Report Form (eCRF) design. Be able to perform a thoroughly detailed review of eCRF data requirements. • Interact with CRAs, programmers, study managers and statisticians in designing eCRFs and creating the annotated eCRF and CRF completion guidelines. • Develop data edit check specifications and run data listings as required • Coordinate the design and testing of Electronic Data Capture (EDC) systems according to company standards. Able to resolve EDC system issues with team members • Develop the Data Management Plan for a clinical study. Able to review and provide feedback to the clinical team on other study documents e.g. Clinical Monitoring plans, Statistical analysis plans and vendor specifications • Enter data queries into the EDC system to be resolved at investigational sites and manage the resolution of those queries • Perform reconciliation of header data from external data sources against the clinical database • Perform Serious Adverse Event reconciliation activities according to SOPs and guidelines • Assist in database upgrades/migrations including performing User Acceptance Testing • Able to maintain study workbooks and data management files • Perform database lock and freeze activities per company SOPs • Participate in regular team meetings and provide input when appropriate • Provide input into the development of data management SOPs, Work Instructions, and process documents • Contribute to a professional working environment including the application of the client’s Code of Business Conduct and Ethics • Assist with the training of new employees and/or contractors

• Offer quality coverage to millions of customers • Honor the iconic brand • Innovate to exceed customer expectations • Make an impact on local communities

Role Description We are looking for a Sr Clinical Data Specialist to join our team in a client-dedicated role, supporting complex and innovative oncology studies. In this client-facing position, you will take ownership of external data oversight, including: - Data acquisition - Integration - Review - Reconciliation from various third-party vendors such as central labs, imaging, and eCOA providers You will ensure external data is delivered in accordance with client quality standards, data integrity requirements, and study timelines. Acting as a key liaison between the client, vendors, and internal stakeholders, you will contribute to the development and execution of study-specific data strategies and play a critical role in ensuring the successful delivery of high-quality data for oncology clinical trials. Summary of Responsibilities: - Support development of the Vendor Data Plan (VDP), including the Data Quality Review reconciliation section, or sponsor equivalent, for the external vendor data transfer(s), obtain final approvals and file document to the Trial Master File (TMF) as applicable. - Collaborate with external vendor and sponsor counterparts for study expectations including milestones, deliverable timelines, communication expectations, etc. - Participate in review of external vendor Statement of Work (SOW) for study scope, ensuring all protocol specified parameters are present as applicable. - Ensure electronic external vendor data transfers contain all protocol specified parameters, is in correct format, and data populates to the specified fields and subjects correctly as designated in the Vendor Data Plan (VDP) or sponsor equivalent. - Assist with development and documentation of external data edit checks and reports in the edit check template or sponsor equivalent, obtain approvals and perform QC/UAT to verify the checks and reports are functioning properly. - Assist with review of external data discrepancies generated by edit checks and reports and perform subsequent query management to resolve data issues. - Maintain appropriate documentation of data issues in both study and vendor logs and follow outcome to resolution. - Assist with review of draft protocols from an external data perspective and assist with review of eCRF design per protocol parameters. - Work with other study team functions to gather feedback and address any issues that could impact data review or analysis. - Work with clinical staff to obtain and QC local laboratory ranges and verify the normal ranges are properly attached to the subject results in the local lab data. - Participate in study team and department meetings as applicable. - Effectively plan and support multiple high quality external data management projects simultaneously and provide updates to line management or other relevant stakeholders as requested. - Complete Fortrea and sponsor (if applicable) training in a timely manner and perform job functions in accordance with set guidelines. - All other duties as needed or assigned. Qualifications - University/college degree in life sciences, health sciences, or related fields. Requirements - 4+ years prior experience in the pharmaceutical, biotechnology, medical device/diagnostics, or clinical trial industries or an equivalent combination of education and experience to successfully perform the key responsibilities of the job. - Project Management experience strongly preferred. - Basic understanding of medical terminology a plus. - Strong organizational, planning, and critical-thinking skills. - Well-polished, inclusive, and engaging communication skills (written and verbal) to support effective interactions with sponsors and internal colleagues. - Strong negotiation skills to facilitate, guide, influence, and produce a unified approach within a global, cross-functional environment. - Ability to handle multiple tasks in a timely and professional manner under demanding conditions. - Ability to use standard Microsoft suite of software products. - Strong technical aptitude. - Ability to maintain confidentiality of data and information during interaction with staff at all levels. - Understanding of ICH-GCP principle. Benefits - If you meet these requirements and are enthusiastic about contributing to a dynamic work environment, we encourage you to apply and be part of our team!