Role Description We are seeking a collaborative, detail-oriented, and scientifically driven Clinical Data Manager to support the planning, execution, and oversight of clinical data management activities across our gene therapy clinical development programs. Reporting to the Senior Director of Clinical Data Management, this individual will partner cross-functionally with Clinical Operations, Biostatistics, Medical Monitoring, Regulatory Affairs, Pharmacovigilance, Quality, and external CROs/vendors to ensure delivery of high-quality, reliable, and inspection-ready clinical trial data. The Clinical Data Manager will oversee data management activities across one or more clinical studies or workstreams, supporting study startup, database development, data cleaning, reconciliation, reporting, database lock, and regulatory submission readiness activities. The Clinical Data Manager will ensure the accuracy, consistency, completeness, and high quality of the clinical data. The ideal candidate is a proactive problem solver who thrives in a fast-paced biotech environment and is passionate about supporting transformative therapies for patients with serious diseases. Responsibilities - Serve as the Clinical Data Manager for assigned studies and/or lead specific, specialized data management workstreams (e.g., manual data review, external vendor data management) across multiple studies within a clinical program. - Participate in protocol and amendment reviews of assigned studies or program workstreams to ensure optimal CRF design and cross-study data standardization. - Partner with Clinical and Biometrics to develop or contribute to comprehensive Data Management Plans and Data Review Plans, covering all aspects of data collection, processing, reconciliation, review, and archival for the assigned scope. - Lead or support the design and build of the clinical databases and review tools to ensure they support clinical study objectives. - Responsible for user acceptance testing (UAT) within assigned study scopes or workstreams, including authoring and/or executing scripts. - Oversee or execute assigned aspects of data collection and review, which may include: monitoring data flow, performing discrepancy management, leading and participating in data review or reconciliation activities, and planning/facilitating database lock. - Manage timelines for assigned CDM activities to support corporate and clinical program objectives. - Ensure complete, accurate and inspection-ready CDM documentation within the assigned scope. - Act as team SME for key data systems and data streams, and process enhancement efforts. - Contribute to program deliverable timeline creation. - Perform additional duties as assigned. Qualifications - BS/BA and/or MS degree Bachelor’s degree or equivalent combination of education/experience in science or health-related field with 4 years of direct data management experience (Rare disease experience highly desirable). - Strong knowledge of CDM processes, EDC systems (Medrio and Medidata RAVE preferably), database programming, and quality management. - Understanding of the MedDRA and WHODRUG coding processes. - Knowledgeable in GCP standards, CDISC standards (CDASH, SDTM, ADaM), FDA and ICH guidelines, and recommended CDM Best Practices. - Outstanding problem-solving abilities and influencing/negotiation skills. - Excellent interpersonal, communication, and leadership skills. - Logical thinking, attention to detail and accuracy, good organizational skills, and problem-solving abilities. - Ability to prioritize and adapt quickly to changing business conditions with a positive attitude. - Willing to travel if required. Preferred Qualifications - Experience supporting gene therapy, rare disease, neurology, or cell therapy clinical programs. - Experience with electronic patient reported outcomes. - Experience with the review, reconciliation, and cleaning of neurodevelopmental, behavior, and motor assessments. - Experience operating with in-house data management as well as managing outsourced CRO/vendor data management models. - Familiarity with biomarker, genomic, imaging, longitudinal, or complex external datasets common within gene therapy development. - Experience supporting global clinical studies, regulatory inspections, and submission activities preferred. - Experience in an emerging biotechnology or growth-stage company environment preferred. - Knowledge of CDISC SDTM/ADaM principles and clinical data standards preferred. Benefits - Comprehensive benefits package, including competitive employer premium contributions. - Meaningful stock option grants. - PTO, sick time, and holiday pay. - Generous Parental Leave program. - Pre-tax medical and dependent care programs. - STD, LTD, Life and AD&D. - Professional development opportunities. - Team-building events. - Fully stocked kitchen. - Fitness center. - Employees (and their families) may obtain medical, dental, vision and basic life insurance benefits through the company and enroll in our company's 401k plan. - Employees will also accrue vacation time off and paid sick time off and may become eligible for paid parental leave. - Employees will also enjoy designated paid holidays throughout the calendar year.

Role Description This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms. - Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and additional platforms. - Implement real-time and batch data ingestion strategies. - Manage customer event tracking and identity resolution within Segment. - Orchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggers. - Ensure data integrity and feedback loops from Braze back into Snowflake via Segment. - Automate data transformations and enrichment using scripting languages. - Monitor system performance and troubleshoot integration issues across platforms. Qualifications - 3+ years of experience working with Python and SQL. - Experience performing data modeling and ETL processes. - Data Orchestration Platforms. - Customer Data Schema Design - Entry Level. - Knowledge in API Integrations and Webhooks. - 2+ years of experience in Segment CDP. - Hands-on experience working with Snowflake. - Experience working in a Marketing environment. Requirements - Braze experience or any other marketing tool (Nice to Have). Benefits - Competitive salary and performance-based bonuses. - Comprehensive benefits package. - Career development and training opportunities. - Dynamic and inclusive work culture within a globally renowned group. - Private Health and Dental Insurance. - Pension Plan. - Meals tickets. - Life Insurance.

Title: Senior Data Scientist Rockville, MD Alexandria, VA Job Description: Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Join Leidos' all-star team supporting the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level. As a Senior Data Scientist, you will: - Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications. - Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. - Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. - Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms. - Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment. - Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA). What You Bring: - Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree. - 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master's). - Active Top Secret clearance and eligibility for TS/SCI with Polygraph. - Proficiency in Python and at least one other scripting language. - Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms. - Track record of creative problem solving, active learning, and mission-focused outcomes. - Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift). Preferred Qualifications: - Experience supporting military or intelligence community customers. - Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack. - Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark). - Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing). - Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

• Develop price elasticity curves to forecast the impact of rating changes on policyholder retention and conversion, and assess their impact on customer lifetime value • Forecast policyholder retention and conversion for the portfolio based on pricing, operational changes, and business initiatives • Improve the risk segmentation sophistication of our rating plans by developing GLM-based rating factors (in R or Python) and applying advanced predictive modeling techniques • Build and maintain tools to monitor the performance of our existing rating plans and rate level over time, including loss ratio, conversion rate, churn, and lifetime value • Write advanced SQL procedures to pull from large, line item level veterinary bill databases • Estimate the impact of coverage and product changes on pricing • Analyze product design proposals to determine pricing viability, impact on enterprise risk, competitive positioning, and customer value • Stay highly informed on competitor filings to understand how our products and pricing stand relative to the market • Support rate filing and rate indication work, including the development of filings and responses to regulatory objections • Operate seamlessly with product, underwriting, marketing, BI, and IT teams, and communicate complex actuarial concepts to a non-actuarial audience • Propose creative ways to price innovative coverage concepts and ideas