Role Description Kyverna Therapeutics is seeking a highly experienced Scientific Advisor to support evaluation of emerging CAR T and immune cell engineering technologies. This consultant will serve as a subject matter expert, providing independent scientific assessment of internal platform development strategies, external platforms, technologies, and partnership opportunities. The role is primarily focused on scientific due diligence, data interpretation, evaluation, and strategic advisory support. The advisor will work closely with internal scientific, clinical, CMC and business teams to evaluate the feasibility, differentiation, and translational potential of next-generation CAR T technology approaches for autoimmune diseases. Responsibilities - Serve as a scientific expert in due diligence efforts for external platforms, technologies and partnership opportunities. - Evaluate CAR T and gene delivery approaches, including vector systems, targeting strategies, and immune cell engineering methodologies. - Assess the scientific validity, differentiation, and translational potential of emerging technologies in the context of autoimmune disease. - Review and interpret preclinical datasets (in vitro and in vivo pharmacology) generated by external partners or collaborators. - Evaluate pharmacokinetics, biodistribution, CAR expression, immune activation, and therapeutic activity. - Assess durability, safety signals, and immune modulation associated with CAR T technology approaches. - Identify key risks, gaps, and data limitations, and propose mitigation strategies. - Advise on translational relevance of preclinical findings, including implications for clinical development, dose selection, and biomarker strategies. - Provide guidance on autoimmune disease biology and appropriate preclinical models to assess therapeutic potential. - Contribute to shaping Kyverna’s broader CAR T and immune engineering technology strategy through an external innovation lens. - Partner with internal teams across Research, Translational Science, Clinical, CMC, and Business Development to align on technology evaluations. - Support business development activities, including scientific input into partnership discussions and technical presentations. - Interface with external collaborators, biotech partners, and CROs as needed to clarify data and approaches. - Present due diligence findings and recommendations to senior leadership and cross-functional stakeholders. Qualifications - PhD in Immunology, Biotechnology, Genetic Medicines, or a related field. - 10+ years of experience in immunology and inflammation (I&I) drug discovery, and cell/gene therapy. - Deep expertise in CAR T, immune cell engineering, and/or gene delivery technologies including autologous, allogeneic and in-vivo approaches. - Strong experience designing and executing CAR T pharmacology studies in immunology or autoimmune disease. - Experience working with gene delivery technologies (e.g., AAV, lentivirus, lipid nanoparticles, or other delivery systems) strongly preferred. - Familiarity with CAR biology, immune cell engineering, or cell therapy approaches. - Experience working with autoimmune disease models or immune-mediated disease biology preferred. - Ability to interpret complex datasets and translate findings into actionable program insights. - Prior experience supporting scientific due diligence or external technology evaluation strongly preferred. - Demonstrated ability to assess early-stage technologies with incomplete data and provide clear, actionable recommendations. - Strong communication and collaboration skills with ability to work effectively with cross functional internal and external teams.

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K–2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond. Job Location: US, Remote. Must work and reside within the US for this position. Job Overview: As a Scientist II at Cambium Assessment (CAI), you will play an integral part of our machine learning team, which consists of mathematicians, data scientists, psychometricians, linguists, and software engineers. Our team focuses on natural language applications in educational measurement, with key foci in the automated scoring of student responses for both summative and interim assessments, automated feedback for formative assessments, and automated alerting of disturbing content in student responses. Our team uses state-of-the-art deep learning tools and models different modalities (e.g., speech, text) and is responsible for both prototyping and deploying engines and models. While scientists on the team often develop deep expertise within specific programs or clients for automated scoring, this position emphasizes a cross-program perspective. This position will help maintain coherence and consistency across all programs. The role balances scientific analysis with program-level coordination to strengthen consistency and scalability across CAI’s automated scoring system. Job Responsibilities: - Design and implement studies to obtain, score, model, and analyze results for any of CAI’s current natural language applications, including automated scoring, crisis alert detection, and feedback. - Partner with clients to explain the scoring process and support informed decision-making. - Own cross-program oversight for Autoscore, maintaining an integrated view across states and administrations to ensure coherence. - Drive internal scientific program execution, coordinating calibration, validation, retraining, and monitoring workflows in alignment with administration timelines. - Identify, escalate, and track resolution of scoring risks across programs. Job Requirements: - Ph.D. in psychometrics/measurement, NLP, or statistics or related field; or Master’s degree with equivalent applied experience. - Demonstrated experience with program management or research–practice partnerships. - Experience in k-12 assessment highly preferred. - 2+ years working with teams of software developers, NLP scientists, and/or data scientists. - Experience in working with client-facing work, including presentations. To apply for this opportunity, simply click on the “Apply” button and submit a cover letter and resume. An Equal Opportunity Employer We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

• Support the data collection phase of a social network analysis study mapping collaborative ties among China policy experts. • Manually identify and record collaborative events—co-authored publications, congressional hearings, taskforce memberships, and conference panels. • Power a network analysis examining how collaboration, expertise, and institutional ties shape the U.S. China policy community. • Search individual researcher pages on assigned think tank websites to identify relevant publications. • Search congressional hearing records to identify hearings on China-related topics. • Identify taskforce and working group memberships published on think tank websites. • Record all findings in structured spreadsheet templates following a detailed data entry protocol. • Cross-reference all identified individuals against the project's master person list. • Participate in weekly team check-ins to discuss progress, resolve data entry questions, and ensure consistency across team members. • Conduct a self-quality check against a provided checklist before submitting each batch of data.

• Lead and execute Public Opinion & audience Research • Shape analytical approaches that inform heimatwurzeln’s national strategy and campaigns • Help teams define clear research aims, key questions, and methodological choices that generate actionable insights and address their practical needs • Lead full research cycles—from scoping and design to analysis and presentation of results • Conduct desk research, identifying relevant studies, polling data, and public datasets to build strong evidence bases • Build questionnaires, sampling plans, interview guides that are rigorous and fit for purpose • Analyse qualitative and quantitative data to extract insights that deepen audience understanding • Turn complex data into clear, concise insights with strong narrative logic • Develop structured reports and presentations that highlight implications for strategy and campaigning • Oversee multiple research workstreams, ensuring high-quality delivery across all phases • Translate broad research goals into clear work plans, milestones, and deliverables • Maintain strong communication and collaboration with colleagues, advisors, and partners • Source and manage polling agencies and research suppliers • Write clear briefs, oversee implementation, and ensure data quality and compliance with internal standards • Review outputs, offering analytical feedback and ensuring consistency across projects