About the Position The Researcher, Emerging Technologies, is responsible for developing an evidence base for the Research team’s efforts to operationalize, scale and sustain Digital Promise’s commitment to merging tech in classrooms, and specifically the organization’s AI Literacy initiative. The Researcher will support the vision and strategy for the development and implementation of curricular and pedagogical resources, as well as the relevant learning experiences that build capacity for AI Literacy in PreK-12 education. The Researcher will coordinate internally and externally with a range of partners to design, deliver, and facilitate these resources and learning experiences for educators, learners, communities, and edtech providers that spread and advance AI Literacy, in alignment with the work of the Powerful Learning Research team. The Researcher reports directly to the Deputy Director of PL Research. This position is a term-limited opportunity for 18 months, with the potential for conversion to a full-time employee or contract employee role upon successful completion of the term. Responsibilities - Drive Equitable AI Literacy Implementation: Support the development of AI Literacy resources, their implementation in the classroom, and the strategic dissemination and integration of these resources in learning environments. Ensure these resources are implemented equitably and thoughtfully, with a focus on benefiting students historically excluded from traditional educational systems. - Foster Collaboration & Learning: Collaborate internally with the Practice and EdTech teams, Digital Promise colleagues and externally with partners to foster a collaborative environment for innovation. This may include co-hosting workshops, facilitating knowledge sharing, and connecting focal audiences across the emerging technology landscape. - Measure Impact & Advocate for Change: Co-design metrics of evaluation to track and analyze the impact of AI Literacy resources and professional learning on learning experiences and outcomes. Continuously utilize this data to advocate for the effective and equitable development of AI Literacy learning experiences in education. - Bridge the gap between developers of cutting-edge technologies and schools: Co-design implementation plans and supports for integrating AI Literacy into teaching and learning. - Lead Cross-functional AI Literacy Initiatives: Collaborate across Digital Promise and with additional subject matter experts to create and facilitate learning experiences that drive district, teacher, and student adoption of emerging technologies, including AI Literacy, in safe and equitable ways. - Develop Resources: Create resources for schools, districts, and students that help them to use, understand and evaluate emerging technologies in equitably, thoughtfully, and powerful ways, including resources to support the adoption of Digital Promise and non-profit driven quality indicators. - Host virtual and in person convenings: Facilitate peer-to-peer learning across districts, schools, edtech, and researchers. - Budget Management: Collaborate with the Operations team on project operations and budgeting, to include expense and revenue management and knowledge management. - External Communications: Partner with the Communications team to represent Digital Promise through presentations at national conferences, authoring blogs and reports, and managing the public sharing of AI Literacy project stories, outputs, and learnings. - Monitor Evolving Innovations in Emerging Technologies: Stay current with the latest trends, research, and advancements in AI Literacy and emerging fields, analyzing their potential impact on education and recommending actionable strategies to support emerging technology and edtech implementation. - Commitment to Equity in Education Outcomes: Deep commitment to eliminating opportunity and achievement gaps for historically and systematically excluded learners. - Commitment to Diversity, Equity and Inclusion: Strong understanding of the challenges faced by historically and systematically excluded communities and experience leading design of inclusive solutions for and with diverse participants. Qualifications - Education: A master’s degree or higher in Education, Learning Technologies, Emerging Technologies, Instructional Design, or a related field. Doctorate in aforementioned areas preferred. - Experience: 5+ years of work experience in education, including classroom, digital learning, and learning technologies. - - Experience leading and managing Implementation projects, preferably in the education sector. - Public and presentation track record in emerging technologies, and specifically around the use of generative AI tools to support PK-12 learners - Demonstrated experience effectively supporting teams in developing and implementing Implementation processes resulting in the creation of solutions (programs, curriculum, tools, etc…). - Demonstrated experience and knowledge in developing, implementing and facilitating project management process, human-centered design, technical and non-technical solution design and development. - Ability to execute on high-value and high-visibility deliverables (tools, reports, presentations) for internal and external audiences, with attention to detail and excellence. - Experience managing multi-stakeholder projects, including program design and evaluation. - Demonstrated knowledge of the education sector, and specifically the marketplace of education solutions and new models for researching and designing education programs and products. - Experience developing partnerships; managing medium to large-scale projects and delivering outputs on time and on budget; and working with and managing multiple external stakeholders - Demonstrated commitment to personal reflection on equity-centered ways of being, mindsets, and ways of working. A commitment to advocating for equity in education and an understanding of communicating to and with diverse audiences. - Ability to work and thrive in a fast-paced environment and manage competing tasks, deadlines, requirements, and decisions - Ability to travel to school districts and to Implementation convenings, education conferences, and critical stakeholder meetings as required - A passion for learning, a team mentality, creativity, and a positive “can-do” “yes-and” spirit. Working Conditions Digital Promise Global is a hybrid organization. Employees are expected to travel at least 4 times a year for in-person meetings and the annual staff retreat. Additional travel may be required based on role and responsibilities. - Travel up to 30% - Physical/Sensory Demands Fast-paced working environment. Extensive computer usage and online engagement & communication. Must be willing to build inclusive relationships and collaborate with employees at all levels within the organization and external partners. - Special Provisions: Occasional work outside of normal business hours, such as weekends and evenings required. Special Provisions: Occasional work outside normal business hours, such as weekends and evenings required. Compensation We consider candidate experience and location when determining where a candidate may fall within that range. Digital Promise Global offers a competitive total rewards package including coverage of 85% of health insurance premiums for employee coverage and 75% of health insurance premiums for dependent and family coverage, 15 vacation days, 12 sick days, 3% 401k employer contribution, 3% employer 401k match, and a flexible work environment. The full-time salary range for the position is based on geographical regions, with exact salary depending on relevant experience. This position is a term-limited opportunity for 12 months, with the potential for conversion to a full-time employee or contract employee role upon successful completion of the term. California: $107,130-$116,582 DC Metro Area & NYC: $97,391-$105,984 National: $87,652-$95,386 To Apply Please apply and submit your resume, cover letter, and salary requirements. Applicants are encouraged to submit their materials as soon as possible. Submissions are reviewed on a rolling basis until the search is successful. Digital Promise is an equal opportunity employer and considers all applications without regard to race, color, religion, creed, sex/gender, national origin, age, genetic information, disability, marital or veteran status, or any other legally protected status.

Role Description Vaxcyte is seeking Senior Associate Scientist (Contract), Conjugation Development, who will support the development of a robust process for generating the company’s proprietary pneumococcal conjugate vaccine. This role will focus on review of analytical data and electronic notebook entries for accuracy and adherence to SOPs. This is a remote, part-time position with flexible working hours that requires strong organizational skills, clear communication, and a high level of attention to detail. Essential Functions - Review analytical assay data for adherence to SOPs and accuracy. - Review electronic notebook entries for completeness and accuracy. - Track shipping details for vendor-supplied samples. - Draft and update data analysis templates to reflect new and updated analytical methods and for continuous improvement. - Maintain organized records of review status of notebook entries and analytical data. - Contribute to reports, certificates, and other documentation supporting process development. - Collaborate effectively with team members and contribute to cross-functional activities. Qualifications - BS degree in Chemistry, Biochemistry, or related field with minimum 5 years of industry experience, or MS degree with minimum 3 years of industry experience. - At least 2 years of experience in an analytical development or quality control role. - Prior experience running colorimetric assays is required. - Prior experience with SEC-MALS is required. - Prior experience with SDS-PAGE is required. - Excellent attention to detail, organizational skills, and record-keeping abilities. - Ability to work both independently and collaboratively in a fast-paced environment. - Commitment to integrity, professionalism, and safety in all aspects of work. Reports to Associate Director, Conjugation Development Location San Carlos, CA Expected Contract Length 12 months Hourly Range $56.00 - $62.00 (SF Bay Area). Hourly ranges for non-California locations may vary. Equal Opportunity Employer We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

• Contributing to study conceptualization and design, literature reviews, proposal writing, statistical analysis plan • Executing statistical analysis per specifications in study protocol and under supervision of experienced research scientists • Contribute to reporting and interpretation of results

About Deep Origin Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale. As part of strategic government-backed initiatives and the expansion of our AI-driven simulation infrastructure, we are scaling our capabilities in whole-human modeling and predictive toxicology. Role Description We are seeking a Computational ADMET Scientist with deep expertise in drug metabolism to design and build predictive systems for Phase I and Phase II metabolic pathways. Your work will directly contribute to the development of AI-driven tools that predict metabolic routes, enzyme/isoform involvement, sites of metabolism, regioselectivity, and metabolite toxicity—helping accelerate safe and effective drug design. This position calls for a creative scientist who thrives at the intersection of data mining, statistical and kinetic modeling, as well as cheminformatics, machine learning, and computational chemistry. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. The applicant must be comfortable working fully remote.