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Specialty and Pipeline TA.</li>\n<li>Providing input, appropriate to the Phase of development of a product to ensure US perspective and needs are incorporated into development strategy.</li>\n<li>Active participation and effective collaboration with global teams to assure the efficient and expedient conduct of clinical development programs, aligning them with strategic priorities that support appropriate US direction of the Life Cycle Management strategy.</li>\n<li>Working collaboratively with US New Product Commercialization, Market Access and US regulatory teams to provide expert medical input into strategic plans.</li>\n<li>Serving as a member of Product Team and/or Clinical Strategy Team leadership of multiple assets in different therapeutic areas.</li>\n<li>Supporting development and execution of the US medical strategy, offering critical inputs during design and throughout the end-to-end execution of programs, in alignment with senior medical leadership.</li>\n<li>Collaborating cross-functionally with Global Evidence Generation, Clinical Development, Regulatory, Commercial and other medical affairs partners to develop and implement the Integrated Evidence Plans to improve the value proposition for the portfolio.</li>\n<li>Contributing to publication planning, data interpretation, and scientific dissemination in the US.</li>\n<li>Providing medical scientific input for brand and program documents, including integrated disease area plans, medical information documents, drug safety reporting documents, etc, while ensuring design and execution of all medical activities are according to internal and external compliance guidelines.</li>\n<li>Monitoring and understanding implications of evolving competitor landscape to inform medical strategy.</li>\n<li>Supporting completion of annual New Drug Application (NDA) reports for respective brands through evaluation of clinical data and literature and provide US Medical Affairs input in the preparation of key medical documents for INDs and NDAs.</li>\n</ul>\n<p>Additionally, you will:</p>\n<ul>\n<li>Develop and guide local Thought Leader (TL) engagement strategy, together with cross-functional partners.</li>\n<li>Serve as the US medical expert engaging thought leaders, academic institutions, medical societies, and patient advocacy groups to advance scientific leadership and collaboration.</li>\n<li>Lead and support advisory boards, including agenda development, faculty engagement and synthesis of insights to help inform medical strategy.</li>\n<li>Represent US Medical Affairs at major congresses, symposia and scientific forums.</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>An M.D. or D.O. degree.</li>\n<li>Agility and ability to flex into different therapeutic areas.</li>\n<li>Clinically relevant work experience or independent research experience or equivalent or experience in a pharmaceutical related industry.</li>\n<li>Experience working in or deep understanding of 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Data link topologies traverse infinite permutations of medium including fiber, MANET, military SATCOM, commercial LEO satellite internet, microwave backhaul, and commercial and private 3G/4G/5G cell networks.</p>\n<p>The Connectivity team is responsible for performing technical due diligence with customers (both internal and external) to ensure that the correct network architecture is selected for a given mission, assisting with sourcing of the appropriate hardware and subsequent implementation, and supporting the sustainment of production data links using their subject matter expertise.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Working with Anduril&#39;s customers and their networking engineers to architect connectivity solutions</li>\n<li>Calculating RF link budgets, assessing risk of lost links and commensurate fallback solutions, and presenting such findings to operations and engineering teams</li>\n<li>Designing and maintaining complex network laydowns for ground-based air defense systems, force protection sensor suites, UAVs, and space systems</li>\n<li>Sourcing, evaluating, and maintaining networking equipment and services</li>\n<li>Overseeing network implementation and execution during demonstration events and production site bring-ups</li>\n</ul>\n<p>Required qualifications include:</p>\n<ul>\n<li>2+ years of experience in RF or network engineering with understanding of Layer 3 network design</li>\n<li>Experience with externally-facing technical communication</li>\n<li>Ability to travel up to 15% of the time</li>\n<li>Eligible to obtain and maintain a U.S. Secret security clearance</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Strong aptitude for problem solving in unstructured situations at the interface of hardware, software, and networking. 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A public example of research work is Backstory.</p>\n<p><strong>About Us</strong></p>\n<p>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.</p>\n<p><strong>The Role</strong></p>\n<p>To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You&#39;ll join an interdisciplinary team of domain experts, ML researchers, and engineers to conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation.</p>\n<p>Relevant domains may include, but are not limited to, determining media authenticity, context discovery, and open source intelligence investigations. A public example of recent work is Backstory.</p>\n<p>Key responsibilities:</p>\n<ul>\n<li>Drive the projects by defining key research questions.</li>\n<li>Design, implement, and evaluate experiments to provide clear answers</li>\n<li>Contribute to real world impact, by landing your research in Google products and services.</li>\n<li>Publish research findings in top academic conferences and journals</li>\n<li>Stay up-to-date with the latest advancements in the field</li>\n<li>Collaborate with internal and external scientific domain experts.</li>\n</ul>\n<p><strong>About You</strong></p>\n<p>In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>PhD in Computer Science, Statistics, or a related field.</li>\n<li>Strong publication record in top machine learning and/or computer vision conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).</li>\n<li>Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Passion for research on societal benefits and implications of the internet and AI with focus in information literacy.</li>\n<li>Experience with training, evaluating, and interpreting large language models.</li>\n<li>Experience working with large and noisy datasets.</li>\n<li>Experience collaborating across fields.</li>\n<li>Proven ability to design and execute independent research projects.</li>\n</ul>\n<p>When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.</p>\n<p>We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.</p>\n<p>If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p>\n<p>The US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.</p>\n<p>Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p>\n<p>Application deadline: April 28th, 2026</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d94b43ab-0e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7408812","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$174,000 USD - $252,000 USD + bonus + equity + benefits","x-skills-required":["PhD in Computer Science, Statistics, or a related field","Strong publication record in top machine learning and/or computer vision conferences or journals","Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding"],"x-skills-preferred":["Passion for research on societal benefits and implications of the internet and AI with focus in information literacy","Experience with training, evaluating, and interpreting large language models","Experience working with large and noisy datasets","Experience collaborating across fields","Proven ability to design and execute independent research projects"],"datePosted":"2026-04-18T15:39:36.602Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; San Francisco, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in Computer Science, Statistics, or a related field, Strong publication record in top machine learning and/or computer vision conferences or journals, Expertise in one or more of the following areas: social impact of AI, reinforcement learning, multimodal agents, computer vision, natural language understanding, Passion for research on societal benefits and implications of the internet and AI with focus in information literacy, Experience with training, evaluating, and interpreting large language models, Experience working with large and noisy datasets, Experience collaborating across fields, Proven ability to design and execute independent research projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":174000,"maxValue":252000,"unitText":"YEAR"}}}]}