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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with Claude Code, the Claude API, and Claude for Enterprise</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel frequently to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>TS/SCI clearance required</li>\n</ul>\n<ul>\n<li>Must have prior experience working with US national security (defense and/or intelligence) agencies</li>\n</ul>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Experience navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Familiar with Python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems</li>\n</ul>\n<p>The annual compensation range for this role is $240,000-$270,000 USD.</p>\n<p>Logistics:</p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n</ul>\n<ul>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n</ul>\n<ul>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n</ul>\n<p>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. 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You&#39;ll leverage your expertise to help customers understand Claude&#39;s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation</li>\n</ul>\n<ul>\n<li>Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams &amp; stakeholders to drive customer success</li>\n</ul>\n<ul>\n<li>Support customers building with both the Claude API and Claude for Work</li>\n</ul>\n<ul>\n<li>Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering &amp; development teams up to business value focused conversations with executives</li>\n</ul>\n<ul>\n<li>Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack</li>\n</ul>\n<ul>\n<li>Help customers develop evaluation frameworks to measure Claude&#39;s performance for their specific use cases</li>\n</ul>\n<ul>\n<li>Identify common integration patterns and contribute insights back to our Product and Engineering teams</li>\n</ul>\n<ul>\n<li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li>\n</ul>\n<ul>\n<li>Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns</li>\n</ul>\n<p>You may be a good fit if you have:</p>\n<ul>\n<li>5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager</li>\n</ul>\n<ul>\n<li>Native German speaker with fluent English proficiency</li>\n</ul>\n<ul>\n<li>Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders</li>\n</ul>\n<ul>\n<li>Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering &amp; IT teams, and more</li>\n</ul>\n<ul>\n<li>Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders</li>\n</ul>\n<ul>\n<li>Experience designing scalable cloud architectures and integrating with enterprise systems</li>\n</ul>\n<ul>\n<li>Comfortable with python</li>\n</ul>\n<ul>\n<li>Familiarity with common LLM frameworks and tools or a background in machine learning or data science</li>\n</ul>\n<ul>\n<li>Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities</li>\n</ul>\n<ul>\n<li>A love of teaching, mentoring, and helping others succeed</li>\n</ul>\n<ul>\n<li>Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. 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However, some roles may require more time in our offices.</p>\n<p>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</p>\n<p>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links,visit anthropic.com/careers directly for confirmed position openings.</p>\n<p>How we&#39;re different:</p>\n<ul>\n<li>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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In this role, you&#39;ll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Lead and execute complex data science projects that directly advance our drug development portfolio</li>\n<li>Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification</li>\n<li>Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints</li>\n<li>Aid in the development and training of AI agents to automate and optimize biomedical workflows</li>\n<li>Collaborate cross-functionally with clinical, technical, and research teams</li>\n<li>Present complex analytical findings to senior stakeholders, including executive leadership</li>\n</ul>\n<p>About You:</p>\n<ul>\n<li>Required Qualifications:</li>\n</ul>\n<p>+ PhD in computational sciences or life sciences   + 3+ years of post-academic experience in life sciences (biotech, pharma, consulting)   + Strong programming skills, particularly in Python   + Extensive experience in multi-modal bioinformatics analysis</p>\n<ul>\n<li>Preferred Qualifications:</li>\n</ul>\n<p>+ Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases   + Strong background in machine learning and deep learning, particularly in biological applications   + Experience with large language models (LLM)   + Demonstrated ability to collaborate effectively with engineering teams on production systems   + Strong communication skills with proven ability to present complex technical findings to senior stakeholders</p>\n<p>Total Compensation Range: $170,000 - $215,000</p>\n<p>Where We Hire:</p>\n<p>Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.</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_54f58a4d-707","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Formation Bio","sameAs":"https://www.formation.bio/","logo":"https://logos.yubhub.co/formation.bio.png"},"x-apply-url":"https://job-boards.greenhouse.io/formationbio/jobs/6623947","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000 - $215,000","x-skills-required":["PhD in computational sciences or life sciences","3+ years of post-academic experience in life sciences (biotech, pharma, consulting)","Strong programming skills, particularly in Python","Extensive experience in multi-modal bioinformatics analysis"],"x-skills-preferred":["Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases","Strong background in machine learning and deep learning, particularly in biological applications","Experience with large language models (LLM)","Demonstrated ability to collaborate effectively with engineering teams on production systems","Strong communication skills with proven ability to present complex technical findings to senior stakeholders"],"datePosted":"2026-04-18T15:53:58.264Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"PhD in computational sciences or life sciences, 3+ years of post-academic experience in life sciences (biotech, pharma, consulting), Strong programming skills, particularly in Python, Extensive experience in multi-modal bioinformatics analysis, Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases, Strong background in machine learning and deep learning, particularly in biological applications, Experience with large language models (LLM), Demonstrated ability to collaborate effectively with engineering teams on production systems, Strong communication skills with proven ability to present complex technical findings to senior stakeholders","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ee99a9f7-534"},"title":"Research Scientist, Societal Impacts","description":"<p><strong>About the role</strong></p>\n<p>As a Societal Impacts research scientist on the Models Research Pod, you&#39;ll close the loop between observing Claude&#39;s behavior and improving it at the model level. You&#39;ll use observational tools like Clio to analyse real-world usage patterns and build evaluations that assess whether Claude provides safe responses aligned with its Constitution.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Using observational tools like Clio to analyse real-world usage patterns and surface insights about how people interact with Claude.</li>\n<li>Building and running evaluations to assess Claude&#39;s behaviour across key dimensions of its Constitution, such as safety and quality of advice in high-stakes situations.</li>\n<li>Partnering closely with fine-tuning, safeguards, policy, and interpretability teams to translate research insights into model improvements.</li>\n<li>Generating insights about the societal impact of Anthropic&#39;s systems and using this understanding to inform company strategy, research priorities, and policy positions.</li>\n<li>Sharing your work through research publications and external presentations, and developing tools and frameworks that make AI systems more understandable to policymakers, academics, and civil society.</li>\n</ul>\n<p><strong>You may be a good fit if:</strong></p>\n<ul>\n<li>You have experience working with machine learning systems and are comfortable with technical infrastructure for interfacing with models.</li>\n<li>You have an interest in societal impacts research; prior experience in this area is a plus but not required.</li>\n<li>You&#39;re adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda.</li>\n<li>You&#39;re skilled at writing up and communicating your results, even when they&#39;re null or unexpected.</li>\n<li>You find it exciting to partner with colleagues across teams on large-scale projects where the whole company contributes to building and analysing AI systems.</li>\n<li>You have a background in machine learning, data science, or another technical field that involves generating insights from complex systems.</li>\n<li>You&#39;re passionate about translating research insights into actionable recommendations for improving AI systems and informing policy.</li>\n<li>For senior candidates: you&#39;re willing to do hands-on work while also helping shape research direction, and you may be interested in management opportunities down the line.</li>\n</ul>\n<p><strong>Some examples of our work:</strong></p>\n<ul>\n<li>Clio: A system for privacy-preserving insights into real-world AI use</li>\n<li>Values in the Wild</li>\n<li>How People Use Claude for Support, Advice, and Companionship</li>\n<li>Economic Index</li>\n<li>How AI is Transforming Work at Anthropic</li>\n<li>Education Report: How University Students Use Claude</li>\n<li>The Capacity for Moral Self-Correction in Large Language Models</li>\n<li>Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviours, and Lessons Learned</li>\n<li>Challenges in evaluating AI systems</li>\n<li>Towards Measuring the Representation of Subjective Global Opinions in Language Models</li>\n<li>Collective Constitutional AI: Aligning a Language Model with Public Input</li>\n</ul>\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_ee99a9f7-534","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5076616008","x-work-arrangement":"hybrid","x-experience-level":"mid|senior","x-job-type":"full-time","x-salary-range":"$350,000 - $850,000 USD","x-skills-required":["machine learning","data science","technical infrastructure","research insights","model improvements","policy positions","research publications","external presentations","tools and frameworks"],"x-skills-preferred":["societal impacts research","adaptable and collaborative","writing up and communicating results","partnering with colleagues","background in machine learning","data science","technical field"],"datePosted":"2026-03-08T13:45:08.034Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"machine learning, data science, technical infrastructure, research insights, model improvements, policy positions, research publications, external presentations, tools and frameworks, societal impacts research, adaptable and collaborative, writing up and communicating results, partnering with colleagues, background in machine learning, data science, technical field","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}}]}