Health and Life Science Policy Lead job opportunity at Anthropic PBC.

Home Jobs In United States Of America Tag: AI Policy & Societal Impacts Health and Life Science Policy Lead position at Anthropic PBC


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Anthropic PBC Health and Life Science Policy Lead
Experience: 12-years
Pattern: full-time
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AI Policy & Societal Impacts

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degreeBachelor's (B.A.)
loacation San Francisco, CA; Washington, DC, United States Of America
loacation San Francisco,..........United States Of America

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About The Role As a member of the product public policy team, you will build Anthropic's healthcare and life sciences policy strategy from the ground up. This role will translate emerging regulations into product opportunities, turn our technical advantages into competitive differentiation, and shape regulatory frameworks to support our mission and enable responsible health AI development and deployment. The role will also engage deeply with our product, GTM, and other cross functional teams. In this role you will: Build/maintain relationships with key US health agencies (FDA, CMS, HHS) and international counterparts Shape Anthropic’s positions on key health policy issues impacting product (e.g., software regulation, reimbursement, explainability) Translate emerging health AI policies and frameworks into specific product opportunities, focusing on ethical and responsible use of AI for health Work closely with product teams to support responsible product development, bringing policy considerations directly into product decisions/pipeline Monitor global regulatory developments and drive policy consultation responses Work with product, go-to-market and cross functional teams to position Anthropic product choices as industry standard You may be a good fit if you: 8-12 years healthcare and/or life science regulatory policy (government and industry) Strong relationships with key health regulatory stakeholders (e.g., FDA, CMS, ONC) Track record tangibly shaping health policy/regulatory frameworks Experience working with health tech product teams (development, deployment) Excellent communicator with strong ability to translate technical AI concepts to regulators and regulatory requirements to product teams Ability to navigate fast-paced, hypergrowth company with autonomy and initiative Technical fluency in LLMs, health technology, and product development The annual compensation range for this role is below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.Annual Salary:$295,000 - $345,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.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. Visa sponsorship: We do sponsor visas! However, we aren'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. 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're interested in this work. We think AI systems like the ones we'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.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. 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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different 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. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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