Lead operator accelerating drug discovery and development at Anthropic by identifying high-impact AI applications in life sciences, translating scientific hypotheses into executable plans, and partnering across teams while working hands-on with Claude to demonstrate new capabilities for scientists. Requires biotech startup founding experience, strong scientific taste, and 7+ years taking ideas from concept to results.
300k – 320k/yr
Hybrid7+ YOEOther
About the role
Key Responsibilities
Identify and prioritize areas where AI can most meaningfully accelerate life sciences research
Turn promising scientific ideas into concrete, well-scoped efforts and see them through with speed and ownership
Translate ambiguous scientific questions into structured, testable plans with clear milestones
Work hands-on with Claude and Claude Science to explore hypotheses, design and analyze research, and show what's newly possible
Partner across research, product, and go-to-market teams to shape strategy and bring scientific work to life
Serve as a trusted scientific voice, communicating clearly with both technical and business audiences
Minimum Qualifications
Strong scientific and operating background with direct experience taking ideas from concept to results in a company setting (MD/PhD not required)
Professional experience in a multidisciplinary role at a high-growth life sciences company or a leading science-focused investment or venture firm
Previously founded or joined as a founding team member of a biotechnology startup
Excellent scientific taste and entrepreneurial instinct with a track record of identifying and capitalizing on compelling opportunities before they are obvious
Ability to execute independently with real judgment while remaining hands-on enough to build things yourself
Unique blend of scientific and business literacy, comfortable moving fluidly between the two
Preferred Qualifications
7+ years of direct experience taking ideas from concept to results in a company setting
Comfort navigating ambiguity and building in a fast-moving, frontier environment
Compensation
Annual Salary: $300,000—$320,000 USD
Education
Minimum: Bachelor’s degree or equivalent combination of education, training, and/or experience in a field relevant to the role
Skills
Ai For Drug DiscoveryTherapeutic HypothesesBiotech OperationsScientific Research DesignHypothesis TestingClaude AiScientific CommunicationStrategic PlanningCross-Functional Collaboration
Similar roles
National Security Policy Lead, Biotech
AnthropicWashington, DC
Lead Anthropic's biotech policy strategy, translating frontier AI biological capabilities into U.S. federal and international policy proposals, partnerships, and thought leadership on biosecurity, bio-innovation, and competitiveness. Requires TS/SCI clearance, deep biotech/biosecurity expertise, scientific fluency, and 10+ years policy experience.
295k – 345k/yr
Hybrid10+ YOEOther
Competitive Intelligence Lead
OpenAISan Francisco, CA +1
Senior individual contributor owning high-priority competitive analyses, executive insights, and GTM enablement. Turn competitor, product, and market signals into recommendations that shape product roadmaps, positioning, pricing, and sales strategy at OpenAI.
293k – 325k/yr
On-site8+ YOEOther
Agentic Risk Analyst
OpenAISan Francisco, CA
Shape OpenAI’s operating picture for agentic risk by building and maintaining a cross-functional risk portfolio, synthesizing signals from investigations and evaluations, and driving coordinated mitigations across product, safety, security, and policy teams.
288k – 425k/yr
Hybrid7+ YOEOther
Events Lead, Brand
AnthropicSan Francisco, CA +1
Own strategy and execution of brand-focused events at Anthropic, from intimate thought leadership gatherings to large-scale industry activations. Manage a team and lead end-to-end production while collaborating cross-functionally with brand, communications, policy, and product teams.
320k – 400k/yr
Hybrid15+ YOEOther
Practice Lead, In-house Transformation
HarveySan Francisco, CA +1
Senior advisor partnering with enterprise in-house legal teams to design and lead AI transformation programs, build playbooks, and drive adoption strategy. Requires JD plus 12+ years practicing law including in-house experience.