Software Engineer, Biology & Life Sciences

Details

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

We're seeking an exceptional Software Engineer to join our Life Science team at Anthropic. The team’s north-star goal is to accelerate progress in the life sciences (from early discovery through translation) by an order of magnitude. The role involves prototyping new products and features and developing critical infrastructure that supports life science applications. You will build resilient, production-ready systems that scale to demanding computational requirements while ensuring data integrity and security. As a founding member of the team, you will work at the intersection of cutting-edge AI and biological sciences, collaborating closely with researchers and engineers to translate ideas into reliable production systems while maintaining a commitment to safety and beneficial impact.

Responsibilities

• Develop deep understanding of critical workflows in life science and build novel AI solutions to address the needs of biologists and life science professionals.
• Rapidly prototype novel products and product features.
• Create intuitive interfaces that enable scientists to effectively utilize AI tools for discovery and analysis.
• Collaborate with domain experts to translate complex biological requirements into technical implementations.
• Work closely with research (including post-training) to ensure Claude is uniquely capable of enabling complex workflows in life sciences.

Requirements

• 7+ years of practical experience building production full-stack software with a focus on usability.
• Experience with data analysis and experimentation frameworks.
• Data-driven approach to problem-solving, with ability to identify patterns and opportunities in user behavior and metrics.
• Experience building robust, scalable systems for high-volume production workloads while maintaining reliability and performance.
• Attention to data integrity and security in production systems.
• Strong collaboration skills; ability to work closely with cross-functional partners including researchers and domain experts.
• Education: Bachelor's degree in a related field or equivalent experience.

Strong candidates may also have:

• Experience integrating and working with AI/ML models and understanding their capabilities for scientific use cases.
• Startup experience, particularly building products from zero to one.

Compensation and Logistics

• Annual salary: $300,000 - $320,000 USD (base). Total compensation includes equity, benefits, and may include incentive compensation.
• Education requirements: at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: currently expect staff to be in one of our offices at least 25% of the time; some roles may require more time in offices.
• Visa sponsorship: Anthropic does sponsor visas and retains an immigration lawyer; sponsorship is not guaranteed for every role/candidate but will be reasonably pursued for hires.

Why join / Benefits

• Opportunity to shape how AI transforms biological research, working with top AI researchers and engineers.
• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
• Inclusive hiring encouragement: applicants are urged to apply even if they don't meet every qualification.

How we work

• Anthropic values large-scale, high-impact AI research and collaboration across the company. Frequent research discussions and emphasis on communication skills.
• The team’s research directions build on prior work including GPT-3, interpretability research, scaling laws, and learning from human preferences.

Application guidance

• Guidance on candidates' AI usage is provided in Anthropic's application process policy.