Research Scientist, Life Sciences (Experimental Biology)

Anthropic$300K — $320K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in a biological science or related field
  • Proven experience linking biological knowledge with computational solutions
  • Basic proficiency in Python and familiarity with ML practices
  • Comfortable with ambiguity in evolving research settings
  • Independent worker who collaborates well with teams
  • Results-driven with a focus on flexibility and impact
  • Experience in scientific AI applications and relevant publications

Responsibilities

  • Design and execute experimental programs in molecular biology and biochemistry
  • Collaborate with computational biologists for data-driven experiments
  • Generate hypotheses using literature and biological knowledge
  • Utilize internal AI frameworks for experimental and data analysis
  • Provide insights for model improvement based on experimental findings

Benefits

  • Unique opportunity to influence AI in biological research
  • Work alongside leading AI researchers
  • Focus on impactful challenges in human health and scientific understanding
  • Visa sponsorship assistance available
Full Job Description
About the role

We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science.
Key responsibilities
  • Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable
  • Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis
  • Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions
  • Use Claude and our internal agent frameworks heavily in your own work - for experimental planning, protocol development, and data interpretation - and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases
Minimum qualifications
  • Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field
  • Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
  • Have basic proficiency in Python and are familiar with ML development practices
Preferred qualifications
  • Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
  • Can work independently while maintaining strong collaboration with cross-functional teams
  • Are results-oriented, with a bias towards flexibility and impact
  • Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration
  • Published research or practical experience in scientific AI applications
  • Familiarity with modern machine learning techniques and model training methodologies
  • Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools

This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for human health and scientific understanding. If you're excited about using your expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you.

The annual compensation range for this role is listed 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.

Annual Salary:

$300,000-$320,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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