Job summary
Job post source
This job is from a recruiting firm hiring for a separate company as indicated by the phrasing 'Seer are working with an AI biotech startup in Paris' rather than directly from the startup.
Job overview
The AI Researcher / Scientist role involves conducting advanced AI research at the intersection of AI and biology, contributing to innovative biotech projects in a startup environment.
Responsibilities and impact
The candidate will develop and implement AI models, particularly deep learning and generative models, collaborate on biology-related AI research, and navigate the fast-paced startup environment to drive scientific progress.
Compensation and benefits
The position offers up to €150k base salary, equity, and bonuses as benefits.
Experience and skills
Candidates must have a PhD or equivalent in CS, AI, or related fields, strong publication records, hands-on experience with deep learning frameworks, and solid theoretical knowledge; preferred qualifications include 3+ years post-PhD experience, startup or top-tier lab background, and expertise in protein modeling and generative models.
Work environment and culture
The role is in a fast-moving startup environment requiring proactivity and comfort with ambiguity, emphasizing collaboration at the AI and biology interface.
Company information
The job is for an AI biotech startup based in Paris, focusing on AI applications in biology and biotech innovation.
Job location and travel
The job is located in Paris, and candidates must already be based there as relocation support is not provided.
Unique job features
The role uniquely combines AI research with biology, involving cutting-edge tools like AlphaFold and generative protein models, within a startup setting.
Company overview
Seer is a technology company specializing in proteomics, the large-scale study of proteins. They make money by developing and selling advanced proteomics solutions, including their proprietary Proteograph Product Suite, which enables comprehensive and high-throughput protein analysis. Founded in 2017, Seer has rapidly advanced in the biotech industry, leveraging cutting-edge technology to transform biological research and diagnostics. Their innovative approach aims to provide deeper insights into the proteome, driving advancements in personalized medicine and therapeutic development.
How to land this job
Tailor your resume to highlight your PhD or equivalent experience in AI, ML, or related fields, emphasizing your strong publication record in top AI and biology journals or conferences.
Focus on showcasing hands-on expertise with deep learning frameworks like JAX, TensorFlow, or PyTorch, and your experience or interest in generative models, graph neural networks, and scaling deep learning systems.
Demonstrate your theoretical knowledge in statistics, optimization, and graph algorithms, along with examples of building models from scratch, and your ability to adapt quickly in a fast-paced startup environment.
Apply through multiple channels including Seer's corporate careers page and LinkedIn job postings to maximize your application visibility.
Connect with AI research team members or scientists at Seer on LinkedIn, using ice breakers like commenting on recent publications or expressing enthusiasm about the AI/biology interface work they are doing.
Optimize your resume for ATS by incorporating keywords such as 'deep learning frameworks', 'generative models', 'graph neural networks', 'protein structure prediction', and 'geometric deep learning' to ensure it passes automated screening.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application platforms, and find relevant Seer contacts on LinkedIn, allowing you to focus your energy on preparing for interviews and networking.
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