Biological AI Researcher
1 week ago
About EvolutionaryScale
At EvolutionaryScale, our objective is to harness artificial intelligence to decode biological systems for the advancement of human health and societal well-being. We are committed to conducting open, safe, and responsible research in collaboration with the scientific community. Over the next decade, we anticipate that AI will revolutionize biological design, enabling the programmability of molecules and entire cells. Our goal is to establish foundational models for biology that facilitate this transformation.
Our Vision
To propel the field forward in this burgeoning domain, we prioritize candidates who demonstrate exceptional creativity and excellence in their fields, rather than solely focusing on specific domain expertise. While having a background in both biology and AI is advantageous, it is not a prerequisite.
Our Team
We engage in both profound research and product development, striving to create cutting-edge biological AI models while also empowering researchers at the forefront of life sciences. This endeavor necessitates a collaborative effort between elite engineers and scientists to tackle significant research and product challenges. We are assembling a top-tier, multi-disciplinary team that encompasses AI research, engineering, biological research, and business roles, emphasizing the importance of strong communication and collaboration across all functions.
Work Environment
The EvolutionaryScale team operates from multiple locations, and we value flexibility in work schedules and locations. However, we expect our team members to spend a significant portion of their workweek in our offices.
Key Responsibilities
- Stay abreast of advancements in AI or biology and contribute to the progression of at least one of these fields.
- Assist in designing and executing the company's long-term research strategy.
- Lead research initiatives related to the company's foundational model efforts.
- Collaborate with researchers, engineers, and scientists from partner organizations to implement the company's technology and research effectively.
- Develop software for research projects and work alongside other researchers and engineers.
- Engage with the broader scientific community through impactful publications and open-source contributions.
Preferred Qualifications
- Proficiency in programming languages, particularly Python.
- PhD in computer science or a related discipline, or equivalent professional experience.
- A minimum of 3 years of experience in implementing deep learning models using PyTorch or similar frameworks.
- Ability to design and conduct machine learning experiments, analyze results, and communicate findings effectively.
Compensation
The salary range for this position is competitive, with a range of $150,000 to $350,000 annually, in addition to an attractive equity package. The compensation package will be tailored based on job-related skills, experience, and knowledge, and includes comprehensive medical, dental, and vision benefits.
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