Computational scientist

As a Computational Scientist at Cradle, your responsibilities will include leveraging advanced computational tools such as density functional theory and molecular dynamics. You'll engage in extensive collaborative work with a diverse blend of applied physicists and engineers, focusing on the complete spectrum of engineering from electrical and mechanical designs to computational methods. Your role will not only require technical expertise but also a high degree of autonomy and first principles thinking to tackle complex biological challenges.

To qualify for the Computational Scientist position at Cradle, candidates should possess strong fundamentals in fields like physics, chemistry, or biology. A degree in Electrical Engineering, Mechanical Engineering, or an equivalent discipline is essential, along with demonstrated exceptional ability and autonomy in previous projects. Familiarity with computational tools in modeling and simulation will also greatly enhance your candidacy.

The expected salary range for a Computational Scientist at Cradle is between $120,000 and $200,000 per year. This range is based on market data and may vary depending on your unique qualifications and experience. Keep in mind that additional compensation in the form of equity may be included, which is not reflected in the base salary estimate.

At Cradle, the Computational Scientist will work on groundbreaking projects aimed at creating innovative solutions that could change humanity's relationship with biology and space. Projects will often require deep expertise in computational design, electrical and mechanical systems, and numerical modeling. You will have the opportunity to apply your skills to high-impact research that may lead to advances in medical hibernation and space exploration.

Cradle offers a comprehensive benefits package for its Computational Scientists, including generous medical, dental, and vision insurance for employees and dependents. Other perks include flexible time off, a competitive compensation package that includes salary and equity, access to a 401(k) retirement savings plan, FSA and commuter benefits, and daily subsidized lunches. We believe in supporting our team both personally and professionally!

When answering this question, clearly outline your experience with tools like density functional theory and molecular dynamics. Provide specific examples of projects where you successfully utilized these tools, emphasizing the outcomes and your contributions. Highlight any relevant coursework or research that demonstrates your deep understanding of these computational techniques.

Discuss your methodology for tackling complex scientific problems, such as breaking down the problem into manageable parts, utilizing first principles thinking, and collaborating with multidisciplinary teams. Share examples of situations where your problem-solving skills led to successful project outcomes. This demonstrates your analytical skills and collaborative spirit.

Highlight the importance of communication and understanding different perspectives when working with multidisciplinary teams. Talk about your approach to ensuring that technical language is accessible to all team members and emphasize your ability to integrate feedback from various engineering fields to enhance project outcomes.

Be ready to share a specific example where you took the initiative on a project, detailing the challenges faced and how you managed them independently. Focus on the skills you applied and the successful results you achieved through your self-directed efforts, which aligns well with Cradle's preference for autonomous team members.

Express your enthusiasm for advancements in biological sciences, particularly innovations that could significantly impact humanity’s future, such as medical hibernation or deep-space exploration. Share how your passion drives your work and connects to Cradle’s mission. This will convey your alignment with the company's vision and project goals.

Discuss your commitment to maintaining high scientific standards, such as attention to detail, methodical documentation, and adherence to ethical guidelines in research. Explain how you stay updated on industry standards and contribute to a culture of integrity within your team.

Choose a project where you faced considerable challenges and explain the situation, including specific obstacles you encountered. Focus on your problem-solving skills and the innovative approaches you applied to overcome these challenges, reinforcing your capability as a Computational Scientist.

Explain how first principles thinking allows you to isolate the fundamental aspects of a problem, leading to more innovative solutions. Provide an example where applying this methodology helped improve a project outcome, showcasing your analytical and critical thinking skills.

Emphasize your openness to feedback and how you view constructive criticism as an opportunity for growth. Share a specific instance where feedback positively influenced your work or led to an improvement in your approach to a project, indicating your adaptability and commitment to continuous improvement.

Discuss your belief that teamwork is essential in scientific research, as it fosters a collaborative environment for generating innovative ideas. Highlight experiences where your work within a team led to successful outcomes and how you value the diversity of thought that collaboration brings to complex projects.