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- Tasks: Lead a team in optimising physics-based computational methods for drug discovery.
- Company: Join an innovative biotech company driving groundbreaking advancements in healthcare.
- Benefits: Enjoy collaborative work environments and opportunities for career growth.
- Why this job: Be at the forefront of drug discovery, making a real impact in science and health.
- Qualifications: Extensive experience in computational physics, chemistry, and statistical mechanics required.
- Other info: Apply quickly; this popular role may close soon!
The predicted salary is between 48000 - 72000 £ per year.
I am working alongside an incredible biotech company looking to grow their current team of computational physicists who want to drive forward groundbreaking innovations. You will be playing a crucial role in building this team, inspiring and collaborating in multi-matrix environments to increase HITs of drug discovery, striving to achieve greatness!
We are looking for an individual with extensive industry experience to provide unique solutions and strategic methods within the team they join. Within this role you will be optimising and developing the physics-based computational methods in their drug discovery programs, ensuring the computational methods are used effectively accelerating positive results within identifying new drug candidates.
We are looking for a leader with a variety of expertise within computational physics, computational chemistry, statistical mechanics - providing technical, insightful and impactful strategies when managing the team of scientists.
Key responsibilities are as follows:
- You will mentor and lead a team of scientists with a direct focus in physics-based computational methods.
- You will integrate strategies using free energy calculations, physics-based models, integrating these methods into the drug discovery pipelines.
- You should provide technical leadership in statistical mechanics, molecular dynamics, computational chemistry and free energy.
- You will be expected to collaborate with multidisciplinary teams like AI researchers, medicinal chemists and computational chemists.
- As a leader, you are expected to communicate scientific insights and provide recommendations to key stakeholders - ensuring your team delivers high-quality scientific results on time and fostering a collaborative / high-performing team environment.
Additional skills:
- Experience working with machine learning applications for physics-based modelling.
- High performance computing and cloud-based computing/simulations.
- Expertise visible from scientific publications and contributions within computational drug discovery.
How does this opportunity sound to you? Are you an expert using computational physics methods? Then this could be the next best opportunity for you!
Following your application, Amelia Pudney will discuss the opportunity with you in detail. She will happily answer any queries surrounding the opportunity and the potential for career growth. This position is highly popular and has the possibility to close prematurely; apply as soon as possible to avoid disappointment.
Head of Computational Physics employer: Barrington James
Contact Detail:
Barrington James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Computational Physics
✨Tip Number 1
Network with professionals in the biotech and computational physics fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the field. This can help you gain insights into the company culture and the specific skills they value.
✨Tip Number 2
Showcase your leadership experience in previous roles. Be prepared to discuss specific examples of how you've mentored teams or led projects that resulted in successful outcomes. This will demonstrate your capability to inspire and manage a team effectively.
✨Tip Number 3
Familiarise yourself with the latest advancements in machine learning applications for physics-based modelling. Being able to discuss recent trends and how they can be integrated into drug discovery processes will set you apart as a candidate.
✨Tip Number 4
Prepare to articulate your vision for optimising computational methods in drug discovery. Think about innovative strategies you could implement and how they align with the company's goals. This will show your proactive approach and strategic thinking.
We think you need these skills to ace Head of Computational Physics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in computational physics, computational chemistry, and statistical mechanics. Emphasise any leadership roles you've held and specific projects that demonstrate your ability to drive innovations in drug discovery.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the biotech industry. Discuss how your unique solutions and strategic methods can contribute to the team’s success. Mention your experience with machine learning applications and high-performance computing, as these are key skills for the position.
Showcase Relevant Publications: If you have scientific publications or contributions within computational drug discovery, make sure to include them in your application. This will demonstrate your expertise and commitment to the field, making you a more attractive candidate.
Prepare for Potential Questions: Think about the types of questions you might be asked during the interview process. Be ready to discuss your technical leadership experience, how you mentor teams, and your approach to integrating computational methods into drug discovery pipelines.
How to prepare for a job interview at Barrington James
✨Showcase Your Leadership Skills
As a candidate for the Head of Computational Physics, it's essential to demonstrate your leadership abilities. Prepare examples of how you've successfully led teams in the past, particularly in multi-disciplinary environments, and be ready to discuss your mentoring style.
✨Highlight Relevant Experience
Make sure to emphasise your extensive industry experience in computational physics and related fields. Be specific about your contributions to drug discovery programs and any innovative solutions you've implemented that have led to successful outcomes.
✨Prepare for Technical Questions
Expect to face technical questions related to free energy calculations, molecular dynamics, and statistical mechanics. Brush up on these topics and be prepared to discuss how you would integrate these methods into drug discovery pipelines.
✨Communicate Effectively
Since you'll be collaborating with various teams, effective communication is key. Practice explaining complex scientific concepts in a clear and concise manner, as you'll need to convey insights to stakeholders and ensure your team delivers high-quality results.
