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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 part of a mission to revolutionise drug discovery with cutting-edge technology.
- 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 43200 - 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 optimizing 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.
- 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, Jay Robins 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 possibility to close prematurely; apply as soon as possible to avoid disappointment.
Please select 'apply', alternatively email jrobins@barringtonjames.com with any further information.
Senior Manager, Applied Physics & Simulation employer: Barrington James
Contact Detail:
Barrington James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager, Applied Physics & Simulation
✨Tip Number 1
Network with professionals in the biotech and computational physics fields. Attend industry conferences or webinars where you can meet 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, especially those involving computational methods in drug discovery. 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 applied to drug discovery will set you apart as a knowledgeable candidate.
✨Tip Number 4
Prepare to articulate your vision for integrating computational methods into drug discovery pipelines. Think about how you would approach collaboration with multidisciplinary teams and be ready to share your ideas on fostering a high-performing team environment.
We think you need these skills to ace Senior Manager, Applied Physics & Simulation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in computational physics and related fields. Emphasise any leadership roles you've held, particularly those involving mentoring or managing teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for drug discovery and how your expertise aligns with the company's goals. Mention specific examples of how you've successfully integrated computational methods in previous roles.
Showcase Relevant Skills: Clearly outline your skills in statistical mechanics, molecular dynamics, and machine learning applications. Provide examples of how you've applied these skills to achieve positive results in past projects.
Highlight Collaborative Experience: Since the role involves working with multidisciplinary teams, include examples of successful collaborations with AI researchers, chemists, or other scientists. This will demonstrate your ability to work effectively in a team environment.
How to prepare for a job interview at Barrington James
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully guided teams in the past, particularly in computational physics or related fields.
✨Highlight Your Technical Expertise
Be ready to discuss your experience with physics-based computational methods, statistical mechanics, and molecular dynamics. Bring specific examples of projects where you applied these skills to achieve significant results.
✨Prepare for Collaborative Scenarios
Since collaboration with multidisciplinary teams is key, think of instances where you've worked alongside AI researchers or chemists. Be prepared to explain how you integrated different perspectives to drive successful outcomes.
✨Communicate Clearly and Effectively
You'll need to convey complex scientific insights to stakeholders. Practice explaining your work in simple terms, focusing on the impact of your contributions to drug discovery and how they align with the company's goals.
