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For Companies At a Glance
- Tasks: Develop cutting-edge models linking molecular interactions to health outcomes.
- Company: Join Deep Origin, a biotech innovator transforming drug discovery with AI.
- Benefits: Enjoy a full-time role with potential remote work and collaborative culture.
- Why this job: Be part of a mission-driven team making a real impact on healthspan.
- Qualifications: PhD in relevant fields and 2+ years of experience in systems biology required.
- Other info: Work with an international team and engage in exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
Deep Origin is a biotechnology company accelerating drug discovery through AI-powered tools. Our platforms simplify R&D, simulate biology, and empower scientists to solve diseases and extend healthspan.
We are looking to recruit a Scientist with experience applying Systems Biology modeling and concepts in a Quantitative Systems Pharmacology/Toxicology context. You will construct organ and tissue models that connect molecular-level interactions to physiological and toxicological endpoints and outcomes.
For US applicants: all applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Requirements
- PhD in Bioengineering, Biotechnology, Systems Biology, QSP/PKPD, Systems Pharmacology, etc.
- 2 or more years of postdoctoral or industry experience constructing systems biology and related models in a QSP/QST context. Particularly in one or more of Liver, Intestine, Kidney, Blood, and Bone marrow.
- Extensive experience in Python (at least 3 years).
- Experience with SBML (2 years).
- Fluent English for collaboration with an international team.
- Be able to work on US time zones when needed.
Nice to have
- Deep knowledge of available datasets to inform QSP/QST models.
- Experience deploying models in an HPC environment.
- Experience in model parameter optimization.
- Experience in virtual population generation.
- Composite model construction, parameterization, and simulation.
Responsibilities
- Construct Systems Biology-oriented QSP/QST models that capture molecular interactions and link these to physiological and toxicological outcomes and phenotypes.
- Work with the Deep Origins Cellular Simulations team and the wider company to interface these models with larger-scale intracellular models and multi-scale models of biological processes relevant to physiology and toxicology.
- Plan and organize work to ensure specific deadlines and milestones are met, coordinating with others to ensure work is correctly aligned and integrated with other efforts.
- Communicate effectively within the company and external teams, updating others frequently on progress and bottlenecks.
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Quantitative Systems Pharmacologist / Systems Biology Scientist employer: Deep Origin
Contact Detail:
Deep Origin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Systems Pharmacologist / Systems Biology Scientist
✨Tip Number 1
Network with professionals in the biotechnology and pharmacology fields. Attend relevant conferences or webinars where you can meet people from Deep Origin or similar companies. Building relationships can often lead to job opportunities that aren't advertised.
✨Tip Number 2
Showcase your expertise in Python and systems biology through online platforms like GitHub. Create repositories that demonstrate your projects, especially those related to QSP/QST models. This will give potential employers a clear view of your skills and experience.
✨Tip Number 3
Familiarise yourself with the latest datasets and tools used in quantitative systems pharmacology. Being knowledgeable about current trends and technologies will not only help you in interviews but also show your commitment to the field.
✨Tip Number 4
Prepare for interviews by practising how to explain complex systems biology concepts in simple terms. Since you'll be collaborating with an international team, being able to communicate effectively is crucial. Consider mock interviews to refine your communication skills.
We think you need these skills to ace Quantitative Systems Pharmacologist / Systems Biology Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Systems Biology and Quantitative Systems Pharmacology. Emphasise your PhD and any postdoctoral work, particularly focusing on your modelling skills and experience with organ and tissue models.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about drug discovery and how your background aligns with Deep Origin's mission. Mention specific projects or experiences that demonstrate your expertise in Python and SBML.
Showcase Relevant Skills: Clearly outline your technical skills, especially your proficiency in Python and any experience with HPC environments. If you have knowledge of datasets for QSP/QST models, make sure to include that as well.
Highlight Collaboration Experience: Since the role involves working with international teams, mention any previous collaborative projects. Discuss how you effectively communicated progress and resolved bottlenecks in those situations.
How to prepare for a job interview at Deep Origin
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and SBML during the interview. Be prepared to discuss specific projects where you applied these skills, as this will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Systems Biology Knowledge
Familiarise yourself with key concepts in Systems Biology and Quantitative Systems Pharmacology. Be ready to explain how you've constructed models in the past and how they relate to physiological and toxicological outcomes, as this is crucial for the position.
✨Prepare for Collaborative Scenarios
Since the role involves working with various teams, think of examples where you've successfully collaborated on complex projects. Highlight your communication skills and ability to coordinate with others to meet deadlines, as this will be important for the company's workflow.
✨Research Deep Origin
Take some time to understand Deep Origin's mission and the tools they use. Being knowledgeable about their AI-powered platforms and how they simplify R&D will show your genuine interest in the company and the role, making you a more compelling candidate.