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- Tasks: Lead the development of cutting-edge scientific computing infrastructure for genomic research.
- Company: Join EIT Oxford, tackling global challenges through innovative science and technology.
- Benefits: Enjoy competitive salary, enhanced holiday pay, private medical insurance, and more perks.
- Why this job: Shape the future of biology with a collaborative team focused on impactful solutions.
- Qualifications: PhD or equivalent experience in bioinformatics; strong leadership and technical skills required.
- Other info: Must have the right to work in the UK and be willing to travel.
The predicted salary is between 43200 - 72000 £ per year.
Head of Scientific Compute (Generative Biology Institute)Head of Scientific Compute (Generative Biology Institute)3 weeks ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.The Ellison Institute of Technology (EIT) Oxford tackles humanity\’s greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and AI-driven government innovation, EIT Oxford blends groundbreaking research with practical applications to deliver lasting results.A cornerstone of EIT Oxford\’s mission is its upcoming 300,000-square-foot research facility at the Oxford Science Park, set to open in 2027. This cutting-edge campus will feature advanced labs, an oncology and preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit.The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) Oxford aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and 2) understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering.EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity\’s enduring challenges.GBI is looking for a Head of Scientific Compute to shape the future of computational research by leading the development of cutting-edge infrastructure to support high-performance computing, AI-driven analytics, and large-scale data processing.Working at the intersection of genomics, synthetic biology, and chemistry, you\’ll collaborate with researchers and technical teams to design tailored computational solutions, ensuring compliance with data management best practices. You\’ll recruit, mentor, and lead a multidisciplinary team while optimising computing resources for scalability and efficiency.Key Responsibilities:To lead the development and implementation of a strategic vision for scientific computing, integrating advanced technologies to support large-scale data processing, high-performance computing, and AI-driven analytics in genomic researchTo oversee and manage the scientific computing infrastructure, ensuring it meets the evolving needs of computational biology, data analysis, and laboratory automation across diverse research programsTo collaborate closely with researchers and technical teams to design and implement computational solutions tailored to applications in synthetic biology, chemistry, and genomicsTo recruit, mentor, and lead a multidisciplinary team, fostering a culture of technical excellence and collaborative researchTo manage and optimise computing resources, ensuring high availability and scalability to support the institute\’s research objectivesTo establish and enforce best practices for data management and ensure compliance with regulatory and ethical guidelines related to data security, privacy, and reproducibility, particularly in handling extensive biological datasetsTo strategise with and guide any GBI scientist in realising their scientific computing requirements from conception to implementation and empower and teach scientists to perform scientific computing themselvesTo collaborate with IT and facilities teams to ensure seamless integration of computational infrastructure with laboratory and automation systems, enhancing overall research efficiencyTo cultivate and manage collaborations with GBI research teams, within EIT more broadly, and with technology providers, and cloud computing services to drive innovation in scientific computingTo provide strategic guidance to GBI leadership, advising on future computing needs, emerging technologies, and strategies for digital transformation in scientific researchRequirementsA PhD (or equivalent experience) in bioinformatics, or extensive experience of a breadth of software development, architecture and implementationExtensive experience in managing scientific computing environments, including expertise in high-performance computing, cloud computing, and large-scale data analytics within a research contextProven track record of leading and managing complex computational projects, ensuring efficiency, scalability, and reproducibility in data analysis workflowsDemonstrated ability to build and lead multidisciplinary teams, fostering a culture of innovation, collaboration, and technical excellenceStrong technical proficiency in:Programming languages such as Python, LinuxCloud computing platforms like AWS, Azure, or Google Cloud, as well as HPC environmentsBig data management, database design, and distributed computing frameworksImplementation of data security measures and adherence to compliance and regulatory frameworksExceptional communication skills, capable of engaging with researchers, technical teams, and leadership to maximise the impact of scientific computing initiatives. Extensive experience communicating with non-technical audiences about computing/softwareBenefitsWe offer the following salary and benefits:Salary: Competitive salary on OfferEnhanced holiday payPensionLife AssuranceIncome ProtectionPrivate Medical InsuranceHospital Cash PlanTherapy ServicesPerk BoxElectrical Car SchemeWhy work for EIT:At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!Terms of Appointment:You must have the right to work permanently in the UK with a willingness to travel as necessaryYou will live in, or within easy commuting distance of, OxfordFlexibility to be discussed.During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programmeSeniority levelSeniority levelNot ApplicableEmployment typeEmployment typeFull-timeJob functionJob functionScienceIndustriesIT Services and IT ConsultingReferrals increase your chances of interviewing at Ellison Institute of Technology Oxford by 2xSign in to set job alerts for “Head of Biology” roles.Reading, England, United Kingdom 1 month agoHead of ML Engineering – Generative Biology InstituteOxford, England, United Kingdom 1 month agoHead of Bioinformatics – Generative Biology InstituteOxford, England, United Kingdom 1 month agoOxford, England, United Kingdom 3 weeks agoWe’re unlocking community knowledge in a new way. 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Head of Scientific Compute (Generative Biology Institute) employer: JobLeads GmbH
Contact Detail:
JobLeads GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Scientific Compute (Generative Biology Institute)
✨Tip Number 1
Familiarise yourself with the latest advancements in high-performance computing and AI-driven analytics, particularly as they relate to genomics and synthetic biology. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of scientific computing and bioinformatics. Attend relevant conferences or webinars where you can meet potential colleagues and learn about the latest trends and challenges in the industry. This could give you insights that are valuable during your application process.
✨Tip Number 3
Showcase your leadership skills by discussing any previous experience in managing multidisciplinary teams. Be prepared to share specific examples of how you've fostered collaboration and innovation in past roles, as this is a key aspect of the Head of Scientific Compute position.
✨Tip Number 4
Research the Ellison Institute of Technology's current projects and initiatives. Understanding their mission and how your expertise aligns with their goals will help you articulate your fit for the role and demonstrate your genuine interest in contributing to their vision.
We think you need these skills to ace Head of Scientific Compute (Generative Biology Institute)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in scientific computing, high-performance computing, and data analytics. Emphasise your leadership roles and any projects that align with the responsibilities of the Head of Scientific Compute.
Craft a Compelling Cover Letter: In your cover letter, express your passion for computational biology and how your background aligns with the mission of the Generative Biology Institute. Mention specific technologies and methodologies you have used that are relevant to the role.
Showcase Your Technical Skills: Clearly outline your technical proficiency in programming languages, cloud platforms, and data management frameworks. Provide examples of how you've applied these skills in previous roles to solve complex problems.
Highlight Collaborative Experience: Since the role involves working closely with multidisciplinary teams, include examples of past collaborations. Discuss how you’ve fostered innovation and technical excellence within teams to achieve research objectives.
How to prepare for a job interview at JobLeads GmbH
✨Understand the Institute's Mission
Before your interview, make sure you thoroughly understand the mission of the Ellison Institute of Technology and the Generative Biology Institute. Familiarise yourself with their focus areas like health, sustainability, and AI-driven innovation. This will help you align your answers with their goals and demonstrate your genuine interest in their work.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with high-performance computing, cloud platforms, and data analytics. Highlight specific projects where you've successfully implemented these technologies. This is crucial for a role that requires leading complex computational projects and optimising resources.
✨Emphasise Leadership and Collaboration
As a Head of Scientific Compute, you'll need to lead a multidisciplinary team. Share examples of how you've built and managed teams in the past, fostering a culture of collaboration and innovation. Discuss your mentoring style and how you empower others to achieve their scientific computing goals.
✨Prepare for Ethical and Compliance Questions
Given the nature of the role, be ready to discuss best practices for data management and compliance with regulatory frameworks. Prepare examples of how you've ensured data security and privacy in previous roles, as this will be a key aspect of your responsibilities at the institute.
