At a Glance
- Tasks: Design and develop innovative lentiviral vectors for transformative therapies.
- Company: EsoBiotec, part of AstraZeneca, leading in biotechnological research.
- Benefits: Competitive salary, health benefits, flexible working, and career growth opportunities.
- Why this job: Join a mission-driven team making real-world impacts in cell and gene therapy.
- Qualifications: PhD in relevant field with expertise in viral vector engineering and molecular biology.
- Other info: Collaborative environment fostering creativity and innovation in life-changing treatments.
The predicted salary is between 80000 - 120000 ÂŁ per year.
Are you ready to dive into the world of transformative therapies and make a significant impact? At EsoBiotec, now part of AstraZeneca, we are setting new benchmarks for biotechnological research. Our collaboration combines AstraZeneca's global influence and scientific innovation with EsoBiotec's unique culture of creativity and breakthroughs in cell-based therapies and immunology. Here, your scientific passion will drive real-world impact as you contribute to lifeâchanging treatments.
We are looking for an inspiring Senior Scientist Vector Engineering to drive innovation and development of our pioneering lentiviral vector therapeutic platform. Join us in shaping the future of cell and gene therapy with your expertise in viral vector engineering, gene editing, CAR and TCR T cell engineering or myeloid immunobiology in cancer.
Responsibilities
- Design, build, and validate novel lentiviral vectors for in vivo cell therapy applications.
- Perform handsâon construct designs, viral genome optimization, viral envelope pseudotype engineering and vector assembly.
- Design, plan and execute in vitro and in vivo experiments to assess transduction efficiency, specificity, expression durability, and safety profile of novel in vivo LVVs.
- Develop and run assays for titer, potency, biodistribution, integration site analysis, and immunogenicity in collaboration with analytics partners.
- Apply literature mining, public datasets, and personal expertise to generate innovative, testable hypotheses and prioritize vector concepts.
- Implement rigorous experimental design, statistical analysis, and documentation to ensure reproducibility, traceability, and data integrity.
- Collaborate extensively with discovery teams across AZ including payload biology, bioinformatics, and nonclinical to align vector designs with product requirements.
- Contribute to platform development by creating screening workflows, model systems, and standardized protocols for vector performance.
- Present findings, risks, and recommendations in working groups and project meetings and drive decisions through clear data storytelling.
- Support IP generation by contributing to invention disclosures and sharing FTO considerations with the IP team.
Qualifications
- PhD in molecular biology, virology, bioengineering, or related field with 4+ years of postdoctoral experience in academia or industry.
- Demonstrated expertise in viral vectors and virology with a strong track record in viral vector design, engineering, and characterization for gene therapy.
- Proficiency in molecular biology techniques for vector construction, promoter and regulatory element engineering, and payload optimization.
- Experience in protein and antibody (scFV and VHH) engineering or envelope/pseudotype modification to tune tropism, entry, and transduction profiles.
- Handsâon familiarity with in vitro cell culture assays and in vivo models for vector evaluation including transduction assays, doseâresponse, durability studies, and safety readouts.
- Strong handsâon competence with quantitative analytics such as flow cytometry and qPCR/ddPCR.
- Ability to design rigorous experiments, apply statistics, and interpret complex datasets to drive go/noâgo decisions.
- Strong collaboration and communication skills to operate as a backbone member of crossâfunctional working groups and align discovery efforts with product goals.
- Evidence of innovation through publications, presentations, or openâsource contributions and comfort leveraging literature and public data to ideate and deârisk.
- Organized, proactive, and productâfocused mindset with the ability to manage multiple experiments, meet timelines, and maintain highâquality documentation.
- Commitment to being fully handsâon at the bench while mentoring peers and contributing to platform and program deliverables.
Desirable Skills/Experience
- Strong preference for lentiviral vectors.
- Practical understanding of safety risks and mitigations for LVV including insertional mutagenesis, offâtarget transduction, immunogenicity, and RCL testing.
When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire lifeâchanging medicines. Inâperson working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and daring world.
The annual base pay for this position ranges from $113,902 - $170,854 USD Annual. Hourly and salaried nonâexempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, jobârelated knowledge, skills, and experience. In addition, our positions offer a shortâterm incentive bonus opportunity; eligibility to participate in our equityâbased longâterm incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "atâwill position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Ready to make an impact? Apply now to join our missionâdriven team!
Scientist Vector Engineering in Newtown employer: AstraZeneca UK Limited
Contact Detail:
AstraZeneca UK Limited Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Scientist Vector Engineering in Newtown
â¨Tip Number 1
Network like a pro! Reach out to your connections in the biotech field, especially those who work at EsoBiotec or AstraZeneca. A friendly chat can open doors and give you insider info that could help you stand out.
â¨Tip Number 2
Show off your skills! Prepare a portfolio or presentation that highlights your past projects and successes in vector engineering. This will not only showcase your expertise but also demonstrate your passion for the role.
â¨Tip Number 3
Be ready for the interview! Research common questions related to viral vector engineering and prepare your answers. Practising with a friend can help you feel more confident and articulate during the actual interview.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows youâre genuinely interested in joining our mission-driven team at EsoBiotec.
We think you need these skills to ace Scientist Vector Engineering in Newtown
Some tips for your application đŤĄ
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see how your scientific passion aligns with our mission at EsoBiotec and AstraZeneca. Make it personal and relatable!
Tailor Your CV: Donât just send a generic CV! Take the time to tailor it to the specific requirements of the Scientist Vector Engineering role. Highlight your relevant experience in viral vector engineering and any innovative projects you've worked on that relate to our work.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon where possible. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Make sure to apply through our official website! Itâs the best way for us to receive your application and ensures youâre considered for the position. Plus, it shows youâre serious about joining our team!
How to prepare for a job interview at AstraZeneca UK Limited
â¨Know Your Vectors
Make sure you brush up on your knowledge of lentiviral vectors and their applications in gene therapy. Be prepared to discuss your previous experiences with vector design and engineering, as well as any innovative approaches you've taken in your past work.
â¨Showcase Your Hands-On Skills
Since this role requires a lot of practical lab work, be ready to talk about your hands-on experience with molecular biology techniques and in vitro/in vivo assays. Highlight specific projects where you successfully executed experiments and the outcomes that resulted from them.
â¨Collaboration is Key
This position involves working closely with cross-functional teams, so emphasise your collaboration skills. Share examples of how you've worked with others to achieve common goals, especially in a research setting, and how you can contribute to a team environment.
â¨Data-Driven Decision Making
Prepare to discuss how you approach experimental design and data analysis. Be ready to explain your methods for interpreting complex datasets and making go/no-go decisions based on your findings. This will show your analytical mindset and commitment to rigorous scientific standards.