Protein Design Investigator - AI-Driven Bioengineering Hybrid in Stevenage

Protein Design Investigator - AI-Driven Bioengineering Hybrid in Stevenage

Stevenage Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
GlaxoSmithKline

At a Glance

  • Tasks: Collaborate on AI-driven protein design and optimisation projects.
  • Company: Join GSK, a global biopharma leader focused on health innovation.
  • Benefits: Enjoy competitive salary, bonuses, healthcare, and flexible hybrid work options.
  • Other info: Be part of a diverse team committed to inclusion and professional growth.
  • Why this job: Make a real impact in bioengineering and advance your career in a dynamic environment.
  • Qualifications: PhD in relevant fields and experience in protein analysis and programming.

The predicted salary is between 60000 - 80000 £ per year.

Data & Predictive Sciences will only be successful by working in close collaboration with Research Technologies, Therapy Areas, GSK Tech, AIML, Vaccines, Risk & Compliance, and across lines within the function itself, and by developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on enabling value realization through end-user uptake and measuring impact. We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practices; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

In this role you will:

  • Work with partner functions to generate, validate, and integrate generative AI models for de novo design and multi-objective optimization of biologics, such as antibodies (tool and therapeutics), antigens, peptides, and other modalities.
  • Develop and apply predictive models for protein design and developability engineering, utilizing large-scale NGS, patient-derived, and other proprietary in-house and external data sources.
  • Identify and advocate for the opportunities afforded by scientific computation and automation and champion a “predict-first” culture by maximizing use of predictive technology in experimental lines.
  • Collaborate with external groups to further develop protein engineering computational methods.

Why you?

Basic Qualifications & Skills:

  • PhD or equivalent in Bioinformatics, Physics, Chemistry, Computer Science, Structural Biology, or related fields.
  • Experience in protein structural analysis.
  • Experience in one or more programming languages (e.g. Python, C/C++).
  • Demonstrated ability to work as team lead or member; ability to work/lead effectively in a matrix environment.
  • Demonstrated evidence of working across scientific and technical disciplines to deliver impactful solutions that drive project progression.

Preferred Qualifications & Skills:

  • Experience developing or applying modern ML architectures for sequence- or structure-based protein design models (LLMs, diffusion models, flow-matching, GNNs, etc.).
  • Experience analyzing protein-protein interactions and surfaces for design.
  • Experience analyzing antibody repertoires for sequence- and structure-based design.
  • Experience with molecular simulation techniques.
  • Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change.
  • Ability to generate conclusion reports, present data in team meetings and participate in writing of abstracts and publications for the scientific community.

Closing Date for Applications – 22nd February 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

Why Us?

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class (US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive.

As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Protein Design Investigator - AI-Driven Bioengineering Hybrid in Stevenage employer: GlaxoSmithKline

GSK is an exceptional employer that fosters a high-performing team culture centred on collaboration, curiosity, and continuous improvement. With a commitment to employee growth, we offer competitive salaries, comprehensive healthcare programmes, and a hybrid working model that empowers you to balance remote and in-office work. Our inclusive environment ensures that every individual feels valued and has the opportunity to thrive while contributing to our mission of positively impacting global health.

GlaxoSmithKline

Contact Details:

GlaxoSmithKline Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Protein Design Investigator - AI-Driven Bioengineering Hybrid in Stevenage

Tip Number 1

Network like a pro! Reach out to people in your field, especially those at GSK. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Prepare for interviews by diving deep into GSK's culture and values. Show us how your skills align with our mission to unite science, technology, and talent. We love candidates who resonate with our purpose!

Tip Number 3

Practice makes perfect! Mock interviews with friends or mentors can help you articulate your experience and skills confidently. Remember, we want to see your passion for protein design and AI-driven bioengineering!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team at GSK.

We think you need these skills to ace Protein Design Investigator - AI-Driven Bioengineering Hybrid in Stevenage

Bioinformatics
Protein Structural Analysis
Python
C/C++
Team Leadership
Matrix Environment Collaboration
Scientific and Technical Disciplines Integration

Some tips for your application 🫡

Tailor Your Cover Letter:Make sure to customise your cover letter to highlight how your skills and experiences align with the specific requirements of the Protein Design Investigator role. We want to see your passion for bioengineering and how you can contribute to our collaborative culture.

Showcase Your Technical Skills:Don’t forget to mention your programming experience and any relevant projects you've worked on. We’re keen to see how you’ve applied your knowledge in protein structural analysis or generative AI models, so give us the details!

Be Clear and Concise:When writing your CV and cover letter, keep it straightforward. Use bullet points where possible and avoid jargon. We appreciate clarity, and it helps us quickly understand your qualifications and fit for the role.

Apply Through Our Website:Remember to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the position. Plus, you’ll find all the info you need about life at GSK there!

How to prepare for a job interview at GlaxoSmithKline

Know Your Stuff

Make sure you brush up on your knowledge of protein design and AI-driven bioengineering. Familiarise yourself with the latest trends in generative AI models and how they apply to biologics. Being able to discuss specific examples from your experience will show that you're not just knowledgeable but also passionate about the field.

Show Your Collaborative Spirit

Since this role involves working closely with various teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked in a matrix structure and how you fostered a high-performing team culture. Highlighting your ability to communicate and collaborate effectively will resonate well with the interviewers.

Demonstrate Your Curiosity

GSK values curiosity and continuous improvement, so come ready to discuss how you've pursued learning opportunities in your career. Whether it's through formal education, self-study, or hands-on projects, showing that you have a relentless focus on growth will set you apart from other candidates.

Prepare for Technical Questions

Expect technical questions related to programming languages like Python or C/C++. Brush up on your skills and be ready to solve problems on the spot. You might also want to prepare for questions about protein structural analysis and molecular simulation techniques, as these are key aspects of the role.