At a Glance
- Tasks: Develop and implement AI/ML solutions for drug design, collaborating with a diverse team.
- Company: Join Johnson & Johnson Innovative Medicine, a leader in transforming healthcare.
- Benefits: Remote work options, competitive salary, and comprehensive health benefits.
- Other info: Gain valuable experience in the pharmaceutical industry with excellent career growth opportunities.
- Why this job: Make a real impact on global health by advancing drug design through AI/ML.
- Qualifications: PhD in relevant fields and strong AI/ML background required.
The predicted salary is between 40000 - 50000 £ per year.
Johnson & Johnson Innovative Medicine is recruiting for a Postdoctoral Scientist - AI/ML to help advance AI/ML for Drug Design. The primary location for this position is High Wycombe, UK, but exceptionally skilled candidates may be considered for remote work from anywhere in the world, with up to 10% travel.
The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. We are looking for a highly motivated and innovative Postdoctoral Fellow who will work at the intersection of AI/ML and Drug Design.
Key Responsibilities:- Conceive, develop, and implement AI/ML solutions applied to drug design problems, including but not limited to, molecule structure generation/prediction and molecular property prediction, to help identify molecules that have the potential to become effective drugs.
- Work closely with a cross-disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists to design and implement computational approaches, analyze and interpret results, and communicate findings through internal presentations, conferences and scientific publications.
- Participate in cross-functional collaborations with external companies, academia, and internal scientific and data science teams.
- Extensive hands-on coding and actively contribute to platform development.
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making findings through peer-reviewed publications and/or scientific conferences.
- PhD in EE/CS/Statistics/Applied math or related majors.
- Strong background in artificial intelligence / machine learning with an established track record (publication in top-tier conferences/journals, awards, patents, white papers).
- Proficiency with one or more programming languages such as Python or C++. Proficiency in one or more AI frameworks such as PyTorch or Tensorflow.
- Extensive experience with one or more AI/ML fields including Large Language Models/Deep Generative Models/ Geometric Deep Learning/ Computer Vision and other related fields.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a team.
- Familiarity with and exposure to drug discovery and clinical development processes is a plus.
- Hands-on technical data analysis, cloud computing (AWS, Azure), and dockerization is a plus.
- Gain experience working in the pharmaceutical industry.
- Navigate and work within a matrix environment.
- Communication and presentation skills to clearly articulate results and impact to diverse audiences and partners through internal presentations, conferences, and scientific publications.
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love.
As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.
For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits
Postdoc: AI/ML for Drug Design (Remote Possible) in High Wycombe employer: Johnson & Johnson
At Johnson & Johnson Innovative Medicine, we are dedicated to fostering a collaborative and innovative work culture that empowers our employees to make a meaningful impact in the field of drug design. With opportunities for professional growth, cutting-edge training, and a commitment to employee well-being, we offer a supportive environment where talented individuals can thrive. Our High Wycombe location, combined with the flexibility of remote work options, allows for a diverse and inclusive workforce, all united in our mission to transform lives through science.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoc: AI/ML for Drug Design (Remote Possible) in High Wycombe
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Johnson & Johnson. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a cool project or research related to AI/ML, share it on platforms like GitHub or LinkedIn. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms—this is key when communicating with diverse teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Postdoc: AI/ML for Drug Design (Remote Possible) in High Wycombe
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI/ML and drug design. We want to see how your skills align with our mission at Johnson & Johnson Innovative Medicine.
Showcase Your Projects:Include specific examples of your work, especially any publications or projects related to AI/ML. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, as we value effective communication just as much as technical expertise.
Apply Through Our Website:Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Johnson & Johnson
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and breakthroughs in AI and machine learning, especially as they relate to drug design. Be ready to discuss your previous work and how it aligns with the role at Johnson & Johnson.
✨Showcase Your Coding Skills
Since coding is a big part of this role, be prepared to demonstrate your proficiency in Python or C++. Bring examples of your past projects or contributions to platform development that highlight your technical abilities.
✨Communicate Clearly
You’ll need to articulate complex ideas to diverse audiences, so practice explaining your research and findings in simple terms. Think about how you can present your work in a way that’s engaging and easy to understand.
✨Collaborate and Connect
This position involves working with cross-disciplinary teams, so be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked with others to achieve common goals in your past roles.
