At a Glance
- Tasks: Develop and implement AI/ML solutions for drug discovery and bioimaging analysis.
- Company: Join Johnson & Johnson, a global leader in healthcare innovation.
- Benefits: Competitive salary, health insurance, pension plan, and generous time off.
- Other info: Collaborate with a diverse team and publish your research in top-tier journals.
- Why this job: Make a real impact in healthcare using cutting-edge AI and ML technologies.
- Qualifications: Ph.D. in relevant fields with strong AI/deep learning expertise.
The predicted salary is between 60000 - 75000 £ per year.
With $85.2 billion in consolidated sales for 2023, Johnson & Johnson is the world’s most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. There are more than 250 Johnson & Johnson operating companies employing approximately 130,000 people in 60 countries throughout the world.
The Data Science Analytics & Insights team 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, Computer Vision/Bioimaging, Multi-task Prediction and Molecule Design.
Key Responsibilities- Conceive, develop, and implement AI/ML solutions applied to drug discovery problems, including but not limited to, processing and analysis of large-scale imaging and assay data (e.g. high content imaging, cryogenic electron microscopy, tissue imaging, and medical imaging), molecule property predictions, and AI-based optimization.
- Contribute to design of analysis plan and technical execution of a project, and execute end-to-end analyses, including progress reports and high-quality code documentation.
- Work closely with a cross disciplinary team of data and AI scientists, imaging experts, biologists, and computational chemists, and leverage cross-domain expertise to contribute to a rigorous scientific evidence package strategically aligned with molecule development cycle.
- Extensive hands-on coding and actively contribute to platform development.
- Document and disseminate research findings internally and externally (e.g.- publishing in top-tier ML conferences/journals).
- Ph.D. in Electrical Engineering /Biomedical Engineering/Computer Science/Applied Mathematics or related majors.
- Strong technical expertise in AI / deep learning with excellent analytical skills in at least one domain area with proven track records (publication in top-tier journals, awards, patents, white papers).
- Extensive, hands-on experience in AI/ML in related applications such as High-dimensional biomedical imaging/ Computer Vision/ Omics Analysis/ AI-based Drug Design/ and other related fields.
- Proficiency with one or more programming languages, preferably Python. Proficiency in one or more AI frameworks such as Pytorch or Tensorflow.
- Good communication skills and able to present analytical results on behalf of the project team in a cross-functional setting, contextualizing how it fits within the broader project.
Benefits: Employees may be eligible to participate in Company employee benefit programs such as health insurance, savings plan, pension plan, disability plan, vacation pay, sick time, holiday pay, and work, personal and family time off in accordance with the terms of the applicable plans.
Post Doc AI/ML Bioimage Analysis employer: Johnson & Johnson
Johnson & Johnson is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among a diverse team of experts in AI, bioimaging, and drug discovery. With a strong commitment to employee growth, comprehensive benefits, and the opportunity to contribute to groundbreaking research in healthcare, this role provides a meaningful and rewarding career path in a globally respected organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Post Doc AI/ML Bioimage Analysis
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, workshops, or even local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; show it! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI/ML and bioimaging. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in AI/ML. Practice common interview questions and be ready to discuss your past projects in detail. We want to see your passion and expertise shine through!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance of getting noticed. Tailor your application to highlight how your skills align with the role, and don’t forget to follow up after submitting!
We think you need these skills to ace Post Doc AI/ML Bioimage Analysis
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in AI/ML and bioimage analysis. We want to see how your skills align with the key responsibilities mentioned in the job description, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Publications:If you've got publications in top-tier journals, make sure to mention them! This is a great way to demonstrate your expertise and commitment to the field. We’re keen on seeing your contributions to the scientific community.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Johnson & Johnson
✨Know Your AI/ML Stuff
Make sure you brush up on your AI and machine learning knowledge, especially as it relates to bioimage analysis. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show that you not only understand the theory but can also apply it practically.
✨Show Off Your Coding Skills
Since this role requires extensive hands-on coding, be prepared to demonstrate your proficiency in Python and any AI frameworks like PyTorch or TensorFlow. You might even be asked to solve a coding problem during the interview, so practice some common algorithms and data structures beforehand.
✨Communicate Clearly
Good communication is key, especially when working with cross-disciplinary teams. Practice explaining complex concepts in simple terms, and think about how your work fits into the bigger picture of drug discovery. This will help you convey your ideas effectively during the interview.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about the team, the projects, and the company culture. This shows your genuine interest in the position and helps you determine if it's the right fit for you.
