Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to develop AI/ML methods for RNA control systems and analyze complex datasets.
- Company: Concinnity Genetics is a cutting-edge biotech firm revolutionizing gene therapies with AI and synthetic biology.
- Benefits: Enjoy potential remote work, competitive salary, and the chance to shape innovative technology.
- Why this job: Be a pioneer in gene therapy, collaborate with experts, and make a real impact in healthcare.
- Qualifications: PhD/MSc in data science, AI, or related fields; experience in AI/ML development is essential.
- Other info: Applications close on January 10, 2025; start date is March 2025.
The predicted salary is between 45000 - 65000 £ per year.
Role: Data Scientist / Machine Learning Engineer – RNA Design
Location: Glasgow, UK (potential for remote)
Start date: March 2025
Period: Full time, permanent
Closing Date for Applications: 10th January 2025
Compensation: £45,000-£65,000 p.a. depending on experience
About this job
We are seeking a highly motivated and skilled data scientist to join our dynamic team, focused on leveraging our proprietary platform to develop novel gene control systems for the cell and gene therapy space. As one of the first hires in our growing company, you will have the unique opportunity to help expand and scale our technology platform and help us shape the future of gene therapies.
About Concinnity
Concinnity Genetics is a venture-backed biotechnology company that designs novel control mechanisms for the cell and gene therapy market using our innovative AI platform and synthetic biology expertise. Our platform enables the design, building and screening of large & complex libraries of RNA-based control systems, to allow the precise control of cell and gene therapies in response to a diverse range of molecules. By enabling precise control mechanisms, Concinnity’s unique RNA-based systems will transform the safety of cell and gene therapies.
Key Responsibilities
- Develop and refine AI/ML methods for RNA-based control system development
- Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to support various company projects.
- Working within a multidisciplinary team, execute data analysis to a high standard and on schedule, to provide accurate data for seamless transition to subsequent project stages
- Design, test and implement algorithms for structural design space exploration
- Demonstrate strong teamwork and a focus on achieving shared goals with a commitment to high-quality outcomes
Skills
Essential
- AI/ML Development: Proven track record in the successful development and deployment of AI/ML-based tools
- Technical Proficiency: Strong command over major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn
- Analytical Thinking: Exceptional analytical skills with a methodical approach to problem-solving
- Collaborative Learning: Eager to acquire new skills and collaborate closely with experimental biology teams
- Biological Insights: Deep interest in leveraging AI/ML for predicting biological structure and function
Desirable
- Cloud Technology: Skilled in using cloud platforms for deploying and managing ML applications
- Predictive Modelling: Experience in building and implementing predictive models specifically for biological applications
- Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms
- Genomic Data Expertise: Familiarity with handling and analysing Next-Generation Sequencing (NGS) data
- Communication Skills: Ability to communicate complex technical details effectively to both computational and experimental biologists
Qualifications
- PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field
Contact
Data Scientist / Machine Learning Engineer – RNA Design employer: Concinnity Genetics
Contact Detail:
Concinnity Genetics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Machine Learning Engineer – RNA Design
✨Tip Number 1
Familiarize yourself with the specific AI/ML frameworks mentioned in the job description, such as Keras, PyTorch, and TensorFlow. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during interviews.
✨Tip Number 2
Engage with the latest research and developments in RNA-based control systems and gene therapy. This knowledge will help you articulate your passion for the field and show how you can contribute to Concinnity's mission.
✨Tip Number 3
Network with professionals in the biotechnology and AI sectors. Attend relevant conferences or webinars to connect with potential colleagues and gain insights into the industry, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your collaborative experiences in multidisciplinary teams. Highlight specific examples where you successfully worked with biologists or other scientists, as this will showcase your ability to thrive in Concinnity's team-oriented environment.
We think you need these skills to ace Data Scientist / Machine Learning Engineer – RNA Design
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist / Machine Learning Engineer position. Highlight the key responsibilities and required skills, and think about how your experience aligns with them.
Tailor Your CV: Customize your CV to emphasize your experience in AI/ML development, particularly with RNA-based systems. Include specific projects or achievements that demonstrate your technical proficiency with frameworks like Keras, PyTorch, or TensorFlow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for gene therapy and AI/ML. Discuss your analytical thinking and collaborative learning experiences, and explain how you can contribute to Concinnity Genetics' mission.
Highlight Relevant Qualifications: In your application, clearly state your qualifications, such as your PhD/MSc in data science or related fields. Mention any relevant experience with genomic data or predictive modeling to strengthen your application.
How to prepare for a job interview at Concinnity Genetics
✨Showcase Your AI/ML Expertise
Be prepared to discuss your previous experience with AI and machine learning frameworks like Keras, PyTorch, or TensorFlow. Highlight specific projects where you developed or deployed AI/ML tools, as this will demonstrate your technical proficiency.
✨Demonstrate Analytical Thinking
Expect questions that assess your analytical skills and problem-solving approach. Prepare examples of how you've tackled complex data challenges in the past, particularly in the context of RNA-based systems or biological applications.
✨Emphasize Collaboration Skills
Since the role involves working within a multidisciplinary team, be ready to share experiences where you successfully collaborated with others, especially in experimental biology settings. This will show your commitment to teamwork and achieving shared goals.
✨Prepare for Technical Questions
Anticipate technical questions related to dataset preparation, processing, and curation for AI development. Brush up on your knowledge of genomic data analysis and be ready to discuss how you would handle Next-Generation Sequencing (NGS) data.
