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- Tasks: Join us to develop AI/ML solutions for skin diagnostics and personalised treatments.
- Company: Mitra bio is a cutting-edge start-up transforming skincare with data-driven insights.
- Benefits: Enjoy flexible work options, innovative projects, and a collaborative team environment.
- Why this job: Make a real impact in the skincare industry while working with advanced technologies.
- Qualifications: MSc or PhD in Bioinformatics, Biochemistry, or related field; 3+ years in bioinformatics and ML.
- Other info: Be part of a multidisciplinary team and contribute to exciting product development.
The predicted salary is between 48000 - 72000 £ per year.
About Mitra bio
Mitra bio is a dynamic start-up backed by Khosla Ventures, Illumina and Oxford University looking to disrupt the skincare industry through data. Mitra is developing a skin longevity platform powered by non-invasive sampling and epigenetics to enhance diagnostics and personalized treatments for the skin.
The Role
You will be working on cutting-edge omics studies to advance skin diagnostics and discovery of novel treatments. Your work will translate into an impactful product in the hands of the consumer. In this customer-focused and technically savvy role, you will deliver data science solutions for Next Generation Sequencing with a focus on DNA methylation. You will work in a multi-disciplinary team and will have the opportunity to be involved in strategy to develop bespoke methodologies and ML/AI algorithms for diagnostics and prediction tool development.
The Responsibilities:
- Build and optimize deep learning models for biological age determination and disease stratification based on large datasets of epigenetic data;
- Build ML/AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints;
- Work with the data team to incorporate other omics into the prediction models to improve accuracy;
- Work with the engineering team to incorporate your models into valuable products;
- Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions);
- Manage multiple projects simultaneously and complete projects in a timely & reliable manner;
- Design and deliver in-depth, and state-of-the-art client reporting on high throughput data generated from various NGS and array data from various domains (specifically epigenomics, but also including genomics, proteomics, etc.);
- Present experimental plans and results to internal and external stakeholders;
- Work as part of a multidisciplinary team;
- Be involved in hiring and team growth.
Essential skills and experience
- MSc or PhD equivalent experience in Bioinformatics, Biochemistry, Computer Science or a related subject;
- 3+ years’ experience delivering bioinformatics and ML-based solutions to the industry;
- Strong experience in software development (mainly Python), test-driven development and proficiency in collaborative software development practices (code reviews, branching models);
- Experience in version control, CI/CD and automated deployment;
- Experience in cloud computing (e.g. AWS/GCP);
- Familiarity with tools used in modern Illumina NGS data analysis;
Desirable:
- Experience in analysis of epigenetics data such as DNA methylation and variant analysis (GWAS) is also advantageous;
- Experience working in agile environments;
- Experience deploying and maintaining secure computing environments;
- Familiarity with research governance, The Data Protection Act and Good Clinical Practice;
- Curiosity on using and implementing current AI technologies into company workflows.
Senior Data Scientist (AI/ML) employer: Mitra bio
Contact Detail:
Mitra bio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (AI/ML)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and ML, particularly in the context of bioinformatics and epigenetics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the skincare and biotechnology sectors. Attend relevant conferences or webinars where you can meet potential colleagues and learn about the latest trends, which could give you an edge in your application.
✨Tip Number 3
Showcase your experience with AWS and cloud computing by working on personal projects or contributing to open-source initiatives. This practical experience can be a great talking point in interviews and demonstrate your hands-on skills.
✨Tip Number 4
Prepare to discuss how you would approach building and optimising deep learning models for biological applications. Think about specific methodologies you've used in the past and be ready to share your thought process and results.
We think you need these skills to ace Senior Data Scientist (AI/ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, machine learning, and software development. Emphasise your skills in Python, cloud computing, and any specific projects related to epigenetics or NGS data analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the skincare industry and how your background aligns with Mitra bio's mission. Mention specific experiences that demonstrate your ability to deliver data science solutions and work in multidisciplinary teams.
Showcase Your Projects: Include a portfolio or a section in your CV that details significant projects you've worked on, especially those involving deep learning models, DNA methylation, or cloud infrastructure. This will give the hiring team insight into your practical skills.
Highlight Soft Skills: In addition to technical skills, emphasise your ability to manage multiple projects, communicate effectively with stakeholders, and contribute to team growth. These soft skills are crucial for the collaborative environment at Mitra bio.
How to prepare for a job interview at Mitra bio
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deep learning models and ML/AI algorithms. Highlight specific projects where you've successfully implemented these technologies, especially in the context of bioinformatics or epigenetics.
✨Demonstrate Your Collaborative Spirit
Since this role involves working in a multi-disciplinary team, share examples of how you've effectively collaborated with engineers and data scientists in the past. Emphasise your ability to communicate complex ideas clearly to non-technical stakeholders.
✨Familiarise Yourself with Their Products
Research Mitra bio's skin longevity platform and understand how their technology works. Being able to discuss their products and how your skills can contribute to their development will show your genuine interest in the company.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Brush up on your problem-solving skills and be ready to walk through your thought process when tackling complex data science problems, particularly those related to DNA methylation and other omics.
