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- Tasks: Join us to develop cutting-edge data science solutions for skin diagnostics and treatments.
- Company: Mitra bio is an innovative start-up transforming skincare through data and epigenetics.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and collaboration.
- Why this job: Make a real impact in the skincare industry while working with advanced technologies and a passionate team.
- Qualifications: MSc or PhD in Bioinformatics, Biochemistry, or related fields with 3+ years of relevant experience.
- Other info: Be part of a multi-disciplinary team and contribute to exciting projects in a fast-paced start-up.
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 (Epigenetics) employer: Mitra bio
Contact Detail:
Mitra bio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Epigenetics)
✨Tip Number 1
Network with professionals in the epigenetics and bioinformatics fields. Attend relevant conferences or webinars where you can meet potential colleagues or mentors who might provide insights into Mitra's work and culture.
✨Tip Number 2
Familiarise yourself with the latest advancements in DNA methylation and machine learning applications in skincare. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 3
Showcase your experience with AWS and cloud computing by discussing specific projects where you've implemented these technologies. Highlighting your hands-on experience will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach building deep learning models for biological age determination. Having a clear strategy and examples ready will impress the interviewers and show your problem-solving skills.
We think you need these skills to ace Senior Data Scientist (Epigenetics)
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 and any experience with AWS or cloud computing, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the skincare industry and how your background in epigenetics aligns with Mitra's mission. Mention specific projects or experiences that demonstrate your ability to deliver data science solutions.
Showcase Relevant Projects: Include examples of past projects where you built ML/AI models or worked with large datasets. Highlight any experience with deep learning models and how they contributed to successful outcomes in previous roles.
Prepare for Technical Questions: Anticipate technical questions related to bioinformatics, data analysis, and machine learning during the interview process. Be ready to discuss your approach to problem-solving and how you would apply your skills to Mitra's projects.
How to prepare for a job interview at Mitra bio
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and any relevant bioinformatics tools during the interview. Be prepared to discuss specific projects where you've successfully implemented ML/AI models, especially in relation to epigenetics or similar fields.
✨Demonstrate Your Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in previous roles. Discuss your approach to building and optimising deep learning models, and how you’ve managed multiple projects simultaneously while ensuring timely delivery.
✨Familiarise Yourself with Their Products
Research Mitra's skin longevity platform and understand how their use of non-invasive sampling and epigenetics is revolutionising skincare. This knowledge will help you align your answers with their mission and demonstrate your genuine interest in their work.
✨Engage with the Team Dynamics
Since this role involves working in a multi-disciplinary team, be ready to discuss your experience collaborating with engineers and other scientists. Highlight your ability to communicate complex ideas clearly and how you contribute to team growth and hiring processes.
