Senior Data Scientist (Epigenetics)
Senior Data Scientist (Epigenetics)

Senior Data Scientist (Epigenetics)

Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • 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 field with 3+ years of experience required.
  • 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 personalised 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 optimise 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 and 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

Mitra bio is an exceptional employer, offering a vibrant start-up environment backed by industry leaders like Khosla Ventures and Illumina. Located at the forefront of innovation in the skincare sector, we foster a collaborative work culture that encourages creativity and professional growth, providing employees with opportunities to engage in cutting-edge research and development. With a focus on impactful projects and a commitment to employee well-being, Mitra bio not only values your contributions but also invests in your future, making it a truly rewarding place to advance your career.
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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, webinars, or meetups to connect with potential colleagues and learn about the latest trends and technologies that could be beneficial for your application.

✨Tip Number 2

Showcase your experience with AWS and cloud computing by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your practical knowledge to the hiring team.

✨Tip Number 3

Familiarise yourself with the latest advancements in machine learning and AI, particularly in the context of bioinformatics. Being able to discuss recent developments and how they can be applied to skin diagnostics will set you apart during interviews.

✨Tip Number 4

Prepare to discuss your previous projects in detail, especially those involving deep learning models and epigenetic data analysis. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will showcase your problem-solving abilities.

We think you need these skills to ace Senior Data Scientist (Epigenetics)

Deep Learning
Machine Learning
Bioinformatics
Python Programming
Data Analysis
Next Generation Sequencing (NGS)
DNA Methylation Analysis
Cloud Computing (AWS/GCP)
Software Development Best Practices
Version Control (Git)
Continuous Integration/Continuous Deployment (CI/CD)
Agile Methodologies
Statistical Analysis
Data Visualization
Collaboration in Multidisciplinary Teams
Client Reporting
Research Governance Knowledge
Good Clinical Practice Awareness

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, machine learning, and software development. Emphasise any projects related to epigenetics or data science that showcase your skills.

Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific responsibilities of the Senior Data Scientist role. Mention your experience with deep learning models and cloud computing, and express your enthusiasm for working in a start-up environment.

Showcase Relevant Projects: Include specific examples of past projects where you built ML/AI models or worked with large datasets. Highlight any experience with AWS and how it relates to the role at Mitra bio.

Prepare for Technical Questions: Anticipate technical questions related to bioinformatics, data analysis, and machine learning during the interview process. Brush up on your knowledge of DNA methylation and other relevant topics to demonstrate your expertise.

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 solutions, especially in relation to epigenetics.

✨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 meeting deadlines.

✨Familiarise Yourself with Their Products

Research Mitra bio'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 the role.

✨Prepare for Team Collaboration Questions

Since this role involves working in a multi-disciplinary team, be ready to discuss your experiences collaborating with engineers and other scientists. Highlight your communication skills and how you’ve contributed to team growth in past positions.

Senior Data Scientist (Epigenetics)
Mitra bio
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