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- Tasks: Drive innovation in epigenetics through ML models and data analysis.
- Company: Join a stealth-mode biotech startup revolutionising predictive diagnostics.
- Benefits: Enjoy hybrid work, competitive salary, and share options.
- Why this job: Be at the forefront of healthtech, impacting lives with cutting-edge research.
- Qualifications: MSc/PhD in relevant fields and 2+ years of Data Science experience required.
- Other info: Bonus skills include DNA methylation experience and AI/ML interest.
The predicted salary is between 48000 - 84000 £ per year.
A stealth-mode biotech startup is seeking a Senior Data Scientist to drive innovation. You’ll work on cutting-edge omics and machine learning projects using non-invasive epigenetic data to develop predictive diagnostics and personalized treatments.
Key Responsibilities:
- Develop ML models for epigenetic data
- Analyze DNA methylation and integrate clinical/phenotypic data
- Build and scale analysis pipelines on AWS
- Collaborate with a cross-functional R&D team
- Present findings and contribute to strategic decisions
Requirements:
- MSc/PhD or equivalent in Bioinformatics, Biochemistry, CS, or related field
- +2 years’ experience in Data Science outside of Academia
- Strong Python and cloud computing (AWS/GCP/Azure) skills
- Experience with NGS data, version control, and CI/CD
Bonus Skills:
- Experience with DNA methylation and GWAS
- Familiarity with research governance and secure data environments
- Interest in AI/ML integration in healthtech
Senior Data Scientist employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with machine learning and epigenetic data in your conversations. Prepare specific examples of projects you've worked on that demonstrate your skills in developing ML models and analysing DNA methylation.
✨Tip Number 2
Familiarise yourself with the latest trends in bioinformatics and healthtech, especially regarding AI/ML integration. This knowledge will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 3
Network with professionals in the biotech and data science communities. Attend relevant meetups or webinars to connect with others in the industry, which could lead to valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss how you would approach building and scaling analysis pipelines on AWS. Having a clear strategy and understanding of cloud computing will set you apart from other candidates.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with epigenetic data and machine learning. Emphasise your skills in Python and cloud computing, as well as any specific projects that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for biotech and how your background in bioinformatics or biochemistry makes you a perfect fit for the role. Mention specific projects or experiences that demonstrate your ability to develop ML models and analyse DNA methylation.
Highlight Collaborative Experience: Since the role involves working with a cross-functional R&D team, be sure to include examples of past collaborations. Discuss how you contributed to team projects and how your input influenced strategic decisions.
Showcase Continuous Learning: Mention any ongoing education or certifications related to AI/ML integration in healthtech. This shows your commitment to staying updated in the field and your enthusiasm for innovation in biotech.
How to prepare for a job interview at Hlx Life Sciences
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and cloud computing platforms like AWS, GCP, or Azure. Be prepared to discuss specific projects where you've developed ML models or worked with NGS data, as this will demonstrate your technical expertise.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. You might be asked to explain how you would approach a specific data challenge related to epigenetics, so think through potential scenarios and your methodologies in advance.
✨Emphasise Collaboration Experience
Since the role involves working with a cross-functional R&D team, be ready to discuss your past experiences collaborating with others. Share examples of how you’ve effectively communicated findings and contributed to strategic decisions in a team setting.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in epigenetics and AI/ML integration in healthtech. Being knowledgeable about current trends will not only impress your interviewers but also show your genuine interest in the field.
