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- Tasks: Develop and validate biomarkers for early breast cancer detection using cutting-edge research techniques.
- Company: Join Proteotype Diagnostics, a leader in innovative cancer research.
- Benefits: Fully funded PhD position with competitive salary and international training opportunities.
- Other info: Collaborate with top academic and industry partners across Europe.
- Why this job: Make a real difference in cancer research while gaining valuable interdisciplinary experience.
- Qualifications: MSc in bioinformatics, computational biology, or related fields; programming skills required.
The predicted salary is between 30000 - 40000 £ per year.
Proteotype Diagnostics Ltd is recruiting a Doctoral Candidate (DC14) as part of the HER-CARE Marie Skłodowska-Curie Doctoral Network (MSCA-DN), a European programme focused on improving outcomes in hereditary and early-stage breast cancer. The successful candidate will be employed by Proteotype Diagnostics and enrolled as a PhD candidate at the Medical University of Vienna (Austria) under the primary academic supervision of Dr. Yen Tan.
The project focuses on the development and validation of circulating proteomic biomarkers for early breast cancer detection and prediction of treatment response, integrating molecular, clinical, and epidemiological data.
Key Research Areas- Detection of early-stage (Stage I–III) breast cancer
- Analysis of biomarker dynamics during systemic and neoadjuvant therapies
- Prediction of pathological complete response (pCR)
- Integration of proteomic, clinical, and epidemiological datasets
- Mechanistic interpretation of biomarker signals
Selected samples will undergo advanced mass spectrometry–based proteomics in collaboration with academic partners at the Medical University of Vienna. The doctoral candidate will benefit from interdisciplinary training across the HER-CARE network, including collaboration with leading academic, clinical, and industry partners across Europe.
Supervision and Training- PhD enrolment: Medical University of Vienna (Austria)
- Primary academic supervisor: Dr. Yen Tan
- Industrial supervision: Dr. Emma Yates (Chief Scientific Officer), Proteotype Chief Scientific Officer
- Working at the intersection of industry and academia
- Fully funded 36-month PhD position
- Salary and mobility allowances in line with MSCA Doctoral Network regulations
- International research training and secondments
- Access to cutting-edge research infrastructure
- Research Field: Master Degree or equivalent
- Skills / Qualifications MSc (or equivalent) in:
- bioinformatics
- computational biology
- biomedical sciences
- data science
- or related field
- data analysis / statistics
- programming (Python, R or similar)
- wet laboratory work including HPLC
- proteomics
- machine learning
- multi-omics data integration
- oncology or clinical datasets
- Applicants must not already hold a doctoral degree (PhD)
- Be eligible for enrolment in a PhD programme at the Medical University of Vienna
Applicants must not have resided or carried out their main activity (work, studies, etc.) in the United Kingdom for more than 12 months in the 36 months immediately prior to the recruitment date.
LanguagesENGLISH – Level Excellent
Work Location(s)Company/Institute: Proteotype Diagnostics Ltd
Country: United Kingdom
State/Province: Cambridgeshire
City: Cambridge
Postal Code: CB22 3AT
Street: Babraham Research Campus, Moneta 280 Building
PhD Position (HER-CARE Doctoral Candidate DC14) – Circulating Proteomic Biomarkers for Early Br[...] in Cambridge employer: Proteotype Diagnostics
Contact Detail:
Proteotype Diagnostics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Position (HER-CARE Doctoral Candidate DC14) – Circulating Proteomic Biomarkers for Early Br[...] in Cambridge
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of proteomics and oncology. Attend conferences, webinars, or local meetups to connect with potential collaborators or mentors who can give you insights into the industry.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data analysis, programming, or wet lab work. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on relevant topics. Be ready to discuss your understanding of circulating proteomic biomarkers and their role in early breast cancer detection. We want to see your passion and knowledge shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace PhD Position (HER-CARE Doctoral Candidate DC14) – Circulating Proteomic Biomarkers for Early Br[...] in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the PhD position. Highlight relevant experience in bioinformatics, data analysis, and any lab work you've done. We want to see how your background fits with the project on circulating proteomic biomarkers!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about early-stage breast cancer research and how your skills align with the role. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Skills: Don’t forget to mention your programming skills in Python or R, and any experience with machine learning or multi-omics data integration. We’re looking for candidates who can bring these skills to the table, so make them stand out!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Proteotype Diagnostics
✨Know Your Research Inside Out
Make sure you’re well-versed in the specifics of circulating proteomic biomarkers and their relevance to early breast cancer detection. Familiarise yourself with recent studies and advancements in this area, as well as the methodologies like mass spectrometry that will be used in the project.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data analysis, programming languages like Python or R, and any wet lab work you've done. Highlight specific projects where you’ve applied these skills, especially in relation to bioinformatics or multi-omics data integration.
✨Demonstrate Interdisciplinary Collaboration
Since this position involves working with both academic and industry partners, be ready to talk about your experiences in collaborative environments. Share examples of how you’ve successfully worked in teams, particularly in research settings, and how you can contribute to the HER-CARE network.
✨Prepare Thoughtful Questions
At the end of the interview, you’ll likely have the chance to ask questions. Prepare insightful queries about the project’s direction, the team dynamics, or the training opportunities available. This shows your genuine interest and helps you assess if the role is the right fit for you.