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- Tasks: Develop biomarkers for early breast cancer detection and treatment response.
- Company: Join Proteotype Diagnostics, a leader in innovative cancer research.
- Benefits: Fully funded PhD position with competitive salary and benefits.
- Other info: Gain interdisciplinary training and work with top academic partners.
- Why this job: Make a real impact in cancer research while collaborating internationally.
- Qualifications: MSc in relevant fields and programming skills in Python or R.
The predicted salary is between 30000 - 40000 £ per year.
PhD Position: Circulating Proteomic Biomarkers for Early Breast Cancer Detection and Treatment Response
Project Overview
Proteotype Diagnostics is recruiting a Doctoral Candidate (DC14) as part of the HER-CARE Marie Skłodowska-Curie Doctoral Network, a European programme training the next generation of researchers in hereditary and early-stage breast cancer. The project will focus on the development of circulating proteomic biomarkers for early breast cancer detection and prediction of treatment response, using Proteotype’s proprietary biomarker platform.
The doctoral candidate will:
- Investigate detection of early-stage (Stage I–III) breast cancer
- Analyse biomarker dynamics during systemic and neoadjuvant therapies
- Predict pathological complete response (pCR)
- Integrate proteomic, clinical, and epidemiological datasets
- Contribute to translational and mechanistic understanding of biomarker signals
Selected samples will also undergo advanced LC-MS proteomic analysis in collaboration with the Medical University of Vienna.
Training and Supervision
The doctoral candidate will:
- Be employed by Proteotype Diagnostics
- Be enrolled as a PhD candidate at the Medical University of Vienna
- Be supervised by Dr. Yen Tan (primary academic supervisor)
- Receive industrial supervision from Proteotype
- Participate in the HER-CARE doctoral training programme, including international collaboration and secondments
Candidate Profile
We are seeking a highly motivated candidate with strong quantitative and interdisciplinary skills.
Essential:
- MSc (or equivalent) in bioinformatics, computational biology, molecular biology, biomedical sciences, data science or related field
- Experience in data analysis, statistics, or computational methods
- Programming skills in Python, R or similar
- Interest in translational cancer research and biomarker development
Desirable:
- Experience in proteomics, machine learning, or multi-omics data integration
- Background in oncology or clinical data analysis
Eligibility Criteria (MSCA Requirements)
Applicants must:
- Not already hold a doctoral degree (PhD)
- Be eligible to enrol in a PhD programme at the Medical University of Vienna
- Mobility rule (mandatory): 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 before the recruitment date.
What We Offer
- Fully funded 36-month doctoral position
- Salary and benefits in line with MSCA Doctoral Network funding rules
- Interdisciplinary research training across Europe
- Collaboration with leading academic and clinical partners
- Opportunity to work on cutting-edge liquid biopsy technologies
Application Process
Recruitment is starting immediately for an Autumn 2026 start date. To apply, navigate to https://proteotype.com/careers. The position will also be advertised via EURAXESS and HER-CARE recruitment channels.
EU Funding Acknowledgement
This project is funded by the European Union under the Marie Skłodowska-Curie Actions (MSCA).
Doctoral Candidate (DC14) employer: Proteotype Diagnostics
Contact Detail:
Proteotype Diagnostics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Doctoral Candidate (DC14)
✨Tip Number 1
Network like a pro! Reach out to current or past doctoral candidates in similar fields. They can give you insider tips on the application process and what to expect during your PhD journey.
✨Tip Number 2
Prepare for interviews by brushing up on your research skills and knowledge about circulating proteomic biomarkers. Be ready to discuss how your background fits into the project and show your passion for cancer research.
✨Tip Number 3
Don’t underestimate the power of a strong online presence! Update your LinkedIn profile and connect with professionals in the field. It’s a great way to showcase your skills and interests to potential employers.
✨Tip Number 4
Apply through our website for the best chance at landing the role! Make sure to tailor your application to highlight your relevant experience and enthusiasm for the project. We want to see your unique perspective!
We think you need these skills to ace Doctoral Candidate (DC14)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your relevant skills and experiences for the Doctoral Candidate position. We want to see how your background in bioinformatics or data science aligns with our focus on circulating proteomic biomarkers.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about translational cancer research and how your experience makes you a great fit for this role. Be sure to mention any specific projects or skills that relate directly to the job description.
Showcase Your Technical Skills: Since programming skills in Python or R are essential, make sure to highlight any relevant projects or coursework. We love seeing practical examples of how you've used these skills in your previous work or studies.
Apply Through Our Website: Don't forget to apply through our website at https://proteotype.com/careers. This ensures your application goes directly to us, and we can review it promptly. We can't wait to see what you bring to the table!
How to prepare for a job interview at Proteotype Diagnostics
✨Know Your Research
Make sure you’re well-versed in the latest developments in circulating proteomic biomarkers and early breast cancer detection. Familiarise yourself with Proteotype Diagnostics' work and how it aligns with your research interests. This will show your genuine enthusiasm for the role.
✨Showcase Your Skills
Prepare to discuss your programming skills in Python or R, as well as your experience in data analysis and statistics. Be ready to provide specific examples of projects where you've applied these skills, especially in a biomedical context.
✨Ask Insightful Questions
Prepare thoughtful questions about the doctoral programme, the collaboration with the Medical University of Vienna, and the specifics of the research project. This demonstrates your interest and helps you assess if the position is the right fit for you.
✨Highlight Interdisciplinary Experience
Since the role requires strong interdisciplinary skills, be prepared to discuss any relevant experiences that showcase your ability to integrate knowledge from different fields. This could include previous research, coursework, or collaborative projects.