At a Glance
- Tasks: Join our team to develop machine learning methods for breast cancer research and patient care.
- Company: Precision Breast Cancer Institute, a leader in innovative cancer research.
- Benefits: Collaborative environment, career development, and the chance to make a real impact.
- Other info: Opportunity for career growth and collaboration with world-class researchers.
- Why this job: Be part of a transformative journey in breast cancer treatment and research.
- Qualifications: Experience in machine learning and ability to work in multidisciplinary teams.
The predicted salary is between 45000 - 55000 £ per year.
This is an exciting opportunity for an experienced, ambitious, talented and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute (PBCI), led by Professor Jean Abraham, and make a real impact in the fight against breast cancer.
Breast cancers comprise complex biological processes that function in compound microenvironments of malignant tumour cells. As such, incorporating and simultaneously analysing multimodal data can offer a better understanding of the underlying cancer mechanisms, ultimately leading to more accurate diagnosis, prognosis, and treatment planning for cancer patients. Breast cancer research produces complex multimodal data at different scales, including clinical, imaging (radiology and digital pathology), and genomic or transcriptomic profiles.
The successful candidate will play a pivotal role in revolutionising patient care through the design, development, and application of novel machine learning methods to analyse and interpret large-scale multimodal data using samples primarily derived from large clinical trials and studies. The role will also involve working closely with renowned scientists, liaising with project teams and external science users, contributing to research publications, and collaborating with clinical experts to optimise the interpretation and use of these data.
At PBCI, we believe in fostering a collaborative and supportive work environment. We value teamwork, respect, and open communication, creating a space where ideas thrive and individuals flourish. Together, we will support and inspire one another as we work towards our shared goal of improving breast cancer treatments and outcomes. Together, we will shape the future of breast cancer research and drive impactful and rapid change.
The successful candidate will line manage, support and develop Research Associates and PhD Students, as well as supporting computational research projects across the PBCI and collaborators within the University and Cambridge University Hospital. The ability to work as part of a multi-disciplinary team and to be able to communicate to a range of audiences is required.
Join us in our mission to develop clinically useful algorithms, drive high-impact publications, and pave the way for personalised breast cancer treatments. Analyse data from cutting-edge technologies, collaborate with world-class researchers and be part of a transformative journey.
Fixed-term: The funds for this post are available for two years in the first instance, with the possibility of extension for one more year.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check, a security check and a standard Disclosure and Barring Service check. This appointment also requires a Research Passport application. Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
Assistant Research Professor (Fixed Term) in Cambridge employer: Technical University of Denmark
The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.
Contact Details:
Technical University of Denmark Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Research Professor (Fixed Term) in Cambridge
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We think you need these skills to ace Assistant Research Professor (Fixed Term) in Cambridge
Some tips for your application 🫡
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Technical University of Denmark, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Technical University of Denmark
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Technical University of Denmark.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Technical University of Denmark.
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Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Technical University of Denmark.
