Tenure-Track Junior PI in Artificial Intelligence for precision oncology

JR Italy; Pavia; In loco; EUR 40.000 - 80.000; Tempo pieno

Descrizione del lavoro

An established industry player invites applications for a dynamic Junior Group Leader in Artificial Intelligence for precision oncology research. This role offers the opportunity to lead innovative projects that utilize deep learning techniques to analyze complex datasets, aiming to discover new biomarkers and improve cancer diagnostics. With access to cutting-edge facilities and unique clinical datasets, you will collaborate with a vibrant international community of scientists, making a tangible impact on patient outcomes. Join this mission-driven organization and advance your career in a supportive and diverse environment.

Servizi

Competitive start-up package

Administrative support

Networking opportunities

Training and mentoring

Funding opportunities

Competenze

• Dynamic scientist with postdoctoral experience in AI for oncology.
• Strong publication record and potential for independent research.

Mansioni

• Lead innovative research on cancer evolution and treatment response.
• Collaborate with clinicians to develop clinical trials.

Conoscenze

AI models

Deep learning techniques

Data analysis

Research program development

Formazione

MD, MD/PhD, or PhD

Postdoctoral experience

Strumenti

Genomics facilities

Proteomics facilities

Metabolomics facilities

Imaging facilities

Spatial transcriptomics

Digital pathology

Animal studies

Descrizione del lavoro

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Tenure-Track Junior PI in Artificial Intelligence for precision oncology, Pavia

Client:

IFOM

Location:

Job Category:

Other

EU work permit required:

Yes

Job Reference:

897936472704181862433713

Job Views:

2

Posted:

02.05.2025

Expiry Date:

16.06.2025

Job Description:

Are you a dynamic and ambitious scientist ready to make a mark as a PI in Artificial Intelligence for precision oncology research?

The AIRC Institute of Molecular Oncology (IFOM) in Milan, Italy, invites applications for the position of Junior Group Leader. Established in 1998, IFOM focuses on molecular mechanisms of tumor formation and development. In 2022, it expanded its mission to include translating basic cancer research into patient benefits.

Unleash Your Potential

As a Junior Group Leader, you will lead innovative research on cancer evolution, diagnosis, and treatment response using AI models. You will work with deep learning techniques to analyze complex datasets, including omics, phenotypic, and imaging data, to discover new biomarkers and improve diagnostics.

World-Class Resources

IFOM offers cutting-edge facilities for genomics, proteomics, metabolomics, imaging, spatial transcriptomics, digital pathology, and animal studies. You will have access to unique datasets from clinical trials in colorectal and breast cancer.

Collaborative Excellence

Join a vibrant international community of scientists in various fields, fostering interdisciplinary collaboration and innovative ideas.

Real-world Impact

Collaborate with clinicians and scientists to develop clinical trials and improve cancer treatments, making a tangible difference in patient outcomes.

Compensation and Support

IFOM offers a competitive start-up package, administrative support, and opportunities for networking, training, mentoring, and funding.

Qualifications

• MD, MD/PhD, or PhD with postdoctoral experience
• Strong publication record
• Potential to develop an independent research program

Preferred Qualifications

• Experience in academic medicine environments
• Proven collaboration skills
• Research plan and references

Please note: Incomplete applications will not be considered. Applications are reviewed immediately until the position is filled.

Diversity Matters

IFOM is committed to diversity and encourages applications from women and underrepresented minorities to promote scientific excellence.

Join Us

Seize this opportunity to advance cancer research in Milan, where passion meets purpose. Your journey to scientific excellence starts here.

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