The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

The Widman Lab, part of the Digital Oncology Program at Memorial Sloan Kettering Cancer Center (MSK), is seeking a highly motivated and creative Postdoctoral Fellow to join our team. Our research focuses on developing the next generation of tumor-naive, ultrasensitive liquid biopsy tools for applications including treatment monitoring, early cancer detection, and minimal residual disease (MRD) detection.

The position offers the opportunity to work at the cutting edge of computational cancer genomics and to contribute to impactful translational research in oncology

Exciting Opportunity at MSK: Widman lab postdoc

• Develop, implement, and optimize bioinformatics pipelines for analysis of liquid biopsy sequencing data.

• Apply AI and data science to detect low-frequency cancer-derived signals in circulating cell-free DNA.

• Analyze large-scale genomic datasets to support the development of tumor-naive circulating tumor DNA detection approaches.

• Integrate multi-modal genomic and clinical data to refine predictive models for early detection and treatment response .

• Collaborate with a multidisciplinary team of scientists, computational biologists, and clinicians across MSK.

Key Requirements :

• PhD in Bioinformatics, Computational Biology, Computer Science, Data Science, Cancer Genomics, or a related field.

• Demonstrated ability to work independently and as part of a collaborative team.

• Excellent communication, organizational, and problem-solving skills.

Preferred Experience:

• Knowledge of liquid biopsy technologies and circulating tumor DNA analysis.

• Experience working with large-scale genomic datasets.

• Familiarity with cancer genomics, MRD detection, or early cancer detection assays

Core Skills:

• Strong programming skills in Python, R, and/or other scientific computing languages.

• Experience with NGS data analysis, variant calling, and genomic data interpretation.

• Solid understanding of statistical modeling, machine learning, and data visualization.

Application Instruction:

Submit C.V., letter of interest, and references in your application submission to:

Adam Widman, MD

widmana@mskcc.org

Pay Range: $70,000 - $75,000

Why join us: Work on high-impact translational projects that advance cancer detection and patient care.

• Access to state-of-the-art computational resources and data generated at MSK.

• Be part of a vibrant research environment at one of the world's leading cancer centers.

• Collaborate with experts in oncology, genomics, and computational biology.

Helpful links:

• Widman lab at MSK

• MSK Compensation Philosophy

• Review Our Great Benefits Offerings

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

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