Visiting Scholar-Medical Oncology

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We are actively seeking a motivated Visiting Scholar to join our dynamic research team at Hasanov Lab in PIIO to conduct research experiments related to cancer research; maintain lab and lab supplies; collect and analyze data.

Process, analyze, and interpret high-dimensional data from various omics platforms.

Collaborate closely with multidisciplinary teams to answer crucial questions in tumor biology and immunology.

Publish research findings in high-impact journals.

Provide bioinformatics support and training to team members.

The Pelotonia Institute for Immuno-Oncology (PIIO) stands as a proud pillar of The Ohio State University Comprehensive Cancer Center - The James. Recognized as a leading national entity in cancer research and care, The James envisions a world without cancer and relentlessly pursues this by melding groundbreaking scientific research with unparalleled education and compassionate patient care. Under the vast shadow of The James, PIIO dedicates itself to deepening our understanding of cancer immunology and spearheading pioneering cancer immunotherapies. We pride ourselves on providing a top-tier research environment, marked by an ethos of collaboration, innovation, and unwavering commitment to confronting the scourge of cancer.

At the heart of our endeavors is Dr. Elshad Hasanov’s laboratory, with its razor-sharp focus on genitourinary malignancies, renal cell carcinoma (RCC), and pan-cancer brain metastasis. Dr. Hasanov and his team are adept at harnessing cutting-edge technologies. They delve into single cell RNA, DNA and ATAC sequencing methodologies, spatial transcriptomics, and proteomics tools, aiming to decipher the intricacies of the tumor microenvironment and uncover novel therapeutic pathways. In synergy, his wet lab and clinical divisions diligently work to transform these insights into tangible clinical trials.

When you join our esteemed team, you aren't just taking on a job. You're aligning with a mission— a fervent quest to transform scientific eurekas into clinical realities that reshape and save live

s.

Required Qualifications

MD or PhD. in a related field (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics).

Proficiency in programming/scripting languages such as Python, R, or Perl.

Experience with single-cell and spatial data analysis tools and techniques

Deep knowledge of tumor biology and immunology.

Strong publication record.

Excellent communication skills, both written and verbal.

Ability to work collaboratively in a team setting.

Preferred Qualifications

Proficiency in cloud computing and familiarity with high-performance computing environments.

Expertise in database management and seamless data integration.

Prior engagement in oncological research.

Hands-on experience with specific single-cell screening methods, including but not limited to Perturb/CROP-seq, sci-Plex, Reprogram-seq, and their counterparts.

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