Staff Scientist - JR30324-3800

  • The University of Chicago
  • Chicago, Illinois
  • Full Time
This job was posted by : For more

information, please see:

**Department**

BSD MED - Hematology and Oncology - Izumchenko Research Staff

**About the Department**

We are aiming to recruit a skilled Staff Scientist to the Translational

Head and Neck Cancer Research group led by Drs. Evgeny Izumchenko and

Nishant Agrawal. Our focus is on understanding the complex interplay

between the genetic and epigenetic alterations in head and neck

carcinogenesis and progression, and on exploiting this understanding for

developing novel biomarkers for diagnosis and risk stratification as

well as in identifying targets for therapeutic intervention. Drs.

Izumchenko and Agrawal lab is an integral component of the translational

head and neck cancer research program at the University of Chicago,

working collaboratively with the team of investigators with

complementary and integrated expertise including surgeons, clinical

oncologists, pathologists and computational biologists. Our group

members are known for their contributions to the advancement of

groundbreaking research, pursuing a diverse range of basic,

translational, and clinical research projects on head and neck cancer

genetics, microbiome, bioengineering, stem cell renewal, and

immunotolerance.

**Job Summary**

The Staff Scientist will design, plan and perform a variety of complex

and technical experiments using both cellular and animal models in

support of clinical and translational research studies conducted by

principal investigators (PIs) for the research program to ensure

adherence to clinical and experimental protocols and the quality of

information received. In addition, the candidate will be responsible for

data analysis, training new staff, managing research data, write

manuscripts and assist with grant preparation and project management.

**Responsibilities**

- Develop and design complex, hypothesis-driven experiments aligned

with lab goals.

- Independently conduct molecular, cellular, and in vivo experiments

(e.g., cell culture, flow cytometry, animal models, CRISPR, omics

technologies).

- Implement state-of-the-art techniques in cancer biology, including

genomics, transcriptomics, proteomics, and imaging.

- Troubleshoot technical issues and optimize protocols.

- Analyze large datasets from high-throughput experiments.

- Perform statistical analysis and bioinformatics relevant to cancer

research.

- Interpret findings in the context of current scientific literature

and cancer biology.

- Identify novel biomarkers, drug targets, or mechanistic insights.

- Lead multiple research projects simultaneously with minimal

supervision.

- Manage timelines, resources, and milestones effectively.

- Coordinate collaborations with internal teams and external academic

or industry partners.

- Supervise and mentor junior staff, technicians, graduate students,

or postdocs.

- Prepare manuscripts for peer-reviewed publications.

- Contribute to grant writing, progress reports, and funding

proposals.

- Maintain detailed and accurate lab notebooks and documentation for

reproducibility.

- Serves as a resource for collecting data and performing analysis.

Facilitates and promotes a research project by providing scientific

or intellectual information.

- Creates first drafts for scientific writing and publications,

including protocols and grants.

- Performs other related work as needed.

**Minimum Qualifications**

**Education:**

Minimum requirements include a PhD in related field.

**Work Experience:**

Minimum requirements include knowledge and skills developed through 5-7

years of work experience in a related job discipline.

**Certifications:**

**\-\--**

**Preferred Qualifications**

**Experience:**

- Experience working in Trans ational/Clinical research settings.

- Experience facilitating and promoting a research project or

contributing to the scientific direction of a research resource

(core facility).

**Preferred Competencies**

- Deep knowledge of cancer biology, including molecular pathways,

tumor microenvironment, metastasis, and therapy resistance.

- Familiarity with cancer models: xenografts, syngeneic models, PDX

models, genetically engineered mouse models.

- Knowledge of statistical methods and experimental design.

- Ability to formulate hypotheses.

- Ability to interpret omics datasets.

- Strong writing skills.

- Works effectively with multidisciplinary teams.

**Application Documents**

- Resume/CV (required)

- Cover Letter (required)

When applying, the document(s) **MUST**be uploaded via the **My

Experience** page, in the section titled **Application Documents** of

the application.

**Job Family**

Research

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Job ID: 482344990
Originally Posted on: 6/22/2025

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