Biological Sciences Division at the University of Chicago
Staff Scientist
Biological Sciences Division at the University of Chicago, Chicago, Illinois, United States, 60290
Position Overview
Staff Scientist – Biological Sciences Division, University of Chicago
Department The Kenny/Lengyel laboratory is part of the Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, studying the biology of ovarian cancer. The laboratory has about 15 members investigating the role of metabolism and methyltransferases in ovarian cancer metastasis. We use a variety of cutting‑edge methods, including spatial proteomics, spatial metabolomics, 3D organotypic cultures of human tissue, spatiotemporal characterization of the immune system, and stable‑isotype tracing in patients. Bioinformatic support and access to all Core facilities at the University of Chicago are available in the laboratory. We develop novel inhibitors to treat cancer and study biomarkers to diagnose ovarian cancer and detect ovarian cancer early.
Our translational research laboratory is in the Center for Integrated Science, a research building on campus that houses 40 independent research groups. This at‑will position is wholly or partially funded by contractual grant funding, which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Job Summary The role facilitates and promotes a research project or contributes to the scientific direction of a research resource. Receives a moderate level of guidance and direction. The focus of the job is to oversee a subgroup in the laboratory dedicated to projects using machine learning, data analysis, and artificial intelligence. The overall goal is to conduct multiple projects:
Textual Prediction of Survival (LLM classification & Attention Modelling)
Multimodal Prediction of Response to Platinum‑Based Chemotherapy (Computational Pathology & MIL)
Scanner Calibration (Computational Pathology & Omics normalization)
Pathological Phenotypes Show Survival Groups (Clustering & Computational Pathology)
Deep Visual Proteomics (Cell Segmentation)
CODEX (Cell Segmentation, Cell Classification, Community Detection)
The applicant will participate in grant writing, represent the laboratory at conferences, and provide project management for translational projects.
Responsibilities
Supervise new laboratory personnel in the development subgroup.
Lead collaborative efforts to optimize methods, modelling, and analysis.
Serve as the lead contact for collaborations using AI.
Compliance of research activities with institutional, state, and federal regulatory policies.
Support the scientific writing of protocols (IRB), publications, and grants (both federal and non‑federal).
Contribute to proofreading, and fact‑checking papers, grants, and presentations.
Serves as a resource for collecting data and performing analysis. Contributes to facilitating and promoting a research project by providing scientific or intellectual information.
Reviews laboratory protocols and training on new techniques. Manage complex data sets for research.
Leads the contributions to scientific writing and publications, including protocols and grants.
Trains new laboratory personnel.
Performs other related work as needed.
Education
PhD, MD, or equivalent doctoral degree and experience with pre‑clinical and clinical studies.
Minimum Qualifications
PhD in related field.
2‑5 years of work experience in a related job discipline.
Preferred Qualifications – Education
PhD, MD, or equivalent doctoral degree and experience with pre‑clinical and clinical studies.
Preferred Qualifications – Experience
Five years of relevant research experience.
A background in toxicology studies, clinical protocol development and execution.
Experience with basic statistics.
Experience with databases.
Quality control.
Previous experience developing standard operating procedures.
Preferred Qualifications – Competencies
Knowledge in one or more relevant scientific fields.
Proficient in research techniques or methods.
Knowledge of regulatory policies and procedures.
Analytical skills.
Problem‑solving skills.
Attention to detail.
Organizational skills.
Verbal and written communication skills.
Work independently and as part of a team.
Proficient in Microsoft Office.
Working Conditions
Laboratory environment.
Application Documents
Resume (required)
Cover Letter (preferred)
When applying, the documents
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.
Salary and Benefits Pay range: $70,000.00 – $90,000.00 per year.
Base pay range: $70,000.00/yr – $90,000.00/yr.
Pay rate type: Salary. FLSA status: Exempt.
Benefits eligible: Yes. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Drug test required: Yes. Health screen required: Yes. Motor vehicle record inquiry required: No.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Research, Analyst, and Information Technology
Industries: Higher Education
EEO Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773‑702‑5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment.
The University of Chicago's Annual Security & Fire Safety Report provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The report can be accessed online at: http://securityreport.uchicago.edu.
#J-18808-Ljbffr
Department The Kenny/Lengyel laboratory is part of the Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, studying the biology of ovarian cancer. The laboratory has about 15 members investigating the role of metabolism and methyltransferases in ovarian cancer metastasis. We use a variety of cutting‑edge methods, including spatial proteomics, spatial metabolomics, 3D organotypic cultures of human tissue, spatiotemporal characterization of the immune system, and stable‑isotype tracing in patients. Bioinformatic support and access to all Core facilities at the University of Chicago are available in the laboratory. We develop novel inhibitors to treat cancer and study biomarkers to diagnose ovarian cancer and detect ovarian cancer early.
Our translational research laboratory is in the Center for Integrated Science, a research building on campus that houses 40 independent research groups. This at‑will position is wholly or partially funded by contractual grant funding, which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Job Summary The role facilitates and promotes a research project or contributes to the scientific direction of a research resource. Receives a moderate level of guidance and direction. The focus of the job is to oversee a subgroup in the laboratory dedicated to projects using machine learning, data analysis, and artificial intelligence. The overall goal is to conduct multiple projects:
Textual Prediction of Survival (LLM classification & Attention Modelling)
Multimodal Prediction of Response to Platinum‑Based Chemotherapy (Computational Pathology & MIL)
Scanner Calibration (Computational Pathology & Omics normalization)
Pathological Phenotypes Show Survival Groups (Clustering & Computational Pathology)
Deep Visual Proteomics (Cell Segmentation)
CODEX (Cell Segmentation, Cell Classification, Community Detection)
The applicant will participate in grant writing, represent the laboratory at conferences, and provide project management for translational projects.
Responsibilities
Supervise new laboratory personnel in the development subgroup.
Lead collaborative efforts to optimize methods, modelling, and analysis.
Serve as the lead contact for collaborations using AI.
Compliance of research activities with institutional, state, and federal regulatory policies.
Support the scientific writing of protocols (IRB), publications, and grants (both federal and non‑federal).
Contribute to proofreading, and fact‑checking papers, grants, and presentations.
Serves as a resource for collecting data and performing analysis. Contributes to facilitating and promoting a research project by providing scientific or intellectual information.
Reviews laboratory protocols and training on new techniques. Manage complex data sets for research.
Leads the contributions to scientific writing and publications, including protocols and grants.
Trains new laboratory personnel.
Performs other related work as needed.
Education
PhD, MD, or equivalent doctoral degree and experience with pre‑clinical and clinical studies.
Minimum Qualifications
PhD in related field.
2‑5 years of work experience in a related job discipline.
Preferred Qualifications – Education
PhD, MD, or equivalent doctoral degree and experience with pre‑clinical and clinical studies.
Preferred Qualifications – Experience
Five years of relevant research experience.
A background in toxicology studies, clinical protocol development and execution.
Experience with basic statistics.
Experience with databases.
Quality control.
Previous experience developing standard operating procedures.
Preferred Qualifications – Competencies
Knowledge in one or more relevant scientific fields.
Proficient in research techniques or methods.
Knowledge of regulatory policies and procedures.
Analytical skills.
Problem‑solving skills.
Attention to detail.
Organizational skills.
Verbal and written communication skills.
Work independently and as part of a team.
Proficient in Microsoft Office.
Working Conditions
Laboratory environment.
Application Documents
Resume (required)
Cover Letter (preferred)
When applying, the documents
MUST
be uploaded via the
My Experience
page, in the section titled
Application Documents
of the application.
Salary and Benefits Pay range: $70,000.00 – $90,000.00 per year.
Base pay range: $70,000.00/yr – $90,000.00/yr.
Pay rate type: Salary. FLSA status: Exempt.
Benefits eligible: Yes. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Drug test required: Yes. Health screen required: Yes. Motor vehicle record inquiry required: No.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Research, Analyst, and Information Technology
Industries: Higher Education
EEO Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773‑702‑5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment.
The University of Chicago's Annual Security & Fire Safety Report provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The report can be accessed online at: http://securityreport.uchicago.edu.
#J-18808-Ljbffr