Senior Scientist - Anesthesiology

Washington University in St. Louis · Washington University Medical Campus · $63,400–$115,000 (stated in the posting)

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Location

SAINT LOUIS, MO 63110



Scheduled Hours

Position Summary

The Gulur Lab in the Department of Anesthesiology at WashU Medicine studies why patients respond differently to pain experiences and how we can alter their trajectory. We are seeking a Senior Scientist with strong expertise in study design, quantitative methods, and computational science who is excited to work across disciplines and help shape this research.

Collaborates on designing, conducting and reporting of research projects.

Job Description

Primary Duties & Responsibilities:

Lead defined research projects within the laboratory's broader scientific program, integrating large-scale clinical and longitudinal data with rigorous quantitative and computational approaches.
Develop and execute studies from literature review and hypothesis development through study design, protocol development, analysis, interpretation, and dissemination.
Work closely with the Principal Investigator and collaborators to refine research questions and develop new lines of investigation.
Apply rigorous and reproducible methods to complex clinical data using R, Python, SAS, SQL, or related tools, with well-documented code and workflows.
Apply longitudinal analysis, causal inference, machine learning, and AI-enabled approaches when appropriate to the scientific question.
Leverage large clinical studies, electronic health records, administrative or claims data, registries, and other large-scale datasets.
Collaborate with clinicians, epidemiologists, biostatisticians, informaticians, data scientists, data providers, and investigators across disciplines.
Coordinate data acquisition, harmonization, analysis, interpretation, and communication across research projects.
Lead and contribute to manuscripts, scientific presentations, abstracts, and grant applications.
Provide scientific and methodological guidance to junior analysts, research staff, students, and trainees.
Maintain high standards of scientific rigor, reproducibility, research integrity, and responsible conduct of research.
Maintain appropriate research records and comply with institutional data, privacy, security, and regulatory requirements.

Working Conditions:

Works in a laboratory environment with potential exposure to biological, chemical and radioactive hazards.
Must be physically able to wear protective equipment and to provide standard care to research animals.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Phd Or Terminal Degree Or Combination Of Education And Experience May Substitute For Minimum Education.

Certifications/Professional Licenses:

No specific certification/professional license is required for this position.

Work Experience:

Postdoctoral (3 Years)

Skills:

Not Applicable

Driver's License:

A driver's license is not required for this position.

More About This Job

Preferred Qualifications:

PhD, MD, or equivalent doctoral degree in epidemiology, biostatistics, statistics, data science, biomedical informatics, quantitative health sciences, computer science, engineering, or a related discipline.
Demonstrated experience in quantitative clinical, epidemiologic, health services, or data science research.
Experience carrying research questions from study design through analysis, interpretation, and dissemination.
Experience working with large or complex datasets and contributing to scientific publications or presentations.
Strong quantitative and analytical skills and proficiency in one or more of R, Python, SAS, or SQL.
Strong understanding of study design and statistical methods, with a commitment to reproducible research.
Excellent written and verbal communication skills and ability to work effectively in multidisciplinary teams.
Experience with large clinical studies, electronic health record data, claims data, registries, or longitudinal datasets.
Experience with longitudinal methods, causal inference, pharmacoepidemiology, comparative effectiveness research, predictive modeling, machine learning, or related approaches.
Experience applying machine learning or AI methods to biomedical or clinical research questions.
Experience with data harmonization across multiple data sources.
Experience leading multidisciplinary research projects, manuscripts, or grant proposals.
Experience mentoring analysts, staff, students, or trainees.

Preferred Qualifications

Education:

No additional education unless stated elsewhere in the job posting.

Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.

Work Experience:

No additional work experience unless stated elsewhere in the job posting.

Skills:

Analytical Problem Solving, Data Science, Datasets, Laboratory Instrumentation, Laboratory Processes, Laboratory Techniques, Oral Communications, Python (Programming Language), Quantitative Research, Scientific Presentations, Scientific Publications, Statistical Methods, Structured Query Language (SQL), Study Design, Teamwork, Working Independently, Written Communication

Grade

R12

Salary Range

$63,400.00 - $115,000.00 / AnnuallyThe salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our External Applicant FAQ.

Accommodation

If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Personal

Up to 22 days of vacation, 10 recognized holidays, and sick time.
Competitive health insurance packages with priority appointments and lower copays/coinsurance.
Take advantage of our free Metro transit U-Pass for eligible employees.
WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.
WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity or shared ancestry, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. As a federal contractor, the university maintains affirmative action programs to implement its equal employment opportunity policy for individuals with disabilities and protected veterans, in accordance with Section 503 of the Rehabilitation Act of 1973, as amended, and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974 (VEVRAA), as amended.

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