Staff Scientist - Rheumatology

Position Summary
Washington University School of Medicine is at the forefront of innovative medical research, dedicated to advancing healthcare solutions. We are seeking a highly qualified Staff Scientist to join our dynamic team and contribute to groundbreaking research projects.
As a Staff Scientist, you will play a pivotal role in two research projects, each offering a unique opportunity to make significant contributions to medical practice in the near future.
Project 1: Computational Modeling for Drug Formulation
• Utilize computational models and tools to lead the development of novel drug formulation processes.
• Apply simulation techniques to address research problems related to fluid flows and multiphase flows in new drug formulations.
• Preferably, be familiar with Comsol software for effective modeling.
Project 2: Machine Learning for Medical Image Analysis
• Apply machine learning techniques for feature extraction from medical images, including MRI and ultrasound.
• Build CNN pipelines to enable seamless integration of human and artificial intelligence.
• Develop a comprehensive approach to leverage both visual and textual information using advanced AI techniques to enhance decision-making in the future medical practice, particularly in predicting disease progression and evaluating the effectiveness of early therapeutic interventions
This position designs research protocols and assists in developing and conducting research projects, including experiment design, data analysis and documentation of experiment results.

Job Description

Primary Duties & Responsibilities

• Following instructions and discussions with the principal investigator, designs research protocols, including developing procedures for the collection, verification and management of data.
• Assists with grant preparation and reporting.
• Performs complex statistical analysis of data collected and writes interpretative reports. Verifies the correctness of the data submitted and makes recommendations based on these analyses.
• Documents research topics and prepares and submits papers based on research work to publications and committees for publication or presentation to peers.
• Solves practical problems relating to difficulties with equipment or test subjects. Suggests technical or procedural improvements in testing methods.
• Conducts literature searches related to research project.
• Performs other duties as assigned.

Working Conditions

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

Preferred Qualifications

• Ph.D. degree in computer science or engineering.
• Strong background in computational modeling and simulation.
• Proficient in machine learning tools and languages, including Pytorch, Tensorflow, Python, and C++.
• Demonstrated experience in building CNN pipelines for medical image analysis.
• Exceptional problem-solving skills and ability to drive research projects independently.
• Effective communication and collaboration skills within a multidisciplinary team.

Required Qualifications

PhD or master’s degree with 4 years of experience in research lab operations; or equivalent combination of education and experience equaling 9 years.

Grade
R10

Salary Range
$47,000.00 - $85,200.00 / Annually

The 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.

Accommodation

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

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.

• Want to Live Near Your Work and/or improve your commute? Take advantage of our free Metro transit U-Pass for eligible employees. We also offer a forgivable home loan of up to $12,500 for closing costs and a down payment for homes in eligible neighborhoods.

• 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/AA Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those from underrepresented groups. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.

Diversity Statement
Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.