Scheduled Hours

40

Position Summary

Provides critically complex research and experimentation for department/s allowing the advancement of scientific analysis and discovery. Serves as a subject matter expert offering support, training and guidance relative to the discipline/area. May participate and/or present on the research developed, or the established work of those within the department.

A Bioinformatics position is available in the lab of Dr. Sabine Dietmann at Washington University School of Medicine in St. Louis, Missouri, USA. We create innovative computational approaches for multi-omics single-cell data analysis and analysis of RNA modifications by nanopore direct RNA sequencing. Our lab is affiliated with the AI community at the Institute of Informatics, and we use convolutional and graph neural networks. We also collaborate with experimentalists and engineers on human blastoids and embryoids, aging and Alzheimer’s disease (https://profiles.wustl.edu/en/persons/sabine-dietmann).

We are seeking talented candidates with high proficiency in scientific programming languages, such as R and Python. A good understanding of machine learning frameworks in Python (Keras and PyTorch), experience with creating R packages, github and web repositories, and some background in single cell data analysis, epigenetics, or RNA modifications would be very beneficial for this research.

Consistently ranked among the top 10 US medical schools, Washington University School of Medicine offers a highly interactive and stimulating academic environment for scientists in training, a place where you can be an individual and achieve exceptional things. Washington University in St. Louis is an equal opportunity employer and committed to providing a competitive benefits package. Our lab is located in the Central West End of St. Louis, a vibrant neighborhood adjacent to major cultural institutions.

For further information please contact [email protected].

Job Description

Primary Duties and Responsibilities

• Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.
• Coordinates research project with other investigators and institutions.
• Participates in developing hypotheses and experimental design.
• Assists with reporting of methods, data, and results.

Preferred Qualifications

• Ph.D. or master’s degree in Biology, Computer Science, Bioinformatics, Computational Biology, Physics or related field plus demonstrated relevant research experience.
• Analytical, reasoning, and problem-solving skills.
• Good understanding of computational biology.
• Ability to analyze and interpret large complex data sets, such as genome sequencing, microarray gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner.
• Expertise in standard bioinformatics tools.

Application Special Instructions

To apply for a position please submit a detailed CV, a cover letter describing your interest in the position and contact information for two references to [email protected]. Review of applications will begin May 10, 2023 continue until the position is filled. Looking forward to your application.

Required Qualifications

Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field; OR combined education and experience of seven years.

Grade

R09

Salary Range

$43,888.00 - $75,600.00 / 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.

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 [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.