Primary Duties & 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.
Applicant Special Instructions
Working Conditions:
Job Location/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
Normal office environment.
Physical Effort
Typically sitting at desk or table.
Repetitive wrist, hand or finger movement (PC Typing).
Equipment
Office equipment.
Education:
Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
Certifications/Professional Licenses:
Work Experience:
Skills:
Driver's License:
We are currently seeking a talented and motivated bioinformatics analysis to drive forward projects related to improving immunotherapies for cancer within the Department of Medicine, Division of Oncology, and Section of Computational Biology. The Foltz lab works at the intersection of translational immunology and computational biology. We study mechanisms of response and resistance to natural killer (NK) cell therapies by integrating single-cell sequencing approaches, clinical samples, and experimental biology on primary human immune cells to improve NK cell therapies for cancer.
The ideal candidate will have experience analyzing scRNA-seq, CITE-seq, and ATAC-seq data along with knowledge in immunology and proficiency in R and python. It would also be beneficial to have experience in high-performance computing environments, machine learning, git, whole-genome and exome sequencing analysis, and spatial -omics. An ability to learn new skills, take initiative, attention to detail, and conceptualize data is essential. More details of the Foltz lab can be found here: https://jfoltzlab.org/.
Education:
Master's degree
Certifications/Professional Licenses:
Work Experience:
Skills:
Ability to Reason, Analytical Thinking, Bioinformatics Tools, Communication, Complex Data Analysis, Computational Biology, Gene Expression Microarray, Genome Sequencing, Group Problem Solving, Human Genetics, Model OrganismFor frequently asked questions about the application process, please refer to our External Applicant FAQ.
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.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/