Postdoctoral Fellows and Bioinformatics Scientists wanted! Please see job descriptions below.

Bioinformatics Scientist

POSITION SUMMARY: 

A Bioinformatics Scientist position in single cell cancer genomics is available at Washington University School of Medicine in St. Louis. The scientist will use computational approaches to analyze, integrate, and interpret large-scale genomic data — with an emphasis on single-cell RNA-sequencing data — to study heterogeneity and gene regulatory networks in cancer. Current projects address topics such as intratumoral expression heterogeneity and tumor evolution in acute myeloid leukemia, and the interplay of genetic, epigenetic, and immunological heterogeneity in solid tumors such as glioblastoma. The scientist will work in a highly collaborative environment, involving extensive interaction with faculty, molecular biologists, computational biologists, programmers, and clinicians in the Division of Oncology and the McDonnell Genome Institute.  The position assists in developing and conducting research projects, including experiment design, data analysis, and documentation of experiment results.

 

PRIMARY DUTIES AND RESPONSIBILITIES

1.

Designs, develops, and implements:

·       Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic data, especially single-cell and bulk RNA-seq data.]

·       Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets.

·       Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data.

 

50 %

2.

Performs complex systems analysis of data and writes interpretative reports.

30 %

3.

Evaluates commercial and academic bioinformatics software.

5 %

4.

Trains other researchers on the everyday use of analysis software and research databases.

 

5 %

5.

Assists with grant preparation and reporting of methods, data, and results.

5 %

 

6.

Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods.

 

5   %

JOB LOCATION/WORKING CONDITIONS:  Normal office conditions.

MINIMUM EDUCATION AND EXPERIENCE:  Requires a bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus 4 years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field plus 2 years of experience; OR combined education and experience of 9 years.

PREFERRED EDUCATION AND EXPERIENCE:

  • Master’s degree or Ph.D. in computer science, statistics, computational biology, applied math, physics, bioinformatics, genomics, or a related field.
  • Proficiency in the *nix shell and at least one programming language (Python, R, Perl, C, etc).
  • Experience with statistical software packages in R and/or Python.
  • Experience with quantitative analysis of large, multidimensional data sets, particularly gene expression and/or next-generation sequencing data.
  • Working knowledge of genetics and cell biology.
  • Interest in Machine Learning.
  • Strong oral and written communication skills.
  • Ability to solve scientific and quantitative problems creatively.
  • Ability to work effectively in a team.

APPLICANT SPECIAL INSTRUCTIONS: Interested candidates should submit their curriculum vitae, statement of research interests, and contact information for three references via e-mail to Dr. Allegra Petti (allegra.petti@wustl.edu). 

Postdoctoral Fellow

A postdoctoral scholar position in the area of Single Cell Cancer Genomics is available in the laboratory of Dr. Allegra Petti in the Division of Oncology at Washington University School of Medicine in St. Louis.

We use computational approaches to analyze, integrate, and interpret large-scale genomic data — with an emphasis on single-cell RNA-sequencing data — to better understand heterogeneity and gene regulatory networks in human cancer. We participate in long-term, data-rich collaborations with established labs at Wash. U., in which quantitative analysis is closely integrated with clinical studies and molecular biology. The postdoctoral scholar will be involved in projects that address topics such as intratumoral expression heterogeneity and tumor evolution in AML, and the interplay of genetic, epigenetic, and immunological heterogeneity in solid tumors. Opportunities to initiate and lead projects, to participate in ongoing group projects, and to be co-mentored by faculty collaborators are plentiful.

Environment

The postdoc will work in a highly collaborative environment, involving extensive interaction with computational biologists, programmers, molecular biologists, clinicians, and other faculty in the Division of Oncology and the McDonnell Genome Institute.

Primary duties and responsibilities

  1. Implement and develop statistical methods and automated pipelines to analyze and visualize high throughput sequencing data, particularly single-cell and bulk gene expression data.
  2. Integrate genetic and epigenetic information about tumor samples, including mutation, gene expression, and methylation data.
  3. Perform and develop integrated pathway and gene network analyses related to cancer.
  4. Evaluate and design experimental plans for sequencing-based projects studying the genetic basis of cancer.
  5. Analyze and interpret results, read the literature, communicate with collaborators, and produce scientific publications.

Required qualifications

A doctoral degree in computational biology, bioinformatics, computer science, statistics, applied math, biology, or a related field, with a solid background in programming and machine learning/statistics.

Preferred qualifications

The successful candidate will be self-motivated, adept at critical thinking, collaborative, and eager to acquire new knowledge and skills on a regular basis. The ability to analyze and interpret results, communicate with others, and produce scientific publications is essential.

To apply

Please send a curriculum vitae, statement of research interests, and contact information for three references to Dr. Allegra Petti at allegra.petti@wustl.edu.

Salary range

The salary range for this position is commensurate with experience and NIH guidelines.

Benefits

This position is eligible for full-time benefits. Please visit the Human Resources postdoctoral benefits page for more information.

EOE statement

Washington University in St. Louis is an equal opportunity, affirmative action employer and encourages applications from women, ethnic minorities, veterans and individuals with disabilities.