Biological Data Scientist

Position Summary

As a computational biologist at the Pancreatic Cancer Center for Excellence (PCCE), in close collaboration with bioinformaticians, biological scientists, and biotechnology technicians, you will focus on analyzing bulk, single-cell and spatial multi-omics data sets from pancreatic cancer patient tumors and disease models to investigate the gene function and regulatory networks driving the tumor and shaping its microenvironment.

You will work with the data science and the biological lab teams to generate and analyze results of high-throughput assays to identify molecular mechanisms underpinning pancreatic-cancer tumorigenesis, progression, treatment resistance and metastasis.

You must possess knowledge and have hands-on experience in analyzing sequencing data sets such as RNA-seq, ChIP-seq, ATAC-seq, DNase-seq, scRNA seq, scATAC-seq, HiC, and GeoMx Spatial transcriptomics data sets.

You must know molecular biology techniques like PCR, next-generation sequencing techniques (for example, library preparation for bulk and single-cell RNA-seq), histology, and flow cytometry.

The candidate must be enthusiastic about preparing solutions, reagents, and media for cell culture and implementing computational biology workflows to address outstanding biological questions and generate meaningful insights into pancreatic cancer research.

You must also possess the ability to adapt to project changes related to scope, schedule, workflow and / or system / process optimization needs as appropriate.

Position Details Posting Category Operations Working Title Biological Data Scientist Job Title Research / Ag Specialist Salary Grade RA24S Appointment Type B1 - REG MGR PROF SALARY Salary Range $69,800 - $104,700 / annual Job Requisition Begin Date 07 / 17 / 2024 Application Review Date 07 / 25 / 2024 Review Date Information : Initial application review will begin on the date provided in the field above.

Applications received prior to this review date will be considered. Applications received after the review date may be considered.

Required and Preferred Qualifications Required Education : Master's degree If any degree major / training is required, please specify the type.

NOTE : Concentration and minors are not equivalent to a major) Master’s degree in bioinformatics, computational biology, or a related field.

Will consider additional post high school education in lieu of required experience) Required Experience 2 years If any experience is required, please specify what kind of experience : Experience with bioinformatics data analysis and / or data management.

Will consider additional post high school education in lieu of required experience) Required License No If yes, what is the required licensure / certification?

Required Computer Applications : Microsoft Excel, Microsoft Word, Microsoft PowerPoint, Microsoft Outlook Required Other Computer Applications : Required Additional Knowledge, Skills and Abilities : General experience with scripting or compiled programming languages BASH shell scripting, Python, Perl, Ruby, Java, Mono.

Skilled with HPC administration.

Ability to program languages (R and Python) and code pipeline management (for example GitHub).Ability to analyze bulk and single-cell sequencing data sets.

Preferred Education : Doctoral degree or equivalent If any degree / training is preferred, please specify the type : Computer Science, Bioinformatics or related quantitative / biomedical discipline.

Preferred Experience : · Experience with media preparation, cell culture techniques, and scientific documentation is highly desired.

Experience in developing bulk as well as single-cell library is highly desired.· Experience with statistical modeling and machine learning is desired.

Preferred License : No If yes, what is the preferred licensure / certification? : Preferred Computer Applications : Preferred Other Computer Applications : General experience with the Linux / Gnu operating system and utilities.

• General experier, with scripting or compiledprogramming languages BASH shell scripting, Python, Perl, Ruby, Java, Mono.) Skilled with HPC administration, DNA and protein sequence Preferred Additional Knowledge, Skills and Abilities : Laboratory Information Management Systems LIMS);
• Eclipse IDE; SG E, PBS or other batch job schedulers; Relational Database Management Systems RDBMS) and SQL programming;

Message Passing Interface MPI) programming; CUDA / OpenCL / G PU programming; use of the MapReduce / Hadoop framework.The knowledge of or ability to quickly become familiar with and productive in any of a variety of programming languages and bioinformatic software applications in either conventional (data center), high-performance computing HPC), or cloud computing environments.