Biological Data Scientist Job at University of Nebraska Medical Center, Omaha, NE

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  • University of Nebraska Medical Center
  • Omaha, NE

Job Description

Requisition Details

GENERAL REQUISITION INFORMATION

EEO Statement:


UNMC is an Affirmative Action Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.

Location
Omaha, NE


Requisition Number:
Staff_13207


Department
Eppley Inst PCCE 50013051


Business Unit
Eppley Institute


Reg-Temp
Full-Time Regular


Work Schedule
TBD by supervisor and responsibilities


Remote/Telecommuting
No remote/telecommuting opportunity


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


Additional Information

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 (e.g., 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 (e.g., 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.

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Job Tags

Full time, Temporary work,

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