Research Prime

Computational Scientist - Genomics

Organisation Name: M. D. Anderson Cancer Center
Organisation Type:
City: Houston
State: TX
Country: United States

Job Description:

The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public.

SUMMARY

The Wang Laboratory at MD Anderson Cancer Center is a cancer immunogenomics and computational biology research lab. We apply innovative immunogenomics and bioinformatics approaches to deeply profile tumor cells and cells of the tumor microenvironment in order to identify tumor cell intrinsic and microenvironmental factors driving the heterogeneity and evolution of the tumor-immune ecosystems and better understand the mechanisms underlying early tumorigenesis, disease progression, and therapy resistance.

We are seeking a highly motivated and enthusiastic Computational Scientist who will lead the analysis of the multi-omics data generated using bulk, single-cell, and spatial genomic sequencing technologies. A primary responsibility of this position is to conduct bioinformatics analysis and develop novel analytical methods and tools as needed to address key scientific questions.

JOB SPECIFIC COMPETENCIES

* Participate in the design of computational experiments, data analysis and results interpretation.
* Pre-process bulk, single cell, and spatial genomic data.
* Conduct computational analysis of genomics and immunogenomics data from high-throughput profiling technologies (bulk and single cell), such as single-cell DNA/RNA/TCR/BCR/ATAC-seq and spatial transcriptomics & proteomics platforms, and perform high-dimensional, multi-modal data integration.
* Adopt and evaluate existing methods and tools, improve methods, establish and maintain computational infrastructure and analytic pipelines in the lab.
* Develop computational methods for integrative analysis of single cell and spatial multi-omics data.
* Meets with collaborators to discuss projects and communicate results.
* Work with teams of individuals to integrate data / metadata and assist postdocs and students in the lab in analyzing and resolving analysis issues.
* Assist with manuscript and grant preparation and present results during lab meetings, at department and institutional meetings and seminars, and at appropriate scientific conferences.
* Employ safe laboratory practices and help to maintain current and accurate records of research data.
* Other duties as assigned and inclusive of: attend collaborator meetings and team working group meetings; prioritize and manage multiple projects in a timely and resource-effective manner; read literatures, gather relevant information systematically, and confers with supervisor regarding new procedures; organize data on laboratory servers; Assist with data/code submission, and distribute methods and codes to the scientific community, etc.

Ideal Candidate:
* Should have a Master's or a Ph.D. degree in biomedical sciences or a related field.
* Computational experience in the field of cancer genomics, single-cell multi-omics, and/or spatial
transcriptomics is preferred;
* Three-year experience in scientific software development is preferred.
* Proficiency in at least one programming languages such as R, Perl, Python, JAVA, etc.
* Experience with Linux server administration and data management is required.
* Must be highly motivated, reliable, responsible, well organized and a careful record
keeper with good attention to details.
* Excellent written and verbal communication skills are required as well as the ability to work well in a collaborative and interdisciplinary team environment.
* Strong attention to detail, multi-tasking and a willingness to learn new technologies is encouraged.

PHYSICAL DEMANDS



Frequency

Weight

Sitting
Keyboarding
Carrying
Lifting
Standing
Pushing/Pulling
Reaching

Constant 67-100%
Constant 67-100%
Occasionally 11-33%
Seldom 3-10%
Occasionally 11-33%
Occasionally 11-33%
Seldom 3-10%

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--
10-20 lbs
10-20 lbs
--
10-20 lbs
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EDUCATION:
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics or related field.

Preferred: Master's degree or PhD with a concentration in Science, Engineering or related field.

EXPERIENCE:
Required: Five years experience in scientific software development/analysis. With preferred degree three years experience required.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

Additional Information
  • Requisition ID: 147735
  • Employment Status: Full-Time
  • Employee Status: Regular
  • FLSA: exempt and not eligible for overtime pay
  • Work Week: Days
  • Fund Type: Soft
  • Work Location: Hybrid Onsite/Remote
  • Pivotal Position: Yes
  • Minimum Salary: US Dollar (USD) 81,000
  • Midpoint Salary: US Dollar (USD) 101,500
  • Maximum Salary : US Dollar (USD) 122,000
  • Science Jobs: Yes

Posting Date: Feb 24, 2022
Closing Date:
Organisation Website/Careers Page: https://jobs.mdanderson.org/search/jobdetails/computational-scientist---genomics/d55008ad-6f48-4b24-abbe-84b96cd6eb57


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