Bioinformatics Scientist
at Sanford Burnham Prebys Medical Discovery Institute
San Diego, CA 92122, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 23 Jan, 2025 | USD 90000 Annual | 23 Oct, 2024 | 5 year(s) or above | Data Visualization,Management Skills,Machine Learning,Life Sciences,Microsoft Office,Computer Science,Biostatistics,Python,Cancer Genomics,Genomics,Professional Communication,Interpersonal Skills,Data Analysis,Bioinformatics | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Sanford Burnham Prebys is a preeminent, independent biomedical research institute dedicated to understanding human biology and disease and advancing scientific discoveries to profoundly impact human health.
The duties and responsibilities contained in the job description are intended to be examples of the accountabilities for which the person in the position will demonstrate competency through performance. The job description is not intended to be an all-inclusive list. Duties and responsibilities are subject to change and other duties may be assigned as necessary.
SUMMARY:
The Bioinformatics Shared Resource role provides cutting-edge computational and systems biology support to the Institute and its NCI-designated Cancer Center. We specialize in omics data analysis, multi-omics data integration, network and pathway analysis. Different levels of data analyses are provided, based on the complexity of researchers’ data sets. This may include automated pipeline-based analyses and customized deep data mining. We are looking for a talented candidate for a Bioinformatics Scientist (applicants with a Ph.D.) or Bioinformatics Specialist (applicants with MS or BS) position in this challenging computational team. The successful candidate should have strong genomics, computational, and statistical skills, great communication and interpersonal skills, and able to independently solve scientific projects.
EDUCATION AND/OR EXPERIENCE:
- Master’s degree in Bioinformatics, Biostatistics, Computer Science or Life Sciences plus three years direct experience (five years’ preferred) or an equivalent combination of education, training and/or experience from which comparable knowledge, skills and abilities have been attained required
- Ph.D. in Bioinformatics, Biostatistics or Life Sciences preferred
OTHER KNOWLEDGE, SKILLS AND/OR ABILITIES:
- Expert level knowledge of advanced sequencing, array-based technologies and proteomics technologies
- Proficiency in NGS data analysis including bulk and single cell datasets
- Ability to mine and interpret publicly available single cell dataset relevant for SBP projects
- Familiarity with large scale cancer genomics datasets e.g. TCGA, DepMap
- Strong statistics, machine learning and data mining skills
- Strong programming skills including Python and/or R Experience with Linux/Unix and high-performance computing environment
- Superior data visualization skills and ability to generate high quality figures
- Keep up to date on new developments and technical advances in the fields of bioinformatics, data visualization, genomics and biological fields related to SBP labs
- Communicate effectively and collaborate well with Principal Investigators and their team members
- Work independently as well as in a team environment
- Be responsible and have strong time management skills
- Able to analyze and resolve issues of moderate complexity
- Possess strong attention to detail and organizational skills
- Demonstrate professional communication and interpersonal skills
- Demonstrate professional proficiency in Microsoft Office
Responsibilities:
DUTIES AND RESPONSIBILITIES:
Analyzes, integrates and interprets omics data sets, including Next Generation Sequencing (NGS) datasets (such as RNA-seq, ATAC-seq, ChIP-seq, Exome-seq, DNA-seq), single cell datasets (such as scRNA-seq and scATAC-seq), spatial omics (such as Nanostring DSP and 10X Visium HD), and proteomics datasets.
- Implements and executes analysis pipelines and customizes tools for omics data analysis, including scripting, programming, statistical analyses and applying common standard analysis tools and algorithms (R/Bioconductor, Python, etc.)
- Independently supports and manages multiple parallel projects directed by lab investigators and contributes to the general technical knowledge of researchers and may present findings
- Manages iLab charging system, tracks project status, and provides monthly reports for iLab projects
- Evaluates new technologies
- Provides guidance to lower level staff and other Sanford Burnham Prebys researchers
SUPERVISORY RESPONSIBILITIES:
No, this position does not have any formal supervisory responsibilities
REQUIREMENT SUMMARY
Min:5.0Max:10.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science
Proficient
1
San Diego, CA 92122, USA