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Senior bioinformatics scientist skills for your resume and career
15 senior bioinformatics scientist skills for your resume and career
1. Python
Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.
- Developed client-side interface using MATLAB, Python.
- Analyze data via Unix tools, Spotfire, Python, Perl, R, Excel, and internal scripts and tools.
2. Next-Generation Sequencing
- Established a Next-generation sequencing platform and developed assays for high-throughput genetic analysis using Ion Torrent Personal Genome Machine (PGM).
- Led execution of research evaluation study to prepare Small-RNA sequencing libraries from clinical samples for Next-Generation sequencing.
3. Data Analysis
- Optimized and developed algorithms for data analysis of custom projects.
- Developed and deployed dozens of data collection automation projects that fed into Bigdata analysis tools.
4. Visualization
- Developed optical system/technique for optical visualization and otherwise characterizing traveling ring vortex and related fluid phenomena in air.
- Facilitated customer acceptance of demand forecast by developing visualization processes, tutoring clients in methodology, and providing detailed walk-through examples.
5. Computational Biology
- Develop, validate and implement novel algorithms and provide computational biology and biostatistics support for various projects; 3.
6. NGS
- Evaluated, researched various short read NGS de novo assembly software such as SOAPdenovo2, ALLPATHS-LG, AbySS, etc.
- Developed tools to automatically validate VCF files generated in clinical NGS pipelines.
7. C++
C++ is a general-purpose programming language that is used to create high-performing applications. It was invented as an extension to the C language. C++ lets the programmer have a high level of domination over memory and system resources. C++ is an object-oriented language that helps you implement real-time issues based on different data functions
- Developed deliverable software and served as configuration manager for C++ search planning product.
- Developed software applications in MS Visual C++ and MS Visual Basic for data management and instrument interfaces.
8. Linux
Linux is a Unix-like operating system. Just like Windows, Mac OS, and IOS, Linux is an operating system used by millions across the globe. Android itself is powered by the Linux operating system. Linux manages all the hardware resources that are associated with your computer. The software is famous because of the protection it grants from viruses, malware, and crashes. The Linux operating system is entirely free and is an open-source software meaning it can be altered by those equipped with the knowledge to code.
- Maintained and increased functionality of automation software tools, internal project web server and Oracle database under Linux system.
- Helped to procure and setup a Linux computational cluster, and provided day-to-day system administration and user support.
9. Cloud Computing
- Advocated and evangelized virtualization and Cloud Computing with VMware.
10. Perl
A Practical Extraction and Report Language, or simply PERL, is a programming language used for a script intended for syntax. You can see this when a particular web programmer or a junior developer creates a script for servers. It is used to manipulate text and utilize tasks such as web development, programming, and system administration.
- Assumed responsibility for programming, using Perl and CGI and shell scripting.
- Designed and developed a methodology for antibody sequence annotation and implemented with PERL.
11. Statistical Analysis
- Developed Standard Operating Procedures (SOP) for statistical analysis and data flow within the company.
- Performed quality checks and statistical analysis on assay generated data, to evaluate the activities of tobacco condensate and other chemicals.
12. SQL
- Worked within UNIX- and LINUX-based environment, using Postgres and SQL database.
13. Profiling
- Provided novel approaches for target validation in exploratory research and lead compound profiling in early stage clinical programs.
- Devised, engineered and implemented pioneering robotic automation systems to enable the profiling of HDL elevating compounds.
14. RNA-seq
- Integrated DNA-seq and RNA-seq data for variant calling analysis and clincal cancer studies.
- Develop analysis pipelines for various assays including RNA-Seq, ribosome profiling and whole genome dilution haplotyping.
15. Biomarkers
Biomarkers, also known as biological markers, are measurable characteristics of a body that tells or describes one's condition. They play a significant role in the medical field as they can help physicians diagnose and treat different kinds of medical issues and concerns. Biomarkers may also be associated with blood pressure, cholesterol levels, x-rays, scan results, blood and urine tests, and body mass index.
- Conducted research and analyzed data to identify potential biomarkers and provide input for selection of candidates for non-clinical studies development.
- Led a group of scientists involved in the identification, development and validation of biomarkers for Respiratory and Immunology programs.
What skills help Senior Bioinformatics Scientists find jobs?
Tell us what job you are looking for, we’ll show you what skills employers want.
What skills stand out on senior bioinformatics scientist resumes?
Alexandra (Sasha) Ormond Ph.D.
Associate Professor of Chemistry, Director of Dual Degree Engineering, Meredith College
What senior bioinformatics scientist skills would you recommend for someone trying to advance their career?
Associate Professor, Gwynedd Mercy University
The best thing to do is to try to gain skills working in a lab. There are lots of options for this. They could look to the industry or look to academic labs that might be looking for someone for a year. If a student needs to enhance their resume for acceptance into a program, the gap year can be used to take a graduate course or two to demonstrate they can handle that level of study. Students interested in a professional program where they are either required or recommended to have patient contact (PA programs, medical school) can look for those opportunities during a gap year, as well. The most important thing about a gap year is to do SOMETHING and have that something contribute to aiming for a future goal.
What type of skills will young senior bioinformatics scientists need?
Professor, University of Southern California
List of senior bioinformatics scientist skills to add to your resume
The most important skills for a senior bioinformatics scientist resume and required skills for a senior bioinformatics scientist to have include:
- Python
- Next-Generation Sequencing
- Data Analysis
- Visualization
- Computational Biology
- NGS
- C++
- Linux
- Cloud Computing
- Perl
- Statistical Analysis
- SQL
- Profiling
- RNA-seq
- Biomarkers
- Research Projects
- QC
- Analysis Tools
- Analytical Tools
- Pathway
- PCR
- TCGA
- Novel Algorithms
- Lims
- R
- Gene Expression Data
- Data Models
- Assay Development
- Confluence
- SNP
Updated January 8, 2025