Bioinformatics Programmer Resume Sample
Work Experience
- Work with scientific staff to provide customized solutions for a broad variety of biological experiments in the areas of immunology and infectious diseases, analyze Next Gen sequencing data, write programs and statistical applications
- Perform nucleic acid isolation, fragmentation, target labeling for use on Affymetrix commercial and custom chips
- Work with DNA and RNA isolation reagents and kits and perform work on collaborating projects
- Carrying out data analysis on RNA-seq projects
- Communicating and providing results to researchers using the core
- Provide bioinformatic support during sequencing QC
- Support research efforts of labs utilizing next generation sequencing technologies
- Become an expert in various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing)
- Perform robust data quality control and validation
- Design, implement, execute standard pipelines for routine genomics data analyses, and customized pipelines for collaborative research projects
- Adapt genomic data analysis pipelines in a rapidly evolving research environment
- Integrate different types of genomics data and prepare concise presentations of computational results
- Work closely with bench scientists to understand and help accomplish their research goals
- Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing)
- Develop novel methods for multi-omics data analysis and integration
- Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, microbial phylogeny and microbial ecology)
- Work independently while collaborating and assisting the team in its common research goals
- Attention to detail and ability to work on multiple projects is necessary
- Experience in Unix/Linux systems including HPC environments
- Experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq)
- Experience creating customized sequencing analysis pipelines
- Excellent communication skills with proficiency in written and oral English
- Communication and Relationship to Other Staff
- Maintain confidentiality of all research information
Education
Professional Skills
- Strong organizational and interpersonal skills for working in a multidiscipline and collaborative team
- Demonstrated programming skills in Java, Python, R with the ability to work comfortably in a Linux environment
- Demonstrated working project management skills
- Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills
- Strong programming skills in web application development with PHP, HTML/CSS, javascript/jQuery and relational database (MySQL or others)
- Strong programming skills in R and Perl
- Basic consultation and strong communication skills
How to write Bioinformatics Programmer Resume
Bioinformatics Programmer role is responsible for programming, database, advanced, web, english, linux, reporting, training, integration, security.
To write great resume for bioinformatics programmer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Bioinformatics Programmer Resume
The section contact information is important in your bioinformatics programmer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Bioinformatics Programmer Resume
The section work experience is an essential part of your bioinformatics programmer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous bioinformatics programmer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular bioinformatics programmer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Bioinformatics Programmer resume experience can include:
- Experience analyzing data on the order of tens of thousands of records. Strong database and big data structure design and querying
- Experience with ETL tools, data mapping, and validation (informatica or equivalent)
- Strong knowledge of statistics and experience working with large genomics datasets
- Demonstrated experience in virtual machines and designing and creating web applications in HTML, CSS, and JavaScript
- Knowledge/experience in a specified computing environment and operating systems, including Unix and Linux
- Experience with Illumina sequencing data, genetic variant calling, variant analysis, annotation, and filtering
Education on a Bioinformatics Programmer Resume
Make sure to make education a priority on your bioinformatics programmer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your bioinformatics programmer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Bioinformatics Programmer Resume
When listing skills on your bioinformatics programmer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical bioinformatics programmer skills:
- Lead a team, meet deadlines and demonstrate advanced problem solving skills. Experience to troubleshoot and problem solve in computational work
- Proven ability to work effectively in a collaborative team environment
- Solid research skills at a level to evaluate alternate solutions and develop recommendations
- Very strong English communication skills
- Demonstrated experience creating ETL scripts or writing specifications for ETL. Use of ETL tools such as Talend or Informatica are desired
- Experience analyzing data on the order of tens of billions of records. Strong database and big data structure design and querying
List of Typical Experience For a Bioinformatics Programmer Resume
Experience For Senior Bioinformatics Programmer Resume
- One year of experience with handling bioinformatics tools and programming in R or related languages
- Implement systems for tracking, analyzing, and reporting on sequencing center operations
- Make code changes following software development best practices such as source control, regression testing, and code reviews
- Be responsible for data processing from Center’s high throughput sequencing lab (Illumina and PacBio platforms)
- Work with other internal and external groups to streamline processes related to sample submission, processing, billing, and data management
- Maintain a professional working relationship with all staff and clients
- Create new websites to enhance sequencing center operations
- Design, develop, and manage bioinformatics pipelines for Next-Generation Sequencing data from various platforms and propose methods to streamline data analysis
Experience For Lead Bioinformatics Programmer Resume
- AWS, Unix/Linux OS and shell scripting, Python, java, c++, Rstudio, Zepplin, Jupyter, iPython, Hadoop, Spark, Hive, AWS Redshift, RedHat, CentOS, Obuntu Linux
- Basic knowledge of applications programming, web development and data structures
- Python, R, Unix/Linux OS and shell scripting, and associated libraries
- Applies existing custom bioinformatics software to both well- defined and novel genome analysis problems
- Uses and customizes statistical graphing tools to visualize NGS data
- Examples of past projects that involved collaborating with a team of programmers
- Applies existing custom bioinformatics software to both well-defined and novel genome analysis problems
Experience For Bioinformatics Programmer Analyst Resume
- Uses and customizes statistical graphing tools to visualize sequence data
- Motivated, self-starting, detailed-oriented, organized
- Next-Gen Sequencing analysis tools (e.g., BWA, vcftools, BEDtools, bamUtils, SAMtools, Picard)
- Knowledge of Perl, HTML, CGI, C++, relation databases and SQL. Programming in a UNIX/LINUX environment
- Proficiency in scripting languages such as Python, Perl, Bash, and R
- Next-Gen Sequencing tools (SAMtools,BWA,etc)
- Familiarity with at least one programming language, e.g. JAVA or Python. Knowledge of SQL
- Communicate professionally and precisely with staff and clients
Experience For Bioinformatics Programmer Resume
- Analysis of biological datasets and client interaction
- Expertise with Python and R
- Regularly update the LIMS Ruby on Rails application
- Communicate the data processing results to researchers in a helpful and timely fashion, and provide answers to technical questions through 1-on-1 communication and written documentation
- Troubleshoot poor quality data arising from biological issues or analysis artifacts
- Write scripts for liquid handling robotic devices
Experience For Senior Bioinformatics Programmer Resume
- Work with colleagues in the lab to analyze the whole genome, exome, RNA seq data and assess data quality
- Working knowledge of applications programming and web development. Demonstrated programming skills in C/C++, Python, R with the ability to work comfortably in a Linux environment
- Working project management skills. Demonstrated ability to work independently, exercise good judgment, solve problems, organize work and set priorities to meet deadlines despite frequent interruptions, shifting schedules and deadlines
- Demonstrated experience in standard medical terminologies such as ICD-9, RxNorm, SNOMED-CT, CPT, and LOINC
- Demonstrated ability to work comfortably in cloud computing environments, such as Amazon Web Resources
- Experience with high performance clusters
- Understanding of whole genome sequencing and short-reads sequencing technology and applications
- Advanced understanding of relational databases, web interfaces and operating systems
Experience For Lead Bioinformatics Programmer Resume
- Applies existing custom bioinformatics software to both well- defined and moderately complex omics data analysis problems
- In-depth knowledge of bioinformatics methods, applications programming, web development and data structures
- In-depth knowledge of bioinformatics programming design, modification and implementation
- Meets with users to discuss requirements
- Designs, codes, tests, and debugs programs
- Creates necessary test data and tests programs
Experience For Bioinformatics Programmer Analyst Resume
- Designs, codes, tests, debugs, and maintains programs and research software for omics data analysis applications
- Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds
- In-depth knowledge of modern biology and applicable field of research
- Systems administration with UNIX/Linux
- Learn about genetics
Experience For Bioinformatics Programmer Resume
- Proficient in Python and/or R
- Previous Exposure to Linux/Unix systems
- Basic knowledge of modern biology at the college level
- Practical skills in probability and statistics, for example, experimental design, linear regression, variance analysis, and predictive modeling/machine learning
- Basic knowledge of modern biology and applicable field of research
- Basic knowledge in the development of bioinformatics tools as well as biological sciences in the field of genomics or computational biology
Experience For Senior Bioinformatics Programmer Resume
- Knowledge in algorithm development for genome assembly
- Experience with network security (for example deploying authentication systems, or applying cryptography to network applications), experience with host security (for example, passwords, uids/gids, file permissions, file system integrity, use of security packages)
- In-depth knowledge of bioinformatics methods and data structures
- In-depth knowledge of genomics and modern cancer biology. and applicable field of research
- Advanced interpersonal skills in order to work with both technical and non-technical personnel at all levels in the organization, including senior project leadership
- Thorough knowledge of bioinformatics methods and data structures
Experience For Lead Bioinformatics Programmer Resume
- Thorough knowledge of genomics and cancer biology
- Knowledge of statistics and ability to work with large genomics datasets
- In-depth knowledge of bioinformatics methods, applications programming, web development and data structures. Proven experience with common bioinformatics pipelines, technology, stacks and computing/delivery platforms (preferably RNA-seq protocols, Python scientific stack, Docker/BaseSpace). Experience with mark-up languages such as HTML or XML
- Strong knowledge in area of expertise with an understanding and advanced ability to independently analyze a needs requirement, develop, and implement systems for complex applications. Skill to plan and carry out projects to completion in a time sensitive environment
- Demonstrated in-depth knowledge of bioinformatics programming design, modification and implementation. Expert knowledge and research experience with next generation sequencing data analysis
- Proven experience with scripting language such as Python or Perl. Experience with software development full life cycle, architecture, design, object-orientation, documentation, continuous integration and deployment
- Advanced understanding of relational databases, web interfaces and operating systems. Expertise in scientific programming. Proven record of producing and delivering well-designed scientific software in an industrial or academic environment
- Advanced project management skills. Excellent organizational skills. Ability to manage a large volume of work efficiently and meet deadlines with frequent interruptions and changing priorities
- Demonstrated ability to develop, organize, and track projects and coordinate complex activities requiring a high level of accuracy and meticulous attention to detail
List of Typical Skills For a Bioinformatics Programmer Resume
Skills For Senior Bioinformatics Programmer Resume
- Intellectually curious with innovative and creative problem-solving skills
- Demonstrated experience in software development or testing
- Experience with multiple database management systems; Demonstrated ability to work on multiple tasks
- Experience with database management systems; Demonstrated ability to work on multiple tasks
- Demonstrated web application development experience in Unix/Linux environment
- Demonstrated experience with pipeline and workflow development
Skills For Lead Bioinformatics Programmer Resume
- Programming experience in a UNIX/LINUX environment
- Demonstrated independent thinking and problem solving ability
- : Experience performing bioinformatics programming and data analysis
- Good understanding of statistical techniques for differential expression, clustering, classification, and gene set enrichment analysis
- Experience with C++ and programming using UNIX/LINUX cluster
- Experience with Unix/Linux environment including basic commands and shell scripting
- Good understanding of statistical techniques for differential expression, clustering, and gene set enrichment analysis
- Experience with large genomic data sets (Next-generation sequence, genotyping, or expression data), data mining, and data analysis
- Experience with machine learning and/or artificial intelligence programming
Skills For Bioinformatics Programmer Analyst Resume
- Experience with R, python, C/C++, Java, html, PHP, SQL programming
- Solid understanding of human subjects research regulations and the application of HIPAA for human subjects’ research and healthcare quality improvement
- Experience writing queries, functions, scripts and procedures with SQL and PL/SQL
- Experience with more than one type of biological or health data (e.g. RNASeq, genetic sequences, proteomics, imaging, etc.)
- Demonstrated working knowledge of bioinformatics methods and data structures
Skills For Bioinformatics Programmer Resume
- Strong eorking knowledge of modern biology and applicable field of research
- Experience with programing languages such as R, Python, MATLAB or SQL
- At least three years of programming experience in MATLAB, Java, C++, or Python within scientific research context
- Linux background with at least 1 years hands-on experience working on Unix/Linux terminal
- Experience in working with different widely used genomic analysis pipelines
- Perl, Ruby, or other scripting development experience
- Experience with UNIX and cluster computing
- Hands-on experience working on Linux or Unix-based systems from the command line
Skills For Senior Bioinformatics Programmer Resume
- Programming experience with Python or Java
- Strong knowledge of modern biology at the college level
- Proficient in Python or R, with preference given to those skilled in both languages
- Experience with cloud computing (i.e., AWS)
- Experience with Mass Spectrometry or MS data analysis
- Two to four years relevant work experience
- Proven ability to design, develop, debug, profile, and parallelize software
- Solid knowledge of Linux and other UNIX-based systems
Skills For Lead Bioinformatics Programmer Resume
- Solid knowledge of Python and C/C++
- At-scale NGSC experience
- Experience with cloud deployment (e.g. Amazon AWS)
- Experience with Perl, HTML, CGI, relation databases and SQL
- Experience in NGS data analysis with application to human cancer studies
- Experience with NexGen data and metagenomic analyses
- Communicate ideas, problems, and suggestions in a timely and effective manner
- Demonstrate knowledge of the organizations core values
Skills For Bioinformatics Programmer Analyst Resume
- Understanding of whole genome sequencing, genome assembly, and short-reads sequencing technology and application
- Tracking project data and reporting analysis results
- Working knowledge of next generation sequencing (NGS) methodologies and applications
- Working knowledge of bioinformatics methods, applications programming, web development and data structures
- Understanding of relational databases, NoSQL and document stores, web interfaces and operating systems
- Working knowledge of next generation sequencing (NGS) methodologies and tools (e.g. Bowtie, Star, Bedtools)
- Programming in Python or R
- Programming logic. Knowledge of relational databases and SQL
Skills For Bioinformatics Programmer Resume
- Ongoing development of metabolomics analysis software
- Basic understanding of next generation sequencing, transcriptome profiling, and proteome profiling technologies and data derived from these technologies
- Examples of past projects that involved designing, programming, and documenting software
- Proactively providing data analysis support to multiple metagenomic sequencing projects
- General understanding of relational databases, NoSQL and document stores, web interfaces and operating systems
- Proficient with Linux/Unix systems, including using command line tools
- Knowledge of technologies such as but not limited to sequencing and micrroarrays currently being used for genomic data acquisition and analysis
Skills For Senior Bioinformatics Programmer Resume
- Support routine NGSI production tasks: storage management, pipeline troubleshooting, monitoring cluster health
- Support development and testing of software developed by NGSI used in running NGS pipelines
- LIMS, Hadoop, HiSeq X, NGS Variant Calling, At-Scale Production, Software Engineering
- Occasionally stand/walk, writing by hand
- Initiation/implementation, troubleshooting, and maintenance of analysis software in support of microbial ecology studies
- Collaboration with the software engineering groups to define software requirements
- Researches, assesses, imports, configures, and customizes existing bioinformatics software
- Provides technical guidance, work direction and training to other lab members on NGS data analysis
Skills For Lead Bioinformatics Programmer Resume
- Proficient at Python, Perl, or R programming
- Background in biological data processing, especially in human genetics
- Background working with epigenetics datasets
- Basic understanding of molecular genetic principles
- Investigate ETL pipeline and data querying performance and process failures and work to improve them
List of Typical Responsibilities For a Bioinformatics Programmer Resume
Responsibilities For Senior Bioinformatics Programmer Resume
- Strong project management skills. Ability to implement change through influence and collaboration
- Demonstrated ability to work in a Unix environment. Proven knowledge of web, application and data security concepts and methods
- Strong experience with the design, development, and maintenance of data collections used for data storage and analysis in a biomedical research environment
- Show evidence, in publicly visible projects, of experience on research bioinformatics and/or computational biology projects
- Solid background and experience using statistical approaches to analyze large data sets
- Knowledge of analyzing single cell RNAseq data
- Basic knowledge of applications programming and web development
- Experience in glycoinformatics; mass-spectrometry, proteomics, and glycoproteomics data analysis; semantic web technologies and ontologies; bioinformatics portals and data resources; and computer algorithms and data-structures for graphs and trees
Responsibilities For Lead Bioinformatics Programmer Resume
- High-performance and cloud computing and related DevOps skills
- Thorough knowledge of bioinformatics methods (R, Unix, Perl, Python, Java, Matlab, C, C++), applications programming, web development and data structures
- Basic knowledge about the principles single-cell analysis
- Understanding of relational databases, web interfaces, and operating systems. Experience working with electronic medical records or other health related databases, ability to organize data
- Specific health informatics expertise using electronic medical records to pull, manage, analyze, and interpret data on various drugs, patient populations, and costs implications
Responsibilities For Bioinformatics Programmer Analyst Resume
- Strong skill to communicate complex information in a clear and concise manner both verbally and in writing
- Thorough knowledge of computational methods and approaches, including prior experience with algorithms, data analysis, applied mathematics, probability and statistics
- Experience programming/scripting skills using scientific languages and computing/statistical packages such as Python and numpy, pandas, scikit, etc. Strong oral and written communication skills
- Experience with a variety of bioinformatics tools/applications and genomic databases
- Experience in the field of computational biology, bioinformatics or clinical informatics
- Ability and willingness to learn, use, and teach others to use complex image analysis software and scientific equipment
- Thorough knowledge of advanced statistical methods and data visualization techniques
Responsibilities For Bioinformatics Programmer Resume
- Basic knowledge of bioinformatics methods and data structures
- Basic knowledge of application and data security concepts
- Performs in-depth sequence analyses on large genomic datasets
- Researches, assesses, imports, configures, and customizes third- party bioinformatics software
- Integrates database support for custom analytical tools for R&D and clinical environments
Responsibilities For Senior Bioinformatics Programmer Resume
- Designs, codes, tests, debug, and maintain programs and research software for genome sequence analysis applications
- Support routine NGSI production efforts
- Work with NGSI Production team to innovate
- Work with NGSI production team to innovate improvements to NGS pipelines
- Coordination of data flow with a wide variety of external scientific collaborators
Responsibilities For Lead Bioinformatics Programmer Resume
- Plan and organize detailed projects with multiple tasks and deadline
- Designs, codes, tests, debugs, and maintains programs and workflows for NGS data analysis
- Applies bioinformatics tools and workflows to both well-defined and complex NGS data analysis problems
- Generates data in the right format that can be used for downstream pathway and network analysis and proteogenomic data integration
- Prepares detailed documentations for implemented tools and workflows
- Designs, codes, tests, debugs, and maintains scripts and pipelines for retrieving data from various biological and biomedical databases based on project requirements
Responsibilities For Bioinformatics Programmer Analyst Resume
- Designs, codes, tests, debugs, and maintains scripts and pipelines for processing data to the proper format or structure for downstream analysis or uploading to databases
- Performs basic differential expression, clustering, and gene set enrichment analysis
- Prepares detailed documentations for implemented scripts and pipelines
- Familiarity with data visualization tools (e.g. D3.js, Vega, Google Charts, etc.)
- Learn new technologies at a fast pace
- Knowledge of Perl, HTML, CGI, C++, relation databases and SQL
- Common genomics data formats in genomics (e.g., FASTQ, BAM, VCF)
Responsibilities For Bioinformatics Programmer Resume
- NGS pipeline development 6. Database and Big Data software (NoSQL, Hadoop, Hbase)
- Statistical and visualization software (Spotfire, R, SAS)
- Structural variation detection methods
- Familiarity with regular expression
- Familiarity with common bioinformatics resources such as NCBI databases, Ensembl, KEGG, GO, USCS genome browser, etc
- Common NGS data formats (FASTQ,BAM,VCF)
- Broad knowledge of biology, especially microbial ecology and/or genetics
Responsibilities For Senior Bioinformatics Programmer Resume
- NGS sequence analysis tools (e.g., BWA, Samtools, bedtools, bamUtils, Picard, GATK,vcftools,bcftools)
- Common genomics data formats (e.g., FASTQ, BAM, VCF, BED)
- Database and big data software (e.g. NoSQL, Hadoop, HBase)
- Statistical and visualization software (e.g. R, SAS)
- Familiarity with XML,BASH,Python
- Scientific and Operational
- NGS pipeline development
- Working knowledge of application and data security concepts. Experience with host security (for example, passwords, uids/gids, file permissions, file system integrity, use of security packages). Demonstrated ability to maintain high level of confidentiality in handling files and data and clear understanding of the Universities data privacy and acceptable use policies and procedures