Bioinformatics Scientist Resume Sample
Mohammad Torp
446 Gleichner Garden,
Houston,
TX
+1 (555) 943 3512
Work Experience
Senior Bioinformatics Scientist
05/2015
-
PRESENT
Phoenix, AZ
- Strong background in algorithms and software development
- Next Gen sequencing technology, tool usage, and data analysis
- Understanding & usage of biostatistics and bioinformatics algorithms
- Proficiency in programming in C, C++, C#, or Java
- Scripting experience with Python, R or Perl
- Innovates on new methods / processes to extract actionable insight from large genomic datasets and contribue to the launch of new products
- Develops machine learning and data-driven analyses to investigate the association between disease phenotypes and genetic variants from our microarray genotyping and NGS sequencing pipelines
Bioinformatics Scientist
09/2011
-
11/2014
Philadelphia, PA
- Sit for extended periods of time using computer equipment in normal office conditions
- Curate and manage large datasets, gather end user requirements
- Develop, optimize and apply pipelines and algorithms for processing and analyzing biological data
- Conduct independent data analysis and interpretation, and generate reports as per specifications
- Evaluate tools and coordinate efforts between the project teams and IT groups to define, validate and implement software for data management and analysis
- Work as a member of a team (with both outside and inside entities) to develop algorithms for analysis of NGS data
- Work with business development and product development teams to evaluate new opportunities in algorithm and/or software development related to RNA-seq NGS applications
Junior Bioinformatics Scientist, Sequencing
12/2006
-
07/2011
San Francisco, CA
- Collaborates and develops new tools with Engineering and Product Teams
- Designs computing strategy in a High-Performance Computing (HPC) environment for algorithm development and optimization; computes infrastructure for processing NGS data (local vs. Amazon cloud, etc.)
- Maintains currency with new technologies and advances in genomics
- Contributes research findings to abstracts and publications and presents at conferences
- Previous experience integrating human genomic and disease phenotypic data to predict associations between genetic variants and disease diagnoses
- Working knowledge of microarray genotyping and sequencing pipelines
- Fluent in modern advanced analytical tools and programming languages (e.g. Python, R, Ruby, etc.), databases (SQL) and experienced in cloud-based systems
- Previous practical experience implementing statistical principles and machine learning algorithms to large genomic datasets
- Strong verbal communication skills and ability to discuss data, modeling, and analytics with technical and non-technical audiences
Education
George Mason University - Prince William Campus
2000 - 2005
Science's Degree in Bioinformatics
Professional Skills
- Excellent organization and communication skills with an emphasis on strong presentation skills
- Software development skills and experience. Strong Perl and Python experience is needed
- Excellent presentation skills and experience providing software demonstrations and trainin
- Proven critical-thinking skills and demonstrated ability to manage and interpret large biological data sets
- Linux/Unix. Python. Next-Generation Sequencing data analysis experience. Strong analytical skills
- Strong interpersonal and demonstrated team work skills
- Strong linux skills and programming ability in at least one of the following: Python, C/C++, Java, R or Perl
How to write Bioinformatics Scientist Resume
Bioinformatics Scientist role is responsible for programming, software, perl, analysis, python, scientific, bioinformatics, organization, organizational, database.
To write great resume for bioinformatics scientist job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Bioinformatics Scientist Resume
The section contact information is important in your bioinformatics scientist 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 Scientist Resume
The section work experience is an essential part of your bioinformatics scientist 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 scientist 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 scientist position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Bioinformatics Scientist resume experience can include:
- Strong analytical and problem-solving skills, as well as organizational and time management skills
- Good communication skills. Ability to communicate effectively with scientists, engineers and software developers.Detail oriented and self-driven
- Excellent presentation skills and experience providing software demonstrations and training
- Excellent problem-solving skills and ability to learn quickly on the job
- Data analysis skills with proven track record in the interpretation of next-generation sequencing data
- Demonstrated problem-solving and data analytical skills
Education on a Bioinformatics Scientist Resume
Make sure to make education a priority on your bioinformatics scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your bioinformatics scientist 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 Scientist Resume
When listing skills on your bioinformatics scientist 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 scientist skills:
- Excellent interpersonal and communication skills; proven ability to work effectively within a team
- Excellent organization and communication skills with an emphasis on strong attention to details
- Effective communication skills, especially for presenting scientific results, keeping records and working collaboratively in a team are necessary
- Strong organizational, problem solving, and time-management skills
- Strong communication skills and a successful track record of collaborating with cross-functional scientific teams
- Demonstrated coding skills in R, Perl or Python, BASH, Java or C++, C# or similar
List of Typical Experience For a Bioinformatics Scientist Resume
1
Experience For Senior Bioinformatics Scientist Resume
- Good coding skills in R, Perl or Python and BASH
- PhD in Bioinformatics, Statistical Genetics, or Genome Science with experience in genotyping and/or genetics or equivalent experience
- Prior experience working in a CLIA lab environment
- Strong previous experience in bioinformatics in a clinical setting
- Communicates and solves problems effectively, has a track record in serving a variety of diverse customers and projects
- Is able to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities
- Skills in data analytics or data science, e.g. predictive modeling from clinical data
- Communicate effectively with collaborators
2
Experience For Associate Bioinformatics Scientist Clia Lab Software & Systems Resume
- Experience with building / supporting / using bioinformatics pipelines
- Experience in bioinformatics integration across genomics, proteomics, genotyping and sequencing data type
- Experience with Perl / Python or other scripting languages
- Experience with Next Generation Sequencing analysis and pipelines
- Experience in one and preferably two of the following: R, Perl, Python, C++
3
Experience For Post-doctoral Bioinformatics Scientist Resume
- Both new graduates and candidates already experienced in the analysis of high throughput sequencing data are encouraged to apply
- Work experience , preferably in a commercial biotechnology setting
- Experience with signal processing and time series analyses is highly desirable
- Experience in biological sequence analysis and next-generation sequencing data
- Experience developing under Design Control environment desirable
- Experience in Next Generation Sequencing (NGS)
- Experience in perl/python scripting
- Experience mining EHR data
4
Experience For Field Bioinformatics Scientist Resume
- Experience with meeting deadlines in a fast-paced environment
- Three years of current, relevant working experience is required
- Excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP, UCSC genome browser)
- Three years of relevant working experience is required
- Demonstrated ability to work with large data sets in pursuit of research goals, applying appropriate statistical and analytical methods
- Extensive experience working with both DNA and RNA data for immuno-oncology applications
- Work with the product development team to design, develop, and validate new products
- Experience in bioinformatics
5
Experience For Bioinformatics Scientist, Microbiome Resume
- Masters or PhD in Bioinformatics, Statistics, Computer Science, Biology or Genetics, with a strong background in applied genomic data analysis
- Experience with Laboratory Developed Tests (LDT) desirable
- Strong knowledge in algorithm development
- Experience with next-generation sequencing platforms and data
- Strong expertise working in a Linux/Unix environment
- Good understanding of software design and development cycle
- Excellent understanding of computer science fundamentals and algorithms
- Strong knowledge of bioinformatics tools and public databases, e.g. BLAST, NCBI, UCSC Genome browser, OMIM, COSMIC etc
6
Experience For Bioinformatics Scientist Clinical Services Lab Resume
- Write and execute test protocols to validate the features and data analysis pipelines
- Insure that good software engineering practices are followed in all development activities
- In-depth experience in tertiary analysis tools/algorithms/databases for sequencing data
- Good knowledge of best practices of clinical related reporting from NGS data
- PhD in Computational Biology, Bioinformatics or equivalent field; or Masters with >3 years of experience
- Good knowledge of public annotation and interpretation databases
- Good knowledge in genomics and/or statistics
- Design, implement, and validate novel algorithms, and provide written documentation
7
Experience For Field Bioinformatics Scientist Singapore Resume
- Deliver advanced bioinformatics and biostatistics analyses within nationally prioritised projects
- Hands-on experience with the relevant sequence analysis tools (e.g. Blast, Clustalw, bowtie, etc.)
- Stays current with biological databases, tools, and resources to help annotate and prioritize variants and genetic lesions
- Strong knowledge of biological entities and concepts to accelerate the research process
- Experience with genetic analysis (genomic sequencing, genotyping, epigenetics, and/or expression)
- Experience with DNA methylation is desired, but not required
- Providing critical analysis of and communicating project results
- Working with direct reports to ensure the completion of Bioinformatics’ deliverables with high quality and timeliness
- Representing WALTHAM through external presentations and peer-reviewed publications
8
Experience For Bioinformatics Scientist Genomics & Sequencing Resume
- Helping build our reputation within omics research
- Presenting data to outside groups or at national/international meetings
- Outstanding knowledge of public repositories of genetic, genomic, biological and drug data
- Advocating for specific collaboration requirements for continual advancement of shared pipeline and code resources
- Xperience with analyzing data from high throughput systems including next generation sequencing, microarray, highly-multiplexed PCR, and/or proteomic systems
- Contribute to refining existing SOP and defining new ones
- Harmonize pipelines and overall analysis and reporting strategies for CGI’s menu of next generation sequencing laboratory developed tests
- Support cutting-edge pipelines for the processing and analysis of high-throughput data
- Design statistical and machine-learning models for variant calling and interpretation
9
Experience For Clinical Bioinformatics Scientist Resume
- Provide support for existing analysis systems, including resolution of data retrieval requests
- Analyze high throughput sequencing or microarray functional genomics data according to protocols established in our group
- Write and execute test cases, responsible for updating defect-tracking records
- Expert in analyzing next generation sequencing data and/or microarray data
- A track record of contributing to biomedical projects using statistical and/or computational approaches
- Aptitude for learning and applying new methods
- Provide recommendations to improve overall workflow and handling of data using special purpose analysis tools and visualization packages
10
Experience For Assoc Bioinformatics Scientist Resume
- Proficiency with a scripting language such as Perl or Python is required
- Scientific background in RNA sequencing
- Data mining in Affymetrix’ proprietary database and public database
- Analysis of large datasets, including internal data and customers’ experimental results
- Proficiency in R, SQL, and a scripting language such as Python or Perl
List of Typical Skills For a Bioinformatics Scientist Resume
1
Skills For Senior Bioinformatics Scientist Resume
- Organized, detail oriented professional with strong working ethic and ability to effectively multitask
- Strong programming skills in R and Python
- Given the multi-disciplinary nature of the position, very strong collaboration and communication skills
- Excellent communication skills and a track record of successful collaboration with cross-functional teams
- Highly motivated, creative and self-assertive starter. Strong organizational and problem solving skills are required
- Excellent statistical analysis skills of high-throughput biological data, including RNA-seq or protein array
2
Skills For Associate Bioinformatics Scientist Clia Lab Software & Systems Resume
- Outstanding programming skills with two or more of the following languages: R, Python, Perl, Matlab, Java, C, and/or C++, and UNIX
- Outstanding English language communication skills are required, both spoken and written
- Programming experience in Java, Python or Perl and experience with databases and SQL highly desirable
- : Scientific programming experience or tool development experience in sequencing analysis or genotyping, Lynux or Shell scripting
- Experience with Algorithms development / Scientific computing. Hands-on experience in developing bioinformatics analysis methods/algorithms for sequencing data
- Proficiency with at least one of Perl or Python, including data format conversions and debugging skills, required
- Experience in design and development of scientific data processing pipelines and/or experience in providing support for production of software systems
- Additional required skills include test driven implementation, software versioning, developing scientific manuscripts and presentations
3
Skills For Post-doctoral Bioinformatics Scientist Resume
- >5 years of professional experience building model in complex arenas, including recent relevant experience
- Strong programming experience in at least one of the following languages, e.g.,Java/Python/C++ on a UNIX platform
- Professional experience building model in complex arenas, including recent relevant experience
- Quickly learn new programming skills
- Fluency in R, Perl, or Python is a prerequisite, and/or demonstrated Linux shell scripting experience
- Demonstrated experience of Next Generation Sequencing (NGS), genomics, and applications of relevant tools
- Demonstrated Linux shell scripting experience
- Effectively communicate with program leads and support staff in a demanding scientific environment
4
Skills For Field Bioinformatics Scientist Resume
- Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio
- Troubleshoot complex issues quickly and effectively
- Demonstrated experience with DNA and RNA alignment algorithms
- Effective prioritization among multiple projects
- Knowledge of basic statistics, and demonstrated experience of the applications
- Strong background and hand-on experience in genomic sequence analysis, NGS analysis, and pathway/network
- Benchmarking, validating and evaluating tertiary analysis pipelines
- Programming experience (e.g., perl, python)
- Training or research experience in genomics, population genetics or cancer
5
Skills For Bioinformatics Scientist, Microbiome Resume
- Training or research experience in genomics, population genetics, metagenomics or cancer
- Implementing a multi-tiered set of test cases for algorithm validation and integration tests against test plans, especially for bioinformatics
- Identifying opportunities to improve the bioinformatics user experience and implement solutions
- Programming experience with in C, C++, C#, or Java
- A good understanding of the biology behind genotyping, gene expression profiling, comparative genomics and genetic mapping
- Good understanding of the biology behind genotyping, gene expression profiling, comparative genomics and genetic mapping
- M.D. desirable, Ph.D. required, with clear track record and experience in utilizing and interpreting rich datasets in a pediatric setting
- Proficiency with programming/scripting languages such as Python, R, C++, Java. Demonstrated use of a database querying language such as SQL
- Experience working with one or more of the following programming languages, with proficiency in at least one of them: R, Python, Perl, Matlab, Java, C, C++
6
Skills For Bioinformatics Scientist Clinical Services Lab Resume
- A solid understanding of the relevant concepts in cancer biology and genetics, or in immunology. Enthusiasm for learning more
- Experience working and developing bioinformatics production systems
- Extensive experience working and developing bioinformatics production systems and assay design
- Experience in Perl / Python programming, shell scripting and SQL
- Demonstration of rapid prototyping experience, leading to development of production code that is robust, fast, and highly accurate
- Strong background in machine learning, statistical learning, and exploratory data analysis
- Experience with next-generation sequencing tools and techniques, statistics and bioinformatics, relational databases, and data mining
- Experience with mapping, variant calling and fusion detection algorithms
7
Skills For Field Bioinformatics Scientist Singapore Resume
- Demonstrated success supporting next-generation sequencing data analysis
- Extensive experience in bioinformatics integration across genomics, proteomics, genotyping and sequencing data type
- Experience with software development best practices, including source control versioning systems
- Good understanding of the genetics and molecular biology of microbes, especially fungi
- Demonstrate proficiency in using all required computer systems and databases
- Experience developing R/Shiny apps
- Experience working with Docker containers and cloud-based compute environments
- Unix/Linux OS experience and shell scripting
8
Skills For Bioinformatics Scientist Genomics & Sequencing Resume
- Experience in analysis of genomic data including RNA-seq, Single-cell RNA-seq, DNA-seq, and ChIP-seq
- The following are also required: hands-on experience with the relevant sequence analysis tools (e.g. Blast, Clustalw, bowtie, etc.)
- Experience with Linux, shell (e.g. Bash) scripting
- Experience with any of the following: Agile software development, git, AWS, Seven Bridges, Arvados, Matlab, Javascript, React-JS
- An excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP, UCSC genome browser)
- Experience with NGS, genomic sequencing & analysis, highly desired
- A demonstrated track record of developing computational methods and pipeline for genomic technology, translational research or biology discovery
- Hands-on experience by applying machine learnings
- Experience with high-performance Linux cluster and cloud computing
9
Skills For Clinical Bioinformatics Scientist Resume
- Assist in the development and validation of state of the art targeted sequencing assays for Oncology used in clinical and research settings worldwide
- Fluency with data analysis libraries such as pandas, matplotlib, sklearn, as well as some experience with scientific programming libraries
- Experience in bioinformatics. Proficiency with a scripting language such as Perl or Python is required
- Multi-task and shift priorities in a fast-paced environment
- Previous experience with genome assembly and annotation, especially fungi
- Previous experience in fungal biochemistry is highly desired
- Experience in bioinformatics, biostatistics, data collection and management procedures, and analytical tools and methods
- Working knowledge and understanding of algorithms, data structures, and scientific programming
10
Skills For Assoc Bioinformatics Scientist Resume
- Using standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan
- Programming and scripting in any of combination of Python, Perl, SQL, and/or R
- Working in the cloud or on a high-performance computing cluster
- Working with software testing team members to create automated test cases for secondary/tertiary analysis software components
- Developing, enhancing and QC annotation and interpretation methods
- Gathering, summarizing, and visualization of genomic or other types of biological data
- Prototyping methods / demonstrating ideas to solve scientific problems (Python, C++, C#)
- Maintaining and improving prototypes for analysis pipelines and clinical reports
List of Typical Responsibilities For a Bioinformatics Scientist Resume
1
Responsibilities For Senior Bioinformatics Scientist Resume
- Demonstrated analytical and problem-solving skills, as well as organizational and time management skills
- Proven statistical skills for data mining
- Strong communication and organization skills are needed
- Skills in writing editing and reviewing technical and scientific communications and documents
- Strong experience developing tools in programming languages such as Python, R, C++, Java, Perl, or Matlab
- Passionate about applying skills ingenomics analysis to utilize bioinformatics methods (e.g. from Bioconductor)to understand the biology ofdisease
- Effectively search and read primary literature and be knowledgeable with research tools, including website databases and instrumentation
2
Responsibilities For Associate Bioinformatics Scientist Clia Lab Software & Systems Resume
- Proven experience analyzing NGS data with a variety of tools and sample types
- Experience working with RNA-seq data, with demonstrated expertise through relevant publications
- Experience with good record keeping practices in bioinformatics (R Markdown, ipython)
- Effectively communicate findings to stakeholders
- Excellent knowledge and experience with state-of-the art bioinformatics tools and databases for the analysis of protein sequences and structures
- Work with the customer to effectively scope project initiatives and translate scientific needs into system functionality
- Self-starter who works effectively in an agile start-up environment
- Strong experience in statistics, data analysis and pipeline development
3
Responsibilities For Post-doctoral Bioinformatics Scientist Resume
- Strong programming experience in Java/Python/C++ on a UNIX platform
- Independent, well organized and collaborative with clear communication skills
- Experience developing, training, and evaluating deep-learning models using public DL frameworks, such as TensorFlow, Keras, PyTorch, Theano, Caffe, or Neon
- Experience in developing and implementing algorithms and pipelines for the processing of large datasets especially high-throughput sequencing data
- Experience in working in a UNIX/LINUX environment, and with at least one UNIX based scripting languages (Perl, Python etc.)
- Experience handling various sequence data, including SNP array, exome, chip-seq, RNA-seq, whole genome, etc
- Skill in presenting complex results, both verbally and in writing, to diverse bioinformatics and non-bioinformatics audiences
4
Responsibilities For Field Bioinformatics Scientist Resume
- Provide support for existing analysis systems, and for validation of new technology and new types of data
- BS (2+ years’ experience) in physics, mathematics, statistics, genetics, engineering, bioinformatics, computer science or a related field
- Previous experience in a research setting is desired
- Experience with analyzing error modes and actionable patterns in large-scale data sets
- Experience in design and execution of data processing pipelines
5
Responsibilities For Bioinformatics Scientist, Microbiome Resume
- Experience working with data sets generated by NGS and flow cytometry
- Demonstrated knowledge of analyzing NGS data
- Demonstrated knowledge of genomic data analysis, tools, and programming language(s)
- Significant experience working with proteomics data in a scientific research environment
- Experience working with high throughput single cell RNAseq data
- Strong working knowledge of database concepts
6
Responsibilities For Bioinformatics Scientist Clinical Services Lab Resume
- Experience programming in SQL and/or SAS
- Experience with AWS EC2/ELB/S3 or other cloud computing environments
- BS/MS in computer science, engineering, physics or equivalent combination of education/experience
- Knowledgable in HPC and/or cloud computing is strongly desired
- Strong proficiency in scripting languages such as Perl, BASH, etc
7
Responsibilities For Field Bioinformatics Scientist Singapore Resume
- Bioinformatics experience desired, but willing to train the right individual
- Development and validation of state of the art targeted sequencing assays for Oncology used in clinical and research settings worldwide
- Experience in a Linux HPC environment
- Experienced in algorithm/analysis implementation with a programming language, such as Python, C++, or Java
- Develop and write cutting-edge DNA Build algorithms. Design and develop algorithms for primer design, construct validation, and library construction strategies
- Strong genomics and genetics background required
- Strong ability to collaborate with teams of research scientists, bioinformaticians, software developers, and external collaborators
8
Responsibilities For Bioinformatics Scientist Genomics & Sequencing Resume
- Communicate with stakeholders to understand and prioritize what research/business questions to answer
- Demonstrated excellence processing and analyzing large NGS datasets
- Experience with development of data processing pipelines
- Extensive experience developing new software tools
- Linux/Unix. Python. Next-Generation Sequencing data analysis experience
9
Responsibilities For Clinical Bioinformatics Scientist Resume
- Delivers analytical endpoints such as feature identification, annotation, characterization, prioritization, etc
- Knowledge or experience working with Unix/Linux, Windows, Mac
- Excellent knowledge of molecular biology, genomics, genetics, and ability to communicate with to wet-lab scientists
- Experience in the analysis of single cell data, and/or build the pipelines and associated analysis tools for the single cell data analysis
- Experience with Singularity or other container-based platforms
10
Responsibilities For Assoc Bioinformatics Scientist Resume
- Experience with statistics and algorithm development
- Experience with publicly available data sources (such as dbGaP, TCGA, GDC, ENCODE, 1000 Genomes, gnomAD, TARGET, GTEX) and diverse genomic annotations
- Experience with MySQL/MS SQL Server or other relational databases
- Experience with RNA sequence and Methylation analysis
- Experience with molecular and population genetics
- Experience with Microbiome data
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