Bioinformatics Analyst Resume Sample
Evert Rempel
1378 Gottlieb Fork,
Chicago,
IL
+1 (555) 286 5374
Work Experience
Senior Bioinformatics Analyst
06/2015
-
PRESENT
Philadelphia, PA
- Reviews reports before presentation to ensure quality and accuracy
- Integrating computational methods to facilitate the acquisition and analysis of data from cell and tissue images generated on multiple platforms including light and confocal microscopy fluorescence imaging (multiplexed), whole slide scanning
- Facilitating the accumulation and maintenance of biological data including developing applications that process this information into searchable databases for purposes of analysis, calculation, and presentation
- Specifying performance requirements to subcontractors for software scripts used in acquiring images and advises departmental scientists in same
- Independently performing research of moderate level problems under the review of a scientist or higher-level analyst
- New assignments, program goals, and objectives are reviewed with the supervisor and are carried out with minimal direct supervision
- Unusual matters or procedural problems are resolved in consultation with a higher level analyst or supervisor
- Maintains a professional level of knowledge of molecular biology and genetics to properly analyze molecular genetic test results
- Understands Next Generation Sequencing (NGS) principles and results in the context of molecular diagnostics to analyze NGS data. Independently provides troubleshooting feedback to wet lab for NGS data and creates clinical NGS reports
Bioinformatics Analyst
07/2009
-
02/2015
Philadelphia, PA
- Deep knowledge of modern techniques in bioinformatics and/or biostatistics, including in identifying the role of pathways and their components in large, complex biological and clinical data sets
- Experience in computational biology, including at least 2 years of hands-on work experience (either in an academic environment or in industry), including experience with biological data analysis tools and databases (e.g., dbGAP, GTeX, GEO, Ensembl, GO, NCBI, 1000 Genomes, ENCODE)
- Coding skills in at least one relevant scripting language (Python, R, Matlab, etc.)
- Understanding of biological and/or medical experimental design methodology, and ability to assess the strength of evidence supporting a scientific finding; experience in evaluating medical clinical trial data is desired
- Track record of effective collaboration in a cross-functional environment with people of diverse backgrounds
- Responsible for providing collaborative bioinformatics support to the investigators at the National Cancer Institute (NCI)
- Responsible for the analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms
- Contributes to a team effort in designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput data
Genome Bioinformatics Analyst
02/2003
-
06/2009
Phoenix, AZ
- Mining publicly available biological data to generate novel hypotheses or insights
- Presenting analysis results, in a clear and concise manner, to an audience not familiar with bioinformatics
- Work effectively as a member of a team; coordinate activities among other groups located at the Bethesda, Frederick, Rockville and Gaithersburg NCI campuses; follow sound scientific practices and maintain effective documentation of activities and analyses
- Abilities to estimate time for various projects and to keep accurate records of work performed are essential
- With some oversight, perform high-quality analysis of large datasets to identify trends and associated factors of clinical disease
- Assist in interpretation of analyzed data including development of novel analysis methodology and visualizations
- Prepare data in suitable format for dissemination
Education
George Mason University - Prince William Campus
1998 - 2003
Bachelor's Degree in Bioinformatics
Professional Skills
- Demonstrated problem-solving skills, independence, high motivation, and excellent communication skills, both orally and written
- Solid communication skills (both verbal and written) and organizational skills are essential, as is the ability to be creative in problem-solving situations
- Lead a team of 3-5 senior analysts effectively, with strong interpersonal skills and ability to plan and execute complex projects
- Strong programming skills, preferably including Python
- Excellent interpersonal and writing skills to communicate and document user interactions and requirements
- Excellent written and oral communication skills, including the ability to communicate technical concepts to a non-technical audience
- Excellent communication and leadership skills are essential
How to write Bioinformatics Analyst Resume
Bioinformatics Analyst role is responsible for programming, software, languages, scripting, python, interpersonal, research, java, maintenance, training.
To write great resume for bioinformatics analyst job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Bioinformatics Analyst Resume
The section contact information is important in your bioinformatics analyst 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 Analyst Resume
The section work experience is an essential part of your bioinformatics analyst 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 analyst 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 analyst position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Bioinformatics Analyst resume experience can include:
- Strong programming skills (Python, Perl, MatLab)
- Strong communications skills and track record of collaboration
- Proven experience deploying tools for genomic data analysis, integration and visualization
- Work independently, prioritize, and manage people if needed, within an environment with evolving priorities
- Analytical, comparative and critical thinking skills
- Prior experience working with large-scale datasets using high performance computing environments is desirable
Education on a Bioinformatics Analyst Resume
Make sure to make education a priority on your bioinformatics analyst resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your bioinformatics analyst 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 Analyst Resume
When listing skills on your bioinformatics analyst 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 analyst skills:
- Strong interpersonal skills and excellent communication skills, both verbal and written, are required
- Excellent communication and effective problem-solving skills, track record in serving a variety of diverse customers and projects
- Strong analytical skills and the ability to identify problems and perform independent problem-solving
- Effectively prioritizes and triages work streams
- Outstanding interpersonal skills and ability to work with individuals and groups
- Work independently, prioritize, and manage people if needed, within an environment with ever changing priorities
List of Typical Experience For a Bioinformatics Analyst Resume
1
Experience For Senior Bioinformatics Analyst Resume
- Work effectively as a member of a team, following sound scientific practices and maintain effective documentation of activities and analysis
- Working knowledge, and demonstrated experience, of phylogenetic reconstruction methods and programs
- Experience in analysis of large multi-dimensional genomics datasets. - Experience working in an HPC environment
- Skills in statistical analysis required
- Maintaining experience with state-of-the-art bioinformatics tools and data repositories
2
Experience For Bioinformatics Analyst, Imaging / HCA Resume
- Two to three years of relevant work experience in analyzing next generation sequencing data from projects involving RNA-seq, ChIP-seq, and/or variant analysis
- A few years of experience using molecular biology, automated liquid handling, or software
- Experience with designing and optimizing Database schemas in Sql Server or Oracle
- : Scientific programming or tool development experience in sequence analysis or genotyping
- Strong desire for further understanding
- Experienced in bioinformatics tools for a variety of sequencing protocols, e.g. DNAseq, RNAseq, Chip-Seq
3
Experience For Genome Bioinformatics Analyst Resume
- Demonstrated ability in working with commercial software
- Two years of experience in scientific programming with applications to biological research
- Experience with one or more high throughput analysis pipelines such as ChIPSeq, RNASeq, ExomeSeq, scRNASeq, microarray analysis, imaging analysis etc
- Experience with genomics data analysis required (PLINK, Samtools, GATK, ANNOVAR, Tophat, STAR, Bioconductor)
- Operate in a Linux environment to run bioinformatics tools and access/store data
- Balance and prioritize work assignments so as to make progress on multiple tasks/projects at the same time
- Experience with the data analysis stack of python (scipy, numpy, pandas, cobrapy)
- Experience with manipulation and visualization of genome, metagenome and/or NGS datasets
4
Experience For Biostatistics / Bioinformatics Analyst Resume
- Intermediate 3-5 years of experience (Level II)
- Advanced 5+ years of experience (Level III)
- Designing, developing and maintaining complex bioinformatics pipelines to support the analysis of high-throughput data
- Harmonizing and maintaining diverse data with associated metadata
- Programming Languages and Frameworks: Perl, Python, Shell Scripting
- Understanding of molecular biology, microbiology, genetics, or relevant field
- Working from customer requirements, deliver timely and accurate analysis results
5
Experience For Bioinformatics Analyst Resume
- Assists and advises scientific and administrative departments in evaluating, developing, implementing, and integrating complex Web-based applications
- Performs data analysis, including next generation sequencing (NGS) or microarray data sets, using the appropriate workflows, algorithms and statistical methods
- Execution of Adaptive’s production QC processes for qualifying reagents and sequencing instruments, and troubleshooting of results as the need arises
- Implements analytics pipeline using scripting and coding
- Provide appropriate training and instruction to junior lab staff for initial signal processing and machine learning projects
6
Experience For Senior Bioinformatics Analyst Resume
- Perform data mining and synthesis activities using various internal resources, public databases and publications
- Develop pipelines for the analysis of viral and microbial genetic and structural variation using data from long read sequencing platforms
- Develop tools for analyzing viral and host RNA sequence data from single cell sequencing
- Writes and documents code that assists in process automation, data sharing between systems, and metric reporting
- Support of assay and data tracking and trending related to assay health
- Able to rapidly investigate questions arising in the processing of production data
- Analyze single cell RNA-seq data and generate clustering analyses for normal and cancer cells using dimensionality reduction techniques like tSNE, PCA, or NMF
- Evaluate other experimental data generated in our labs (e.g. CRISPR screens, drug synergy experiments) by adapting existing pipelines and algorithms
- A record of taking the initiative to solve problems and working to high-quality standards
7
Experience For Bioinformatics Analyst, Imaging / HCA Resume
- Statistical knowledge and programming using R or related tools, database query through SQL and ability to prototype software solutions for data analysis
- : Data mining or machine learning
- Familiarity with high-dimensional, biological data analysis: processing, analysis and interpretation of microarray and next-generation sequencing data
- A desire to learn and apply new technologies according to the changing needs of the project and organization
- Assist research teams to develop new methodologies and tools for analysis, and/or to define improvements for existing systems and tools
- Participate and contribute to multiple ongoing projects as a member of large-scale, multi-member project teams
8
Experience For Genome Bioinformatics Analyst Resume
- Participate in community outreach and training
- Proficiencies in word processing, spreadsheet, database software, power point, statistics and other software use in scientific research analysis are required
- Contributes to publications by generating figures, tables, and text; accurately illustrate methods & results
- Analysis and interpretation of high-through genomic data generated by microarray and next-generation sequencing platforms
- GWAS analytical tasks including data QC, imputation, population structure analysis, association analyses
- Collaborates with technical staff explaining needs of functional users. Serve on committees related to data structure and governance
9
Experience For Biostatistics / Bioinformatics Analyst Resume
- Proficiency in statistical analysis and at least one scripting language (R, Perl, Python, etc.) is required
- Ensure LIMS communicates with Labmatrix, Soft Path and CRIS system working with CCR IT, CBIIT, and CC Electronics Medical Records department
- Provide expertise in the biological interpretation of results, including mutation impact assessment, expression analysis,
- Participates in the selection and testing, and oversees the installation of new software
- Expert in one, and proficient in multiple high level programming languages, such as Python, R, Ruby, and/or Java
- Independently performing HPV-related research informatics under the review of the Director of Research and Director of the Cancer Genomics Research Laboratory,
- Identification, testing, optimization and implementation of new informatic applications that support DCEG and CGR research and HPV research efforts,
- Independent experimental design and execution, analysis and interpretation of results, and mapping out follow up work, and
10
Experience For Bioinformatics Analyst Resume
- Communication of results and interpretation to a diverse audience, including senior CGR scientists, DCEG collaborators, and internal stakeholders
- Learn from and teach others towards expanding our collective knowledge and productivity
- Enjoy customer service and explaining concepts to a variety of audiences
- Penchant for teaching concepts in an open and collaborative environment
- Generates own code to conduct various other statistical analyses including those to discover relationships between cancer alterations and clinical correlates
- Assists in generating wikis and data portals to disseminate results to the DFCI and general scientific community
- Assists in drafting of scientific manuscripts
List of Typical Skills For a Bioinformatics Analyst Resume
1
Skills For Senior Bioinformatics Analyst Resume
- Communicates and solves problems effectively, has a track record in serving a variety of diverse customers and projects and of leading small teams
- Deep bioinformatics skills, at the interface between bioinformatics programming and understanding of biological and clinical problems
- Communicates clearly and effectively regarding analysis requirements and results
- Demonstrated experience with genomic data QC/QA, assembly, annotation, or other analysis
- Work effectively in a team‐oriented environment
- Communicate effectively with other team members in our group and community, present and publish impactful research
- Programming experience with at least one high-performance statistical computing software (e.g. R, Python, MATLAB, Julia)
- Beginning 1-3 years experience (Level I)
- Understanding and experience in creating platforms for pathologist sign out of genomic data
2
Skills For Bioinformatics Analyst, Imaging / HCA Resume
- Understanding and experience for multiple bioinformatics options and setups for clinical genomics
- Experience evaluating and comparing different computational pipelines for alignment, variant calling, and functional annotation
- Experience with analyzing data from genome-wide association studies, and genotyping by sequencing technologies
- Experience with analyzing data from RNA sequencing, including and de-novo transcriptome assembly
- At least one year of hands-on practical experience in developing machine learning applications, particularly deep learning applications
3
Skills For Genome Bioinformatics Analyst Resume
- Experience in project requirement gathering, design, planning and execution, and defining appropriate experimental design
- Experience in predictive modeling, machine learning, and data mining
- Experience optimizing SQL queries and writing PL/SQL packages
- Experienced in developing graphical user interfaces using ASPX and modern JavaScript frameworks
- Experience in at least two of the following areas: Methylation profiling, ChIPSeq, RNASeq, ExomeSeq, DHS-Seq, microarray analysis
4
Skills For Biostatistics / Bioinformatics Analyst Resume
- Experience developing and integrating REST or SOAP web services
- Good understanding of Next Generation Sequencing Data Analysis
- Demonstrated proficiency with at least two of the following: Perl, Python, R, C++, shell scripting
- Demonstrated proficiency with bioinformatics software for nucleic acid assembly, alignment, and statistical analysis, including building pipelines
- Experience analyzing data from next generation and 3rd generation nucleic acid sequencing technologies
- Experience with analyzing data from metagenomics or microbiome sequencing studies
- Experience with building or maintaining SQL databases
- Analyst Levels for years of experience in programming, software engineering, bioinformatics and web administration
5
Skills For Bioinformatics Analyst Resume
- Experience designing and implementing reproducible analysis workflows
- Experience with High Performance Computing (HPC), Linux Operating System
- Experience writing and applying analysis scripts (Python, Perl, etc.) in a Linux/UNIX environment
- Experience working in healthcare domain, working with EMR/Clinical databases and warehouses
- Experience developing database applications, backend and web-based applications, user interfaces, and programing interfaces
- Experience with designing and optimizing Database schemas
- Experience developing and integrating REST or SOAP web services
6
Skills For Senior Bioinformatics Analyst Resume
- One year experience in scientific programming with applications to biological research
- Experience in analytics and data mining techniques
- Information tracking experience for data with complex structures
- Excellent understanding of biology and biomedicine
- RDBMS Experience – Database programming, maintenance, deployments – Especially Oracle
- Experience working with .Net application servers like IIS
- Demonstrated ability in working with open source bioinformatics software and publically available databases
- Strong organizational techniques, including the ability to handle a variety of tasks in a fast-paced environment
7
Skills For Bioinformatics Analyst, Imaging / HCA Resume
- Experience with solving genomics and/or proteomics data integration and analysis problems
- Experience with Python, R, and Bash scripting in a Unix environment
- Experience using standard bioinformatics NGS variant annotation tools (e.g. SNPeff, AnnoVAR, etc.)
- Experience in working with various annotation resources (e.g., dbNSFP, HGMD, GenomeTrax)
- Experience writing SQL queries and store procedures
- Experience developing backend and web applications in .Net or Java
- Experience working with EPIC or other EMR systems
- Maintain, develop, and support Good Start Genetics’ next generation sequencing analysis pipeline and associated test codebase
- Maintain detailed documentation of pipeline runs and validation/benchmarking projects, in accordance with CLIA standards
8
Skills For Genome Bioinformatics Analyst Resume
- Experience with most of the following is required
- Experience in statistical analysis of complex biological data
- Hands-on experience with commercial and open-source bioinformatics and genomics analysis software (e.g. muTect, VarScan, VarDict, DESeq2)
- Experience with NGS Datasets (Especially Ion Torrent)
- Strong knowledge of molecular biology, microbiology, genetics, and/or infectious disease research and their relationship to genomics
9
Skills For Biostatistics / Bioinformatics Analyst Resume
- Desire, motivation and proven ability to work in multidisciplinary teams and within a fast-paced environment
- Programming experience with Shell, Python, Perl, C/C++, and/or JAVA
- Experience with one or more high throughput analysis pipelines such as, metagenomics, ChIPSeq, RNASeq, ExomeSeq, microarray analysis
- Experience in multi-omic data integration and complex data visualization
- Experience developing backend and web applications in .Net or Java
- Experience writing SQL queries and PL/SQL stored procedures
10
Skills For Bioinformatics Analyst Resume
- Experience participating in all software development lifecycle phases
- Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology
- Relevant experience in computational biology
- Experience in research in cancer genomics and large-scale sequencing projects
- Experience in creating clinical grade databases for gene annotation for cancer on a large scale
- Experience and knowledge of different sequencing platforms, such as Illumina, Ion Torrent (Thermo Fisher)
- Experience in single-cell genomic and transcriptomic sequencing technologies and data analyses
List of Typical Responsibilities For a Bioinformatics Analyst Resume
1
Responsibilities For Senior Bioinformatics Analyst Resume
- Ability and experience in designing and creating bioinformatics pipelines for cancer genomics
- Ability and experience in creating and optimizing computational framework for clinical genomics
- Experience contributing to multiple ongoing projects as a member of large-scale, multi-member project teams
- Experience with programming in Python and R and familiarity with MATLAB, Java, C++, Perl, web-development, and database query through SQL
- Two years experience in scientific programming with applications to biological research
- BS/MS in life sciences, bioinformatics, computational biology, physical sciences or equivalent experience
- Meeting and consulting scientists requiring bioinformatics support and designing plans and solutions
- Evaluating and benchmarking new software tools and pipeline development
- Programming Languages and Frameworks: Java, Perl, PL/SQL, Python, SAS
2
Responsibilities For Bioinformatics Analyst, Imaging / HCA Resume
- Working knowledge of NGS analysis pipelines for Exome-Seq and RNA-Seq
- Analytical: Critical thinking, Data mining, Data modeling, Troubleshooting
- Studies of resistance to existing and emerging cancer therapies using patient-derived data
- Develop automation in capturing and creating data, reports, and summaries from electronic clinical and research records and databases
- Support the development of data processing and analysis pipelines for Next Generation Sequencing data
- Work with data sharing through existing TARGET infrastructure and potentially through program specific web sites
- Develop other bioinformatic pipelines for processing genomic data such as ChIP-seq, DNAse-seq, single-cell sequencing, etc
- Able to create and reuse modular code, and identify candidates for encapsulation, modularization and reuse by analyzing existing artifacts
- Work together with experimental biologists to design experiments and analyze resulting data
3
Responsibilities For Genome Bioinformatics Analyst Resume
- Work independently and as a team member to analyze data, developing software tools and analytical pipelines where necessary
- Computational analysis and troubleshooting for the production laboratory
- Able to develop reusable scripts to address commonly arising issues
- Able to trend data and identify process aberrations through analysis of trending metrics
- Exercises critical thinking and independent scientific and statistical judgment
- Characterize chromatin states and transcriptional states of cells during normal development and oncogenesis, for example from RNAseq and ChIPseq data
- Performs custom bioinformatics and statistical analyses involving genomic and transcriptomics data
- Assists with developing new software tools and writes code for specific analyses
4
Responsibilities For Biostatistics / Bioinformatics Analyst Resume
- Follow established protocols for running transcriptomics analyses, microbiome-related analyses, and other -omics analyses as needed
- Engage in limited scripting (e.g. shell, Perl, Python) to perform basic tasks
- Travel to conferences/meetings/workshops as required for specific projects and/or training opportunities
- Develop tools to automate the primary analysis of NGS sequence data, including amplicon, genome, metagenome, and metatranscriptome projects
- Infrastructure (extends across applications): Linux Operating System
5
Responsibilities For Bioinformatics Analyst Resume
- Infrastructure: Linux Operating System
- Maintain a familiarity with next generation sequencing and microarrays
- Proficiency in programming languages such as R, Python, Perl, MATLAB, Java is required
- Infrastructure (extends across applications): Windows Operating System
- CITI Human Subjects protection training
- Background in applied statistics and data mining
- Proficiency in Unix/Linux scripting
- Proficiency in programming languages such as PERL, Python, R, Java
6
Responsibilities For Senior Bioinformatics Analyst Resume
- Knowledge of working in a cluster and/or cloud environment
- Analysis of genomic data and formatting for use by other analysts or scientists
- Manages and plans for data/analysis requests and projects
- Development of HMMER and Infernal’s command line interfaces, output formats, and interfaces to other tools (such as Galaxy, Bioconductor, BioPython, BioPerl)
- Clearly communicate with multidisciplinary scientific staff in a fast-paced environment
- PhD in Bioinformatics, Statistics, Genetics, Computer Science, or related discipline
- Provides consultation to customers on appropriate data management, methodological issues and statistical analyses
7
Responsibilities For Bioinformatics Analyst, Imaging / HCA Resume
- Partner with subject matter experts (SME’s), managers, and technical leads to translate business requirements to technical specifications, and user stories for implementation
- Configure and maintain Clarity LIMS that tracks progress of clinical samples through wet-bench and computational protocols working with wet lab and bioinformatics team
- Ensure LIMS system is updated with existing SOPs both wet lab and bioinformatics
- Ensure LIMS system launches pipeline
- Ensure that LIMS keeps track of reagents
- Ensure BCL to FASTQ conversion is completed by pipeline
- Ensure all FASTQ is transferred to long term storage, TGen servers and Biowulf
- Ensure that level 3 data is backed up in long term storage
- Participate in weekly meetings
8
Responsibilities For Genome Bioinformatics Analyst Resume
- Monitor Labmatrix, and genomics LIMS entries for all patients
- Extend development of tools to identify and analyze large microbial and viral genomes
- Develop high-throughput analysis of SNP frequencies and linkage to viral infection in microbial genomes
- Assess patterns of natural variation in structured microbial/viral populations and communities
- Work with experimentalists to generate computational approaches to address key research questions in the lab
- Aid in the development of visualization tools and databases to communicate results to clinicians and collaborators
9
Responsibilities For Biostatistics / Bioinformatics Analyst Resume
- Provides consultation to team members on appropriate data management, methodological issues and statistical analyses
- Collaborates with research staff on data analysis
- Statistics support and prioritization of identified loci/genes lists, classification model building and determining correlation with clinical data derived from patients
- Assists faculty and scientific staff with experimental design and data acquisition
- Performs analyses of scientific data and provides interpretations to investigators
- Designs, modifies, and enhances custom databases
- Develops data analysis options and charge rates in collaboration with center director
- Research and solve genomics and/or proteomics data integration and analysis problems
- Develops complex web applications based on lab/department requirements
10
Responsibilities For Bioinformatics Analyst Resume
- Develops web and client-based software tools which facilitate organization of, access to, and utilization of this data
- Diagnoses and resolves complex software problems
- Coordination with numerous technical and administrative resources required for development of new analytic methodologies related to the Research HPV group’s goals and projects,
- Operating independently in a rapidly changing environment of next-generation sequencing and genotyping technologies and handling the recognition, research, resolution and follow up for routine and complex problems,
- Analyze large-scale biomedical data such as whole-exome and whole-genome sequencing, single-cell and bulk RNASeq data, functional genomic, metabolomic and other multi-dimensional datasets
- Utilize, develop and deploy computational tools for the exploration and integration of complex datasets
- Conceive, implement and test statistical models
- Troubleshoot and contribute to custom software in order to enable high throughput molecular biology pipelines
- Contribute to analyzing data from high throughput molecular biology pipelines and work with software developers, biologists, and automation engineers to make the pipelines even more efficient and high quality
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