Scientist, Bioinformatics Resume Sample
Leta Dicki
2085 Predovic Park,
San Francisco,
CA
+1 (555) 380 0652
Work Experience
Senior Scientist, Bioinformatics
09/2017
-
PRESENT
Philadelphia, PA
- Broadening knowledge and technical skills to increase the departments’ productivity
- Excellent cross-discipline communication and writing skills
- Experience with Linux/Unix including shell scripting
- Experience with Python and/or Perl
- Develop and support bioinformatic algorithms and databases of antibodies and other biologics
- Develop designs for biologic therapeutic screening and optimization strategies
- Analyze complex datasets and create tools to analyze and visualize results with a focus on sequence/structure and functional property relationships
- Working with internal colleagues to design and execute data analysis plans, and to summarize the actionable findings to support both exploratory research and new drug application activities
Scientist, Bioinformatics
01/2014
-
06/2017
Chicago, IL
- Curate and analyze complex clinical data, including but not limited to genomic data, protein assay data, cytokine, and chemokine data from patient samples, and develop novel predictive models using statistical techniques and machine learning to support patient stratification and biomarker selection in clinical trials
- Develop and validate the analysis workflow, software applications, and data warehouse to improve visualization, integration, and accessibility of complex clinical data
- Serve as an internal expert in machine learning, predictive modeling, and quantitative data analysis
- Proficient in at least one of following programming languages: Python, R, SAS, Matlab, JavaScript or SQL
- Extensive experience in machine learning, predictive modeling or deep learning is required
- Strategic thinker and outstanding team player with strong interpersonal and communication skills
- Ph.D. in statistics, mathematics, bioinformatics, computational biology, genomics, computer science or a related field with 5+ years of work experience
- Triage and dispatch issues requiring field support to Field Applications Scientists and Engineers
- Pursue leading systems and clinical immunology research towards key Celgene scientific objectives
Technical Support Scientist, Bioinformatics
10/2006
-
10/2013
San Francisco, CA
- Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide
- Provide analytical and data-processing services to Research department for the research and development of new products, including NGS, protein assays
- Defining the feature set for a biomarker discovery toolkit for QPS / Phenoptics tissue data
- Design and development of significant portions of this and subsequent related products
- Primary developer for case- and study-level tools for multiplexed biomarker analyses, primarily related to immuno-oncology and related applications
- Biomarker discovery in academic or pharmaceutical / biotech setting
- Experience in software development, data analysis, or advanced statistics analysis
- Collaborate with scientists from the I/O focus therapeutic area and clinical departments to design profiling experiments and draft data analysis plans
- Analyze of proprietary (clinical and preclinical) and public data to support Regeneron I/O targets and clinical pipeline; this including target identification, target advancement, biomarker discovery, toxicology studies, and clinical profiling data
Education
George Mason University - Prince William Campus
2001 - 2005
Science's Degree in Bioinformatics
Professional Skills
- Strong communication skills and ability to work across multiple business, scientific, and technical teams
- · Technical skills required
- Programming experience in at least one of the following: Perl, Python, or R is required
- Working experience with Excel and SQL Server
- Experience in analyzing NGS (RNA-seq and exome-seq) and single cell sequencing data
- Experience in analyzing cancer profiling data in public the domain such as TCGA
- Previous experience with variant calling (SNPs/indels) from next-generation sequencing data is highly desirable
How to write Scientist, Bioinformatics Resume
Scientist, Bioinformatics role is responsible for technical, software, training, integration, database, java, oncology, manufacturing, design, research.
To write great resume for scientist, bioinformatics job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Scientist, Bioinformatics Resume
The section contact information is important in your scientist, bioinformatics 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 Scientist, Bioinformatics Resume
The section work experience is an essential part of your scientist, bioinformatics 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 scientist, bioinformatics responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular scientist, bioinformatics position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Scientist, Bioinformatics resume experience can include:
- Demonstrated expertise in a scripting language (Perl or Python)
- Demonstrated expertise in statistical programming (R, SAS)
- Experience in next-generation sequencing analysis
- Previous experience with whole genome genotyping, GWAS or QTL studies is highly desirable
- Experience with task farming on compute clusters
- Ensure that good software engineering practices are followed in all development activities
Education on a Scientist, Bioinformatics Resume
Make sure to make education a priority on your scientist, bioinformatics resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your scientist, bioinformatics 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 Scientist, Bioinformatics Resume
When listing skills on your scientist, bioinformatics 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 scientist, bioinformatics skills:
- A strong publication record illustrating their above experiences
- Strong track-record of development and testing using Python
- Strong shell scripting abilities understanding of Linux (RHEL, Debian, Ubuntu etc.)
- Experience implementing pipelines and analyzing NGS data
- Strong track-record of development and testing using Python and Java
- Hands-on experience in scripting languages (python) and software development practices
List of Typical Experience For a Scientist, Bioinformatics Resume
1
Experience For Senior Scientist, Bioinformatics Resume
- Work with interdisciplinary team to prototype and implement functional and design specifications for IVDs
- Plan, test, and integrate new system components and prototype new functionality
- M.S. / Ph.D. in bioinformatics, computer science, computational biology, or a related discipline
- Willingness to work in a dynamic, fast-paced environment with emphasis on product development
- Develop, test, deploy, automate, and support NGS analysis pipelines
2
Experience For Senior. / Scientist, Bioinformatics Resume
- Contribute to end user applications that support visualization and statistical analysis
- Troubleshoot problems, address issues, and answer questions from internal users, collaborators, and customers
- Deploy computationally efficient cloud-based technologies to maximize pipeline efficiency
- Interact with a cross-functional team of data scientists, engineers, and biologists to determine requirements and functionality
- Produce insightful results that help achieve departmental research goals
- Benchmark the Genosity toolkit in various competitions and challenges
3
Experience For Principal Scientist, Bioinformatics Oncology Resume
- Work closely with the other staff to identify gaps in variant detection and annotation algorithms in current pipeline
- Maintain a high profile in the NGS and Bioinformatics community through publications, conference presentations and collaborations
- Contribute to NGS analysis pipeline and software development
List of Typical Skills For a Scientist, Bioinformatics Resume
1
Skills For Senior Scientist, Bioinformatics Resume
- Review, synthesize, and present scientific data and methods. Good written and verbal communication skills
- Experience with immune repertoire (VDJ) sequencing data
- Experience with advanced RNA or protein expression data, including single-cell
- Experience with any of the following: Common Workflow Language (CWL), AWS, Seven Bridges, Arvados, Matlab, docker, agile software development, git
- Experience with common biological sequence databases and formats
- Demonstrated expertise image analysis and data interpretation techniques
- Analyze and design the nucleotide sequences of mRNA therapeutics, including codon optimization, signaling and regulatory motifs, structural data, etc
2
Skills For Senior. / Scientist, Bioinformatics Resume
- Develop and apply new bioinformatics methods and data processing pipelines to solve the needs and challenges specific to developing mRNA therapeutics
- Implement and develop analysis pipelines using cutting-edge algorithms and statistically sound methodologies
- Python programming and proficiency in data analysis using Python and R
- Familiarity with the Ion Torrent sequencing tools (TMAP, Variant Caller)
- Proficient in SQL and programming languages: C#, Python, R or VBA
- Analyze NGS data for oncology applications while maintaining reproducibility
- Optimize and refactor scientific code utilizing Java/Python technology profile
- Rapid prototyping of novel algorithms
- Develop best practices for analysis of NGS data including optimization of parameters, and consensus approaches across various tools
3
Skills For Principal Scientist, Bioinformatics Oncology Resume
- Develop and or apply machine learning techniques to improve variant pathogencity prediction algorithms
- BS or MS in Bioinformatics, Computer Science, Engineering or a related field
- Proficiency in at least two major scripting languages (Perl/Python, R, Java, etc) and Unix/Linux shell
- Mine relevant publicly available and commercial data resources
- Contribute to scientific and strategy discussions to advance and enhance the scientific platform and product candidates
- Communicate findings internally and externally
- An understanding of how to apply algorithms to new problems as demonstrated by experience with a variety of computational biology techniques, software packages, and algorithms, especially for large ‘omics datasets (genomics, expression data, proteomics, phenotypic screens, and perhaps metabolomics)
- Solid knowledge of unix/linux
4
Skills For Research Scientist, Bioinformatics Resume
- Development of methods and algorithms to analyze NGS data, including cutting edge NGS
- Collaborate with colleagues to understand our customer’s questions about cancer, patients, and drugs, and develop data analysis strategies and plans to answer them
- Implement bioinformatics data integration and analysis pipelines in Pipeline Pilot and/or scripting languages, drawing on a large collection of high-throughput genomic data and sample annotations
- Develop visualization environments in Spotfire to enable scientists to explore the data and answer questions
- Has courage and confidence to take risks and learn from mistakes. Inspires, motivates and collaborates with others
- Proficient with full stack knowledge, tools, and online databases (open source software and R packages) related to data analysis such as gene expression, pathway identification, variants calling, copy number variation identification, structural variants identification, gene fusion, allele specific gene expression, novel transcript and etc
- Knowledge of forensic applications
- Ph.D. in Computer Science, Molecular Biology, Bioinformatics or equivalent discipline
5
Skills For Technical Support Scientist, Bioinformatics Resume
- Ph.D. in bioinformatics, statistics, computer science or related fields with 0-5 years of postdoctoral experiences in oncology or master’s with more than 7 years of relevant scientific experience
- Broad experience analyzing genomic, transcriptomic and proteomic data and in-depth knowledge of current technologies and bioinformatics algorithms
- Experience in statistical analysis or machine learning
- Proficient in R, Python, Perl, command-line UNIX/Linux, SQL
- Familiarity with revision control systems, preferably git
- Familiarity with data visualization software (R/Shiny, Tableau, Spotfire)
6
Skills For Principal Scientist, Bioinformatics IVD Resume
- Multitask, work independently and work in a fast-paced environment
- Ph.D. in computational biology or related discipline
- Experience of integrated data analysis required, for example across immune profiling (including flow cytometry, CyTOF), high-throughput sequencing, imaging, immunohistochemistry and/or clinical data
- Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, and a wide range of contemporary, open-source informatics tools and database structures in MS Windows, Linux & cloud computing environments
- Excellent communication and presentation skills; Team spirit and commitment to share and collaborate
- Experience developing tools for that purpose (Python, R, Spotfire, JMP)
7
Skills For Principal Scientist, Bioinformatics Resume
- Experience, preferably in Oncology
- Technical experience in R, Python, or Perl, command-line UNIX/Linux, SQL
- Relational database experience (MySQL, Oracle)
- Previous experience with analysis/annotation of plant and/or animal genomes is highly desirable
- Primer design experience highly desirable
8
Skills For Associate Scientist, Bioinformatics Resume
- Experience with oncology disease area highly desirable
- Professional bioinformatics development experience
- Experience in bioinformatics resources and tools such as BLAST, BWA, GATK, dbGaP, Clustalw, NCBI, EBI, Pfam, COG, GO, KEGG, etc
- Experience with workflow frameworks such as Nextflow
- Understanding of software architecture, development, and test production
- Thorough understanding of antibody/protein sequence and structure analysis is required
9
Skills For Principle Scientist, Bioinformatics Resume
- Expertise in data pipelines, analytics, and biomarker discovery
- An ability to create and develop new informatics tools is required
- Knowledge of molecular biology, bioinformatics or computational biology
- Aptitude for sequence data analysis
- PhD in bioinformatics, quantitative sciences, or other related disciplines
- Expertise in computational and Molecular Biology
10
Skills For Scientist, Bioinformatics Resume
- Proficient in R/MatLab and Python/Perl
- Experience in modeling (e.g., machine learning) and network building (e.g. gene regulation networks); Keen interest and determination to be at the cutting-edge of algorithms and model building
- Masters or Ph.D. in bioinformatics, molecular biology, statistics or related field
- Proficient in Linux/Unix work environment
- Expertise with comparative genomics tools (BLAST, multiple alignment, phylogenetic analysis)
- Development or improvement of algorithms for NGS-based diagnostics products for Somatic Oncology
- Document analysis procedures and results and present findings in meetings
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