Bioinformatics analyst job description
Updated March 14, 2024
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Example bioinformatics analyst requirements on a job description
Bioinformatics analyst requirements can be divided into technical requirements and required soft skills. The lists below show the most common requirements included in bioinformatics analyst job postings.
Sample bioinformatics analyst requirements
- Bachelor's degree in Bioinformatics, Computer Science, or a related field.
- 3+ years of experience as a Bioinformatics Analyst.
- Proficiency working with genomic datasets.
- Strong understanding of bioinformatics software and languages.
- Knowledge of data management best practices.
Sample required bioinformatics analyst soft skills
- Strong problem-solving abilities.
- Excellent communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Highly organized and detail-oriented.
Bioinformatics analyst job description example 1
Shape Therapeutics bioinformatics analyst job description
Shape TX ® is pioneering the field of programmable RNA medicines to repair the genetic causes of diseases. By merging innovations in AI and RNA technology to generate and analyze hundreds of billions of therapeutic possibilities, ShapeTX is developing breakthroughs in RNA editing, next-generation AAVs, and disruptive gene therapy manufacturing. The ShapeTX platform enables pharma innovators to design treatments across a wide range of diseases, including rare genetic disorders as well as debilitating conditions, such as Alzheimer's, Parkinson's, and many more. You can find us at shapetx.com and on LinkedIn and Twitter.
At Shape TX , we are a dynamic team of professionals who are dedicated and passionate about making cures a reality. Through diversity of thought, scientific knowledge, professional rigor and focus we are merging cutting-edge science with extensive drug development expertise to unlock cures to many debilitating diseases.
Shape Therapeutics is headquartered in Seattle, Washington with a satellite site in Boston, Massachusetts.
ShapeTX is looking for an enthusiastic, collaborative and highly motivated Bioinformatics Software Engineer to join our fast-growing Analytics and Informatics team. The successful candidate will have the unique opportunity to work closely with other experimental and computational scientists to help establish, implement, and refine our next-generation processing and analytical pipelines to enable the discovery and development of the next generation of gene therapies for treating serious human diseases.
Roles and Responsibilities
Help develop, test, optimize, and execute bioinformatic pipelines to process and streamline internally- and externally-generated next-generation sequencing data Collaborate with experimental and computational biologists to better understand experimental design and processing nuances to help establish and improve accuracy of analytical pipelines Responsible for software design, coding, testing, debugging, and documentation of bioinformatic pipelines using clean, well-structured code Participate in code reviews to ensure code quality and distribute knowledge
Qualifications and Requirements
Master's or bachelor's degree in computer science, computational biology, bioinformatics, or related field with proven bioinformatics expertise. Proficiency in Python and Unix programming and workflow/pipeline development using contemporary, open-source bioinformatics tools and databases, and collaborative development skills using version control systems (e.g. Git). Experience with software engineering best practices (e.g. CI/CD, testing, design). Proficiency working in cloud development environments (e.g. AWS), batch computing (e.g. Batch), and containerization (e.g. Docker) preferred. Familiarity using pipeline tools such as Nextflow or Snakemake a plus. Proven problem-solving skills, attention to detail, and collaborative nature. Ability to work effectively in a fast-paced and dynamic start-up environment.
If the notion of developing and optimizing novel informatics pipelines to help build an end-to-end gene therapy solution for millions suffering worldwide from rare genetic disorders motivates you like it does us, we're very excited to have you join us!
We aspire to Shape Life! not only through our science, but also through our commitment to foster an inclusive environment that supports diverse perspectives and experiences.
At Shape TX , we are a dynamic team of professionals who are dedicated and passionate about making cures a reality. Through diversity of thought, scientific knowledge, professional rigor and focus we are merging cutting-edge science with extensive drug development expertise to unlock cures to many debilitating diseases.
Shape Therapeutics is headquartered in Seattle, Washington with a satellite site in Boston, Massachusetts.
ShapeTX is looking for an enthusiastic, collaborative and highly motivated Bioinformatics Software Engineer to join our fast-growing Analytics and Informatics team. The successful candidate will have the unique opportunity to work closely with other experimental and computational scientists to help establish, implement, and refine our next-generation processing and analytical pipelines to enable the discovery and development of the next generation of gene therapies for treating serious human diseases.
Roles and Responsibilities
Help develop, test, optimize, and execute bioinformatic pipelines to process and streamline internally- and externally-generated next-generation sequencing data Collaborate with experimental and computational biologists to better understand experimental design and processing nuances to help establish and improve accuracy of analytical pipelines Responsible for software design, coding, testing, debugging, and documentation of bioinformatic pipelines using clean, well-structured code Participate in code reviews to ensure code quality and distribute knowledge
Qualifications and Requirements
Master's or bachelor's degree in computer science, computational biology, bioinformatics, or related field with proven bioinformatics expertise. Proficiency in Python and Unix programming and workflow/pipeline development using contemporary, open-source bioinformatics tools and databases, and collaborative development skills using version control systems (e.g. Git). Experience with software engineering best practices (e.g. CI/CD, testing, design). Proficiency working in cloud development environments (e.g. AWS), batch computing (e.g. Batch), and containerization (e.g. Docker) preferred. Familiarity using pipeline tools such as Nextflow or Snakemake a plus. Proven problem-solving skills, attention to detail, and collaborative nature. Ability to work effectively in a fast-paced and dynamic start-up environment.
If the notion of developing and optimizing novel informatics pipelines to help build an end-to-end gene therapy solution for millions suffering worldwide from rare genetic disorders motivates you like it does us, we're very excited to have you join us!
We aspire to Shape Life! not only through our science, but also through our commitment to foster an inclusive environment that supports diverse perspectives and experiences.
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Bioinformatics analyst job description example 2
The Wistar Institute bioinformatics analyst job description
The Wistar Institute has current openings for Bioinformatics Analysts to join the Bioinformatics Shared Resource of our NCI-designated Cancer Center. The Bioinformatics Core provides Wistar investigators with expertise in computational analyses of biomedical research data as well as database management and software applications support.
The Bioinformatics Analyst will:
Apply and develop bioinformatics approaches for analysis of data from high-throughput experiments conducted by Wistar Institute scientists, including but not limited to bulk and single cell next generation sequencing and other various types of genomics and proteomics data. Design, implement, and evaluate new bioinformatics programs to extend the services and capabilities of the facility. Develop and implement application for management, analysis and representation of different types of data, including interface implementations of scientific algorithms and to write comprehensive reports. Execute special projects as assigned and attend project meetings as appropriate.
Master's degree in Bioinformatics/Mathematical/Physical/Computational Sciences or related fields, or equivalent combination of education and experience, is required. PhD preferred. Experience in programming languages (e.g. Python or Perl) and experience in R or Matlab statistical environments is required.
A minimum of one-year prior experience in Bioinformatics data analysis and scientific software development for high throughput data (next generation sequencing, proteomics, other platforms) is preferred. The ideal candidate will have experience with single cell data analysis. Relational database development and website integration knowledge is also a plus.
The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. Research discoveries conducted at Wistar have led to the development of vaccines; the identification of genes associated with cancers; and the development of many other significant research technologies and tools.
We offer a competitive salary and an excellent benefits package.
For more information about The Wistar Institute visit our website at www.wistar.org.
It is the policy of the Institute to provide equal employment opportunities to all individuals regardless of race,citizenship, ethnicity, color, creed, religion, marital status, national origin, ancestry, sex, age,veteran status, mental or physical disability (including HIV and AIDS), pregnancy, caregiverstatus, domestic or sexual violence victim status, sexual orientation, gender identity andexpression, or on the basis of genetic information, or any other characteristic protected byfederal, state, or local law, with respect to all terms and conditions of employment.
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The Bioinformatics Analyst will:
Apply and develop bioinformatics approaches for analysis of data from high-throughput experiments conducted by Wistar Institute scientists, including but not limited to bulk and single cell next generation sequencing and other various types of genomics and proteomics data. Design, implement, and evaluate new bioinformatics programs to extend the services and capabilities of the facility. Develop and implement application for management, analysis and representation of different types of data, including interface implementations of scientific algorithms and to write comprehensive reports. Execute special projects as assigned and attend project meetings as appropriate.
Master's degree in Bioinformatics/Mathematical/Physical/Computational Sciences or related fields, or equivalent combination of education and experience, is required. PhD preferred. Experience in programming languages (e.g. Python or Perl) and experience in R or Matlab statistical environments is required.
A minimum of one-year prior experience in Bioinformatics data analysis and scientific software development for high throughput data (next generation sequencing, proteomics, other platforms) is preferred. The ideal candidate will have experience with single cell data analysis. Relational database development and website integration knowledge is also a plus.
The Wistar Institute is located in the University City area of Philadelphia, in the heart of the University of Pennsylvania Campus. Wistar provides resources to its faculty and staff that enable them to conduct cutting edge collaborative research and provides for outstanding intellectual environments and state-of-the-art facilities. Research discoveries conducted at Wistar have led to the development of vaccines; the identification of genes associated with cancers; and the development of many other significant research technologies and tools.
We offer a competitive salary and an excellent benefits package.
For more information about The Wistar Institute visit our website at www.wistar.org.
It is the policy of the Institute to provide equal employment opportunities to all individuals regardless of race,citizenship, ethnicity, color, creed, religion, marital status, national origin, ancestry, sex, age,veteran status, mental or physical disability (including HIV and AIDS), pregnancy, caregiverstatus, domestic or sexual violence victim status, sexual orientation, gender identity andexpression, or on the basis of genetic information, or any other characteristic protected byfederal, state, or local law, with respect to all terms and conditions of employment.
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Bioinformatics analyst job description example 3
Baylor College of Medicine bioinformatics analyst job description
The lab of Dr. Kyle Eagen (www.eagenlab.org) at Baylor College of Medicine focuses on elucidating how DNA folds within cells and how DNA misfolding relates to human disease.Baylor College of Medicine, one of the top ranked medical schools in the country, is well known for its exceptional, innovative, and collaborative research environment. Dr. Eagen's lab applies state-of-the-art computational strategies to contribute significantly to biomedical research while fostering career development. The lab is located in the Texas Medical Center, the largest biomedical complex in the world, immediately adjacent to Houston's vibrant Museum District and Hermann Park.
A Bioinformatics Analyst position is available immediately in the laboratory of Dr. Kyle Eagen. The individual will identify and implement computational solutions to research problems related to genome 3D structure in health and disease. They will be responsible for taking on highly interdisciplinary projects and critical functions in this endeavor, including applying state-of-the-art open-source software for basic and advanced analysis of next-generation sequencing data with an emphasis on high-throughput chromosome conformation capture (Hi-C) data. They will also analyze epigenetics and transcriptomic datasets. In addition, they will work closely with Dr. Eagen to expand their skill set and develop cutting-edge computational tools while having opportunities to present research findings at conferences and network with colleagues.
The ideal candidate will be highly motivated, well organized, manage time effectively, and can work independently as well as part of a team. They will obtain fundamental, career-building exposure in bioinformatics, computational biology, and biostatistics as they develop scripts in languages such as Python and R while using Linux/Unix and high-performance computing (HPC) to analyze genomics data.
Apply their advanced skillset to manage, plan for, and analyze genomics data: Maintain and expand upon existing computational infrastructure for Hi-C, ChIP-seq, CUT&RUN, and RNA-seq Interpret results by applying and/or developing appropriate statistical and/or machine learning analysis for Hi-C, ChIP-seq, CUT&RUN, and RNA-seq Collaborate with wet lab scientists to interpret and refine Hi-C, ChIP-seq, CUT&RUN, and RNA-seq analysis, including statistical tests Develop novel computational and visualization tools to further the analysis and interpretation of Hi-C data Administrative Prepare reports, charts, and graphs for presentations and publications Maintain detailed records of computational code and analyses Manage next-generation DNA sequencing data Search and evaluate scientific literature in support of research projects Co-author scientific papers Effectively interact with team members to make important contributions on big problems while ensuring a high standard of scientific rigor
Minimum Qualifications
Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. No experience required
Preferred Qualifications
Master's degree in a related field Demonstrated experience in: Infrastructure: Linux Operating System and PBS or SLURM cluster-based computing Programming Languages: Python, Shell Scripting, R Analytical: critical thinking, data modeling, problem solving, troubleshooting Demonstrated ability working with open-source bioinformatics software Experience analyzing RNA-Seq, ChIP-Seq and/or Hi-C data A record of taking initiative to solve problems and working to high-quality standards Attention to detail and accurate record keeping Ability to multitask, work and learn independently, and be self-motivated
Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
13057
SN; CA
A Bioinformatics Analyst position is available immediately in the laboratory of Dr. Kyle Eagen. The individual will identify and implement computational solutions to research problems related to genome 3D structure in health and disease. They will be responsible for taking on highly interdisciplinary projects and critical functions in this endeavor, including applying state-of-the-art open-source software for basic and advanced analysis of next-generation sequencing data with an emphasis on high-throughput chromosome conformation capture (Hi-C) data. They will also analyze epigenetics and transcriptomic datasets. In addition, they will work closely with Dr. Eagen to expand their skill set and develop cutting-edge computational tools while having opportunities to present research findings at conferences and network with colleagues.
The ideal candidate will be highly motivated, well organized, manage time effectively, and can work independently as well as part of a team. They will obtain fundamental, career-building exposure in bioinformatics, computational biology, and biostatistics as they develop scripts in languages such as Python and R while using Linux/Unix and high-performance computing (HPC) to analyze genomics data.
Apply their advanced skillset to manage, plan for, and analyze genomics data: Maintain and expand upon existing computational infrastructure for Hi-C, ChIP-seq, CUT&RUN, and RNA-seq Interpret results by applying and/or developing appropriate statistical and/or machine learning analysis for Hi-C, ChIP-seq, CUT&RUN, and RNA-seq Collaborate with wet lab scientists to interpret and refine Hi-C, ChIP-seq, CUT&RUN, and RNA-seq analysis, including statistical tests Develop novel computational and visualization tools to further the analysis and interpretation of Hi-C data Administrative Prepare reports, charts, and graphs for presentations and publications Maintain detailed records of computational code and analyses Manage next-generation DNA sequencing data Search and evaluate scientific literature in support of research projects Co-author scientific papers Effectively interact with team members to make important contributions on big problems while ensuring a high standard of scientific rigor
Minimum Qualifications
Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. No experience required
Preferred Qualifications
Master's degree in a related field Demonstrated experience in: Infrastructure: Linux Operating System and PBS or SLURM cluster-based computing Programming Languages: Python, Shell Scripting, R Analytical: critical thinking, data modeling, problem solving, troubleshooting Demonstrated ability working with open-source bioinformatics software Experience analyzing RNA-Seq, ChIP-Seq and/or Hi-C data A record of taking initiative to solve problems and working to high-quality standards Attention to detail and accurate record keeping Ability to multitask, work and learn independently, and be self-motivated
Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
13057
SN; CA
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Updated March 14, 2024
Updated March 14, 2024