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Bioinformatics In Jobs in Tennessee (NOW HIRING)

Honorhealth

$84K - $104K/yr

This role combines deep expertise in computational biology with strong software engineering and organizational leadership to design, implement, govern, and scale bioinformatics platforms that support ...

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What We Look For In a Genetics Tutor * Advanced Subject Mastery: Deep knowledge of Mendelian ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

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Bioinformatics In information

What is the difference between Bioinformatics In vs Bioinformatics Analyst?

AspectBioinformatics InBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsBachelor's or Master's in Bioinformatics, Computer Science, or related fields
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare, biotech companies
Employer & Industry UsageUsed in research, development, and clinical settingsFocuses on data analysis, interpretation, and reporting

Bioinformatics In and Bioinformatics Analyst roles share similar educational backgrounds and work environments. However, Bioinformatics In often involves more research and development tasks, while Bioinformatics Analysts primarily focus on analyzing and interpreting biological data to support research and clinical decisions.

What are the key skills and qualifications needed to thrive as a Bioinformatics Intern, and why are they important?

To thrive as a Bioinformatics Intern, you need a foundation in biology and computer science, often supported by coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, and experience with bioinformatics tools such as BLAST, Galaxy, or Next-Generation Sequencing (NGS) analysis platforms are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and collaborate with research teams. These skills are crucial for accurate data analysis, meaningful scientific contributions, and successful teamwork in fast-evolving research environments.

What are bioinformatics scientists?

Bioinformatics scientists are professionals who use computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They work at the intersection of biology, computer science, and mathematics to support research in areas like genomics, drug discovery, and personalized medicine. Their work often involves developing algorithms, managing large datasets, and creating software to facilitate biological research.

How does a Bioinformatics professional typically collaborate with researchers and laboratory scientists on projects?

Bioinformatics professionals often work closely with researchers and laboratory scientists to interpret complex biological data, such as sequencing results or gene expression profiles. Collaboration involves understanding the scientific goals, designing computational analyses, and translating data into meaningful insights. Regular meetings, clear communication, and iterative feedback are common, ensuring that computational work aligns with experimental needs. This teamwork helps bridge the gap between raw data and actionable scientific discoveries.
What cities in Tennessee are hiring for Bioinformatics In jobs? Cities in Tennessee with the most Bioinformatics In job openings:
Bioinformatics In jobs near you
Bioinformatics Analyst, Senior

Bioinformatics Analyst, Senior

Vanderbilt University

Nashville, TN • On-site

Full-time

Re-posted 11 days ago

Vanderbilt University rating

7.8

Company rating: 7.8 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities

Job description


The Senior Bioinformatics Analyst is part of the Creative Data Solutions (CDS) Shared Resource at Vanderbilt University and serves as a senior-level contributor responsible for leading bioinformatics analyses of genomic data sets, developing and implementing advanced transcriptomic statistical models, and directing research studies. This position requires that the ideal candidate will have extensive experience in analyzing large-scale genomic and transcriptomic data, including next-generation sequencing data, and deep expertise in statistical analysis methods involved with such data. The candidate should demonstrate leadership capabilities, mentor junior team members, and possess exceptional communication and problem-solving skills. Reporting directly to the Director of CDS, the Senior Bioinformatics Analyst will lead collaborations with investigators throughout the Vanderbilt community on multiple complex projects simultaneously.
About the Work Unit:
Creative Data Solutions (CDS), a Vanderbilt University Shared Resource, provides informatics and bioinformatics services to investigators in the fields of academic and clinical research, with an emphasis on life sciences. CDS blends modern data science approaches with robust software and database engineering to provide practical solutions to problems and challenges faced by research investigators in a timely and cost-effective fashion.
Key Functions and Expected Performance:
  • Acts as a specialist in the analysis and interpretation of large-scale genomic and transcriptomic data sets using advanced bioinformatics tools and methods. Modalities include both bulk and single-cell RNA-Seq, DNA-Seq, chromatin binding analysis (CUT&RUN, ChIP-Seq, ATAC-Seq, etc.), spatial transcriptomics (10X Visium/HD, Nanopore GeoMX), and ad hoc bioinformatics.
  • Designs and develop complex sophisticated statistical models.
  • Leads the design and execution of research studies involving genomic and transcriptomic data.
  • Directs groups to conduct collaborative efforts with team members to interpret and present research findings.
  • Maintains expertise in the latest developments in bioinformatics, genomics, and transcriptomics.
  • Architects and maintain robust pipelines for processing and analyzing large-scale genomic data sets.
  • Supervises and coordinates with bioinformatics and laboratory personnel to ensure the quality and accuracy of genomic data.
  • Leads the interpretation and visualization of genomic data and prepares comprehensive reports and presentations for research studies and publications.
  • Drives the development of novel analytical methods and techniques for genomic data analysis.
  • Provides strategic bioinformatics leadership for clinical studies and trials involving genomic data.
  • Leads the development and implementation of data management and sharing policies for genomic data.
  • Mentors and trains team members and collaborators on advanced bioinformatics tools and methods.
  • Represents the organization at scientific conferences, workshops, and training programs to maintain cutting-edge knowledge in bioinformatics, genomics, and transcriptomics.
  • Coordinates externally with partners and stakeholders, such as academic and industry researchers, regulatory agencies, and patient advocacy groups, on research projects and initiatives.
  • Handles project timelines, resource allocation, and deliverable quality across multiple concurrent projects, while auditing processes to ensure compliance and efficiency.

Supervisory Relationships:
  • This position does not have supervisory responsibilities; this position reports administratively and functionally to the Director of CDS.

Education and Certifications:
  • Ph.D. degree in bioinformatics, computational biology, genetics, statistics, or a related field is required with at least 8 or more years of experience

Experience and Skills:
  • Post-doctoral experience or skill is preferred.
  • Experience with BioVU would be an added benefit.
  • Experience with long read RNA-Seq would be a strong advantage.
  • Background or experience in bioinformatics and a strong understanding of statistics is required.
  • Proficiency in programming languages R and Python
  • Knowledge of statistical analysis methods for genomic data, including GWAS, rare variant analysis, and eQTL analysis.
  • Familiarity with common bioinformatics tools and databases, such as Ensembl, UCSC Genome Browser, and dbGaP.
  • Familiarity with HPC and cloud computing infrastructure.
  • Excellent communication and problem-solving skills.
  • Ability to work independently and as part of a team

About Us
At Vanderbilt University , our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of "America's Best Large Employers" as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice.
We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story.
Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.

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