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Bioinformatics In Jobs in Utah (NOW HIRING)

Utah State University

Postdoctoral Fellow I

Logan, UT

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host-pathogen interaction networks in diverse Avian and HPAI strains. * Focus on system and data integration ...

Utah State University

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Develop systems bioinformatics approaches including Machine Learning-based to decipher host-pathogen interaction networks in diverse Avian and HPAI strains. * Focus on system and data integration ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT

$65K - $73K/yr

... in vivo disease models. * Multiomics: singlecell and bulk transcriptomics, untargeted metabolomics, quantitative proteomics. * Computational and AI approaches: microprotein bioinformatics, multiomic ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... in vivo disease models. * Multi-omics: single-cell and bulk transcriptomics, untargeted metabolomics, quantitative proteomics. * Computational and AI approaches: microprotein bioinformatics, multi ...

Varsity Tutors

Genetics Tutor

Logan, UT · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Genetics Tutor

Cedar City, UT · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Genetics Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

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 ...

Varsity Tutors

Genetics Tutor

Provo, UT · Remote

$18 - $40/hr

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 ...

ARUP

Scientist I

Salt Lake City, UT · On-site

Performs research sequencing in a clinical R&D laboratory, with primary responsibility for planning ... Requires experience with multiple NGS methodologies and applied bioinformatics for data analysis ...

ARUP Laboratories

Scientist I

Salt Lake City, UT · On-site

Performs research sequencing in a clinical R&D laboratory, with primary responsibility for planning ... Requires experience with multiple NGS methodologies and applied bioinformatics for data analysis ...

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All JobsBioinformatics In JobsBioinformatics In Jobs in Utah

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 Utah are hiring for Bioinformatics In jobs? Cities in Utah with the most Bioinformatics In job openings:
Bioinformatics In jobs near you
Bioinformatics Analyst - UT

Bioinformatics Analyst - UT

GATC Health

Salt Lake City, UT

Full-time

Re-posted 20 days ago

Job description

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.
 
Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.
 
Roles and Responsibilities
  • Prep and Process data through GATC platform based on customer or internal end user requirements.
  • Implement primary and secondary analysis tools for GATC’s assays.
  • Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
  • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
  • Engage with external collaborators on the evaluation of beta version products and analysis of novel data.
Role Requirements
  • Degree in computational biology, bioinformatics, computer science or similar.
  • Experience analyzing complex multi-omic datasets, including human or single cell data.
  • Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
  • Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
  • Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
  • Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.
Role Preferences
  • Experience using or interfacing with machine learning algorithms.
  • Experience analyzing and interpreting large-scale human or single cell datasets.
  • Experience with professional software development methods and tools in a team environment.
  • Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
  • Experience working with collaborators, including lab scientists on multi-omic method development.
  • Experience visualizing scientific datasets and results.
  • Experience using cloud computing environments.
  • Computational biology and bioinformatics innovation.
Why Join Us:
• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.
• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.
• Competitive compensation package, including salary, benefits, and opportunities for professional development.
• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.