Bioinformatics Analyst - UT

GATC Health; Salt Lake City (UT); On-site; USD 80,000 - 90,000; Full time

Benefits offered by this job

Collaborative and inclusive work culture

Professional development opportunities

Competitive compensation package

Job summary

GATC Health in Salt Lake City is seeking a Bioinformatics Analyst to support pharmaceutical discovery through data analysis and informatics. This role involves developing and implementing analysis methods for complex datasets and requires a degree in computational biology or related field, along with expertise in bioinformatics.

Join us to work at the intersection of technology and science, with a focus on innovative research and impactful contributions to human health. The position offers a competitive salary range of $80,000 - $90,000 annually.

Qualifications

• Experience analyzing complex multi-omic datasets, including human or single-cell data.
• Experience implementing and evaluating novel bioinformatics algorithms and pipelines.
• Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.

Responsibilities

• Prep and process data through GATC platform based on requirements.
• Implement primary and secondary analysis tools for GATC’s assays.
• Work with cross-disciplinary R&D teams to develop new applications.

Skills

Bioinformatics

Computational biology

Data analysis

Python

R

Education

Degree in computational biology, bioinformatics, or computer science

Tools

Machine learning algorithms

Cloud computing

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.

$80,000 - $90,000 a year

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.