Bioinformatics Analyst - UT

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

Benefits offered by this job

Collaborative work culture

Competitive compensation package

Professional development opportunities

Job summary

Medium is looking for a talented Bioinformatics Analyst in Salt Lake City, Utah. You will be responsible for implementing and aiding in the design and analysis of software and informatics pipelines for various data types.

The ideal candidate will have experience in analyzing complex multi-omic datasets and strong programming skills. You'll contribute to innovative methods supporting pharmaceutical development and will thrive in a collaborative and technology-driven environment.

Qualifications

• 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.

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 new discovery applications.

Skills

Complex multi-omic dataset analysis

Programming in Python

Bioinformatics algorithms implementation

Excellent communication skills

Education

Degree in computational biology, bioinformatics, or related field

Tools

Python

R

Machine learning algorithms

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.