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GT Molecular · 2 hours ago

Bioinformatics Scientist

Colorado, United States

Full-time

Onsite

Mid, Senior Level

$90K/yr - $140K/yr

GT Molecular is a company focused on developing innovative digital PCR and NGS solutions to aid cancer patients and detect harmful pathogens. The Bioinformatics Scientist will contribute to building proprietary bioinformatics pipelines and creating algorithms to analyze genomic data for improved patient outcomes.

BiotechnologyGeneticsMedical

Responsibilities

Contribute to building GTM's proprietary bioinformatics pipelines

Create novel algorithms which analyze next generation sequencing data to provide improved outcomes for cancer patients and ad-hoc scripts to analyze massively parallel sequencing (NGS) genomic data

Define the appropriate algorithmic approach for a given problem

Interpret the results of analyses within their biological context

Communicate complex scientific ideas clearly and work well in a team environment

Combine novel and existing tools into effective pipelines

Implement custom statistical methods and algorithms and apply them to large data sets

Qualification

Bioinformatics pipelinesNext Generation SequencingPythonAlgorithm developmentStatistical principlesMachine learning methodsLinux environmentVersion control (Git)Molecular biology processesCreative problem solvingCommunication skills

Required

PhD or MS plus equivalent experience in a quantitative field (e.g. computational/systems biology, biology, physics, mathematics, computer science, electrical engineering, or related field)

Candidates with experience in cancer genomics and NGS will be prioritized

A solid understanding of algorithmic approaches to analyze genomic data as well as tools and genome databases

A solid understanding of biology at the cellular and molecular level so you can interpret the results of your analyses within their biological context

Strong experience in the use of a high-level programming language such as Python for complex data analysis, familiar working in Linux and cloud-compute environment

An understanding of the statistical principles, machine learning methods and current best practices in high-throughput molecular data analysis

Experience with building / supporting / using bioinformatic pipelines

Ability to quickly conceive and implement custom statistical methods and algorithms and apply them to large data sets

Ability to communicate complex ideas with an interdisciplinary team, both written and verbal

Preferred

Proven software development proficiency, including version control systems such as Git

Strong understanding of mainstream molecular biology processes such as Illumina next-generation sequencing methods, nucleic acid purification and quantitation, PCR/qPCR, library preparation, DNA cloning

Knowledgeable about OOP concepts in Python

Creative problem solver who obsesses over finding useful information in data