Do you want to work in a fast-paced, energizing environment with an interdisciplinary team of biochemists, programmers and oncologists?

Are you interested in developing cutting-edge solutions that can help cancer patients and detect harmful pathogens?

If so, read on!

We have part-time and full-time positions open. Please specify your desired track.

The ideal candidate will contribute to building GTM's proprietary bioinformatics pipelines. This will involve building robust pipelines and ad-hoc scripts to analyze massively parallel sequencing (NGS) genomic data and organize the results to enable further analysis. The position requires a quantitative background in order to be able to define the appropriate algorithmic approach for a given problem. The position also requires a deep understanding of biology at the cellular and molecular level so you can interpret the results of your analyses within their biological context. The ability to communicate complex scientific ideas clearly and work well in a team environment is also essential. Prior experience combining novel and existing tools into effective pipelines is a plus. Some UI/UX design experience with Python and/or database work is desirable.

To Be Successful In This Role, You Will Need

• 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)

• A solid understanding of algorithmic approaches to analyze genomic data as well as tools and genome databases. Candidates with working knowledge of genome editing and gene expression/function will be prioritized.

• Strong experience in the use of a high-level programming language such as R or Python for complex data analysis, familiar working in Linux and HPC 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

• Ability to work independently and collaboratively

Also, We'd Like To See

• Strong programming ability in Python or R, C++ or Rust also desirable

• Knowledgeable about OOP concepts in Python.

• Some UI/UX design

• Ability to work on cloud infrastructure (Azure)

• Creative problem solver who obsesses over finding useful information in data

• A combination of mathematical depth with a good respect for the imperfections inherent in real-world data

Please send resume and references to: [email protected]

Individuals seeking employment at GT Molecular are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

Competitive salary, benefits and other incentives.

Employment Type

Full-time / hybrid