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Computational Biology Intern
| Hours | Full-time, Part-time |
|---|---|
| Location | Cambridge, Massachusetts |
About this job
About Inari...
Inari is the SEEDesign company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation - to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.
Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.
We have over 300 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We've deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet's natural resources, we'd love to hear from you!
About the role...
We are looking for two Computational Biology summer intern currently enrolled in an M.S. or Ph.D. program with strong experience in computational biology, predictive modeling and comparative genomics to join our team focused on using these methods to help improve the target identification and target ranking for gene editing. The pipelines and the results from this intern's work will contribute to the efforts of building predictive design capabilities. The first intern will work on building pangenome graph and the second intern will work on building predictive modeling of gene editing.
As an intern you will ...
- Work with large scale sequencing and genotyping data
- Work with computational biologist and bioinformatics data analyst to build pangenome graph
- Work with computational biologist and machine learning data scientist to build predictive model of gene editing
- Gain familiarity with performing genomics and bioinformatic analyses on cloud platforms (i.e. AWS)
- Use the scientific literature inform new analyses and hypotheses
- Present your results to stakeholders within the company
- Become familiar with the norms of working in a private sector biotechnology company
You bring ...
- Competency with one or more of the following {Python, R, Julia} and a Linux/UNIX computing environment
- Familiarity with tools to build pangenome and pangenome graph
- Familiarity with tools to build predictive model and apply machine learning in genomics
- Ability to work in a team in a fast-paced, cross-functional environment
- Ability to manage ambiguity and to exchange constructive feedback
- Adaptability and enthusiasm for new challenges, innate curiosity, and a passion for learning
- Curiosity and a desire to continuously learn and have a meaningful impact
- Creative and strategic thinking, good problem-solving skills, willingness to be bold and take risks, and the ability to recognize and learn from failures
Bonus qualifications
- Previous experience working with pangenome graph and single cell sequencing data
- Familiarity with machine learning and deep learning models
- Experience working with any of the following: AWS, Google Cloud, Docker, Git, Agile methodologies
FOR U.S. CANDIDATES:Please note that we use the resume you submit with your application during our background check process. To ensure an efficient and accurate background verification, we kindly ask that you carefully review and accurately represent your work history, education and other relevant information on your resume. Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position.
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