Student Assistant in Human Health Biosolutions Science & Innovation

Are you ready for a new beginning?
We need your talent, knowledge and dedication to better our world with biology.

Our purpose points the way
In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless.

We’re here to better our world with biology.

Join us as our new Microbiome Student Assistant in Human Health Biosolutions Science & Innovation
As a Microbiome Student Assistant, you will play a pivotal role in analyzing and interpreting microbiome and multi-omic data to uncover new insights into the impact of the microbiome on human health. You will be part of our mission to understand the microbiome's complexities and leverage this knowledge to enhance human well-being globally. If you are passionate about tackling complex challenges, analyzing omic data, interpreting results, and developing innovative statistical methods using machine learning, this role is ideal for you.

Welcome to Human Health Biosolutions Science & Innovation
Our dynamic and international team that is passionate about creating a better world with biological solutions. Experience a top-tier industrial biotech environment, grow as a professional alongside your studies, and build data science/bioinformatics, data engineering, and microbiology skills.

In this role you’ll make an impact by:

• Identifying and evaluating human microbiome studies of relevance.
• Contributing to the ingestion of public data into our proprietary discovery platform.
• Adapting existing bioinformatic tools into Nextflow modules.
• Running bioinformatics pipelines on various data sources.
• Conducting analyses on omics data.
• Being a part of making advanced analytics on microbiome data using machine learning and deep learning models

To succeed you must:

• Be a student in a relevant biotechnology, computer science, or natural sciences field.
• Be at your final BSc year or enrolled in a MSc program.
• Be fluent in both oral and written English.
• Already possess or have the ambition to acquire excellent Python or R programming skills with a commitment to good programming and code management practices.
• Coursework experience with data science methods in statistics or machine learning.
• Be able to work between 10-20 hours per week, with flexibility in exam and vacation periods.
• Experience with workflow orchestration tools and git is a plus but not required.
• Interest and experience with metagenomics and microbial genomics is a plus but not required

Location:
This job will be located at DTU Science Park, Kogle Alle 6, Denmark

Are you passionate about making a sustainable impact, and do you see yourself in this position? Then unlock your passion and apply today!

Application deadline: February 15, 2025

Contact details: Damian Plichta ([email protected])

Could our purpose be yours? Then apply today!

At Novonesis we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We recommend you not to attach a cover letter to your application. Instead, please include a few sentences in your resume/CV about why you are applying. To ensure a fair recruitment process, please refrain from adding a photo in your resume/CV.

Novonesis is committed to creating a diverse environment and is proud to be an equal opportunity and affirmative action employer. All employment decisions are based on business needs without regard to race, color, ethnicity, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, disability, or veteran status.

Want to learn more?
Learn more about Novonesis, our purpose, and your career opportunities at novonesis.com

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