Data Scientist in the Explorative Biochemical Analytics Department, R&D Novonesis
Data Scientist in the Explorative Biochemical Analytics Department, R&D Novonesis
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Are you ready fora 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 humanitys biggest challenges. Since we began more than a century ago this has been our guide. Its how weve gotten so far. And its how well impact the future. Now more than ever the world needs change. And with biosolutions the possibilities for transformation are endless.
Were here to better our world with biology.
Join us as our new Data Scientist in the Explorative Biochemical Analytics Department R&D Novonesis
Are you passionate about developing data flows and solving real-world problems in biotechnology using data-driven decisions Do you have experience with databases and a mindset for creating solutions for users to work smarter and not harder Then you might be our new data scientist.
Were looking for aData Scientistwho thrives in a collaborative environment and is excited to work across a broad variety of data types and scientific workflows. Youll play a key role advancing our digital infrastructure by designing data pipelines and creating intuitive visualizations to support our scientists and business stakeholders. Furthermore you will be anchored in key R&D projects to contribute with advanced data analysis for the development of new biosolutions.
Welcome to Explorative Biochemical Analytics Department
The Explorative Biochemical Analytics Department develops biochemical methods and provides qualitative and quantitative data of small molecules peptides proteins and polysaccharides in biological matrices for use in projects and product development.
We primarily use liquid chromatography as separation technique and mass spectrometry UV infrared spectroscopy and light scattering for detection. We are active in many projects to accelerate mode of action understanding and to improve the chemical characterization of existing and future enzymatic and microbial products.
Key Responsibilities:
Design and implement data pipelines for diverse biochemical analyses ensuring seamless integration between our laboratories and data infrastructure.
Collaborate closely with scientists and lab technicians to understand experimental workflows ensure accurate data capture and provide tailored data solutions to support research objectives.
Build data solutions and interactive visualizations to provide researchers with one-click access to analyses dashboards and metrics.
Collaborate with scientists to solve data challenges (e.g. developing apps datasets performing biochemical data analysis etc).
Represent the team in data governance initiatives across Novonesis
Provide mentorship and training to team members on data science methodologies tools and best practices.
Define and implement best practices for managing FAIR biochemical data.
To succeed you must hold:
Bachelors degree in biology biotechnology bioinformatics pharma or similar field with strong biological literacy.
Masters degree in data science or related discipline with 3 years of experience working in this area.
Proficiency in Python for data analysis and app development.
Experience working with SQL and relational databases.
Experience working with unstructured or semi-structured data from laboratory systems instruments or experimental outputs.
A strong communicator who can collaborate with colleagues from a variety of backgrounds including chemists microbiologists lab technicians and IT professionals.
Other skills that are preferable:
Hands-on experience building apps using Dash Streamlit or similar platforms.
Strong foundation in statistics and multivariate data analysis techniques.
Practical experience in applying machine learning techniques (e.g. regression classification clustering) to analyze and interpret complex biological or biochemical datasets.
Experience working with large-scale scientific datasets such as omics data or time-series laboratory data.
Location: This job will be located at Novonesis Innovation Campus in Hrsholm Denmark.
Application deadline: August 25th 2025. Please apply as soon as possible as we will continuously screen the applicants.
Contact details: Department Manager Bruna Marques dos Santos e-mail:
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 dedicated to fostering a unique community by embracing and respecting differences. We make all employment decisions based on business needs ensuring that every individual can thrive regardless of identity or background such as ethnicity religion gender sexual orientation age disability or veteran status.
Want to learn more
Learn more about Novonesis our purpose and your career opportunities at
Not the right fit for you
Even if this job isnt the right fit for you perhaps you know someone who might find it interesting. If so please feel free to share the job link and encourage them to apply. Thank you for your referral! Please check out our other open positions. The right fit for you could just be a few clicks away.
Stay alert: Avoid recruitment scams
At Novonesis we are committed to maintaining a safe and transparent recruitment process. Please be aware of potential scams targeting job seekers and take note of the following:
- Novonesis will never ask for sensitive personal information such as bank account details Social Security numbers or passwords at any stage of the hiring process.
- Novonesis does not make employment offers without conducting interviews with candidates.
If you receive suspicious communication claiming to be from Novonesis please do not share any personal or financial information. We encourage you to verify the legitimacy of the message by contacting us directly through our official channels.
Employment Type
Full-Time
