Open Internship Positions
This is a list of internship positions and master thesis opportinities offered to D-BSSE master students. To include your offer or for further information, please contact the BSA (bsa@ethz.ch).
Last updated: 20.4.24
- Company: CSEM
- Internship title: Biosystems Engineering Internship
- Description: The Biosystems Engineering group at CSEM in Allschwil focuses on developing innovative tools for life sciences. Our core activities include the development of microfluidic devices for analysis of biological samples, biosensors for the detection of molecules, and novel experimental assays for diagnostics and therapeutics.
Working at CSEM, you will contribute to various ongoing projects in a stimulating, dynamic, and highly collaborative environment. You will have the opportunity to connect with a variety of project partners including early-stage startups, academic labs, and multi-national companies, and learn about activities of neighboring start-ups at the new Switzerland Innovation Park. Current projects include developing droplet microfluidic assays for single cell applications, integration of microfluidic devices with light-based detection systems for high-throug. More information external page here. - Knowledge/Skills:
- Highly motivated and willingness to learn
- Basic knowledge, experience and/or interest in biology/chemical lab skills
- Understanding/interest in biochemistry, polymer chemistry, microtechnology, microfluidics, microscopy, and/or biomaterials
- Team player
- Fluent in English (German is not mandatory)
- Self-driven
- Enjoys working on challenging multi-disciplinary problems and takes initiative to propose creative solutions.
- Contact: Dr. Lynna Chen (lynna.chen@csem.ch)
- Duration: 6 months
- Starting date: Summer 2024
- Location: Allschwil (BL)
- Date posted: 12.3.24
- Company: Roche
- Internship title: Knowledge Management Internship
- Description: We are looking for Knowledge Management (KM) and Computer Science (CS) enthusiasts with a keen interest in delivering and supporting advanced solutions at the interface of the Computer- and Life Sciences.
KM increases the productivity and efficiency of every one of our company’s employees. We deliver services, processes and solutions that help an organization of several thousand researchers to manage and analyze their information. During the last years we have, for example, developed state-of-the-art solutions for semantic and numerical integration, automated processes for large-scale document management, and AI based information retrieval and classification tools. All our project teams follow the agile method within a very large IT organization, but embedded in a research & development function. Our interns are part of the team – which means you share all the fun & all the pain.
- Your main accountabilities will be (depending on your skills & interests):
- Support a change management team to help deliver knowledge management solutions
- Coordinate with colleagues and customers in the US and Europe to deliver complex technical solutions and drive change into the organization
- Manage projects independently, and present results to your team
- Work with operational and service professionals to support content migrations, application development, content analysis and AI/ML driven decision support
- Be part of an award-winning team (4 awards in 4 years) and learn about professional software development and support across a global organization (Java, Angular, Hadoop on HPC)
- Learn to run a support organization for in-house and commercial content systems, such as SharePoint, SolR, Discourse, Google Suite, HBase
- Develop a high level of understanding of global business and IT processes
- Produce marketing and educational material for workshops and training sessions.
- Knowledge/Skills:
- Ability to present ideas in a clear, comprehensive manner – yes, you need to convince colleagues
- Independent working style, yet also in a very high performing team
- You possess organizational and administrative skills
- Experience in Java and programming language would be a plus
- Fluent in English and at least basic knowledge in German
- You can apply external page here.
- Contact: Luca Witte, 2nd year Biotech student and current intern (phone number available upon request from BSA).
- Duration: 6-12 months
- Starting date: ASAP
- Location: Basel
- Date posted: 20.4.24
- Company: Roche
- Internship title: Leveraging Large Language Models for Toxicology metadata enrichment
- Description: The position in question is aimed to support the application of LLMs for toxicological data extraction and enrichment from historical documents. The extracted data will be used to enrich already existing data sources as well as provide the knowledge base for development of new ones according to the specific needs of the toxicologists.
We are seeking a student pursuing a master’s or PhD degree with expertise in computer science and strong interest in LLMs and their application in the field of toxicology.
- In this position you will:
- Explore different LLMs for toxicological data extraction from historical documents (reports, presentations, etc)
- Improve and support the existing workflows by data extraction
- Apply the improved workflows for different use cases related to data enrichment and extraction
- Collect requirements from final users for data visualization and use
- Qualifications Required:
- Currently enrolled in a Master’s program or have completed your (Master’s or Bachelor) studies not longer than 12 months ago in bioinformatics, biomedicine or computational sciences with interest or working knowledge in biology, toxicology, and/or life sciences.
- You have experience and expertise in the following:
- Programming skills in Python;
- Knowledge and interest in pharmacology /toxicology/life sciences is an advantage;
- Good data engineering, visualization, and interpretation skills are desirable;
- You have very good interpersonal and communication skills, are able to build good working relationships, and are an outstanding teammate. Your experience and investigative attitude allow you to work independently, to design, perform, and interpret experiments, and to embark on new scientific methodologies.
- You can apply external page here.
- Contact: Ilya Schneider, 2nd year Biotech student and current intern (contact details available upon request from BSA).
- Duration: 6-9 months
- Starting date: September 2024
- Location: Basel
- Date posted: 20.4.24
external page
- Company: Nestlé Research
- Internship title: Sequencing technologies Master Trainee
- Description: You are excited to work with new sequencing technologies and you have a background in molecular biology and bioinformatics related to genomics. Join a dynamic and enthusiastic team of Laboratory and Data scientists in the Genomics group, part of the BioAnalytics department. You will work on testing and implementing new methods/applications for bacterial or eukaryotic genomes using short and long reads sequencing technologies. The project will involve laboratory work (e.g. DNA purification from samples, library preparation, sequencing), and basic bioinformatics to analyse and interpret the data generated. More information external page here.
- Example Day in the Internship:
- Perform molecular biology experiments to prepare samples for sequencing
- Perform sequencing
- Perform quality check of the data, analyze the data and summarize results
- Read relevant literature, prepare, and present results to the group and the department, and write notes
- Contact: Patrick Descombes (patrick.descombes@rd.nestle.com.)
- Duration: 6 months
- Starting date: Q3-4 2024
- Location: Lausanne
- Date posted: 28.02.24
- Company: Nestlé Research
- Internship title: Master trainee in microbe-host interactions
- Description: We are looking for a highly motivated student with good communication skills and a collaborative mindset, to join the Microbiome group at Nestlé Research. As a Master/Internship Trainee in our Gastrointestinal Health department, your main activity wil be to explore the biology of major human milk components for infant development. You will work on the elucidation of the mode of action of selected human milk oligosaccharides (HMOs) using model systems. More information external page here.
- Key Responsibilities:
- Run microbiological experiments: culturing, enumeration, follow production of metabolites, etc.
- Run microbe-host interaction studies
- Work in a highly collaborative and interdisciplinary context
- Present and report in group meetings
- Contact: Hanne Tytgat (hanne.tytgat@rd.nestle.com)
- Duration: 6 months
- Starting date: tbd
- Location: Lausanne
- Date posted: 28.02.24
- Master thesis opportunity at the Treutlein lab
- Description: Are you an MSc student in Computer Science, Physics, Maths, Bioinformatics, or a related discipline with strong coding/ML skills and an interest in biological questions? This thesis project might be interesting for you! In this project, we want to use different data modalities to learn faithful representations of cellular states and dynamics during human brain development. Using combinations of deep learning, probabilistic modeling, and (neural) optimal transport, we want to better understand how cells execute complex decisions. We will develop new computational methods and apply them to in-house generated datasets. More information external page here.
- Supervisor: Dr. Marius Lang
- Start date: March/April
- Duration: 9 months
- Date posted: 1.3.24
- Reasearch project or master's thesis opportunity at DTU in Denmark
- Description: In this project, we aim at implementing natural and synthetic C1-fixation pathways in P. putida by constructing synthetic auxotrophs that act as an in vivo sensor of the pathway activity via multiple gene deletions. These strains will be able to grow on a defined carbon source only if the synthetic pathways are active. This strategy facilitates the testing of rationally designed metabolic engineering strategies and enables the exploitation of evolution for creating synthetic autotrophs. The students will have the possibility of shaping their internship according to their interest since the project articulates in different research lines, from metabolic engineering of novel substrate assimilation routes and of bioproduction pathways, to adaptive laboratory evolution and synthetic biology tool development. During the internship, you will learn modern DNA assembly methods, state-of-the-art genetic engineering techniques and systems biology approach for the analysis of microbial metabolism.
More information external page here. - Supervisor: Filippo Federici (filifed@biosustain.dtu.dk)
- Start date: TBD
- Duration: 4-9 months
- Date posted: 8.3.24