Master Student (m/f/d) - Genomics

GSK • Heidelberg, MS

1d

About The Position

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Master Student (m/f/d) - Genomics In this position, you will become part of the Genomics team within the OMICs department contributing to the design and execution of experiments and the generation of datasets that support disease research and target discovery. You will work on a range of genomics and multi‑omics assays and have the opportunity to develop and apply new laboratory approaches. The role involves close collaboration with colleagues across sites and disciplines, including computational biology and AI_ML, within a matrixed organisation. Candidates should have a solid molecular biology background, a strong interest in genomics, and a collaborative, solution‑oriented mindset.

Requirements

• Currently enrolled in a Master’s programme in molecular biology, genomics, biotechnology or a related discipline
• Practical laboratory experience in molecular biology, with hands‑on experience in genomics workflows
• Experience designing experiments using bulk RNA-seq and preferably single-cell RNA-seq technologies
• Solid knowledge of core molecular biology techniques, including qRT‑PCR, NGS library preparation and QC
• Demonstrated ability to design experiments, independently troubleshoot and solve technical problems, and implement new protocols
• Proven capability to work both independently and effectively within multidisciplinary teams
• Strong organisational skills, meticulous record‑keeping and the ability to prioritise tasks in a dynamic environment
• Excellent communication skills with experience of liaising with scientists and stakeholders at varying levels of seniority

Nice To Haves

• Experience in computational analysis of genomics data, including QC, pre-processing and primary analysis - particularly for bulk RNA seq or single cell RNA seq
• Familiarity with how genomics supports the drug discovery process, including target discovery and later-stage asset development
• Working knowledge of immunology or prior experience with primary human cell–based projects
• Experience with complex in vitro models such as primary (immune) cells, iPSCs, organoids or spheroids

Responsibilities

• Plan and execute experimental phases of disease phenotyping projects, including the design and implementation of single cell workflows
• Operate, maintain and optimise laboratory workflows and equipment in close collaboration with automation specialists and external vendors
• Support sequencing operations and participate in sample preparation, library construction, sequencing runs and related QC activities
• Perform basic data quality control and participate in downstream data analysis where appropriate, liaising with computational colleagues as needed
• Collaborate effectively within multidisciplinary teams and communicate results clearly to internal scientists and external partners
• Stay up to date with relevant scientific literature and emerging technologies in genomics and single cell methods
• Maintain accurate, compliant records and documentation for experiments and workflows
• Present experimental results and project updates at internal meetings and, when appropriate, at external forums
• Demonstrate a proactive, organised approach to work, prioritising tasks and managing time effectively

What This Job Offers

• Career Level: Intern