Genomics Data Scientist (2 year contract) at Roche

Basel, Basel-City, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Data Analysis, Statistical Methods, Software Engineering, High-Performance Computing, Cloud Environments, Machine Learning, Transcriptomic Analysis, Genomic Analysis, Epigenetic Data Analysis, Single-cell Sequencing, Spatial Sequencing, Bulk Sequencing, Computational Biology, Technical Communication

Industry

Biotechnology Research

Description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position The Institute of Human Biology (IHB) is a newly established research center in Basel, Switzerland, dedicated to advancing the understanding of disease biology through the use of human model systems. The institute fosters dynamic collaboration among biologists, engineers, and data scientists, bridging the gap between academic and pharmaceutical research. Closely associated with Roche’s Pharmaceutical Research and Early Development (pRED), we partner with leading academic institutions both locally and globally to address grand challenges with bold, innovative science. The Opportunity We are looking for a highly motivated and talented Genomics Analysis Data Scientist to work at the interface of exploratory academic research and process innovation in a leading Biopharma company. You will join the Institute of Human Biology (IHB), collaborating with scientists and engineers to design and implement computational pipelines and frameworks for the analysis of large-scale transcriptomic, genomic, epigenetic data from single-cell spatial and bulk sequencing experiments. Your work will enable quantitative readouts from complex human model systems and directly support biological discovery. Working in a fast-paced research environment, you will contribute to the advancement of next-generation human model systems, analytical pipelines and open-source software tools used by the broader bioimaging community. Who you are You have completed an M.S. and/or PhD in computational biology or a closely related field within the past 3 years. Proficiency in Python & R and familiarity with relevant scientific and visualization frameworks Proficiency in data analysis and statistical methods Experience with modern software engineering tools and methods Background in designing scalable solutions for high-performance computing or cloud environments is a plus Prior training and/or experience in machine learning would be advantageous Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to a non-technical audience Team player with the ability to also work independently and proactively Compensation & Benefits This position also offers an attractive benefits package. Learn more about how we reward our employees at Roche. Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

Responsibilities

Design and implement computational pipelines for analyzing large-scale transcriptomic, genomic, and epigenetic data from various sequencing experiments. Collaborate with scientists and engineers to support biological discovery and advance next-generation human model systems.