NGS & Spatial Data Analyst (m|f|d) at Miltenyi Biotec

Bergisch Gladbach, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

NGS Data Analysis, Bioinformatics, Python, R, Linux Shell, Cell Biology, Immunology, Cancer Biology, Multiomic Spatial Data, Data Science, Artificial Intelligence, Collaboration, Communication, Analysis Pipelines, Documentation, Presentation

Industry

Biotechnology Research

Description

Company Description For 35 years, we have been developing cutting-edge science and technology to empower biomedical research and personalized medicine. We combine excellence from more than 60 disciplines in natural sciences, engineering, and informatics to make a significant contribution to biomedical sciences. We encourage a creative working environment driven by pioneering spirit – to seek new horizons – boldly envisioning the future and turning it into reality. Today, more than 4,800 experts from over 50 countries contribute to our sustainable success. Job Description Your role In order to treat serious diseases and develop new research products, researchers at Miltenyi work on immuno-oncology-related projects that require in-depth analysis of various kinds of NGS data. These data are analyzed and interpreted by the NGS Bioinformatics team. For that purpose, we combine cutting edge research, data science, and artificial intelligence. As part of our NGS Bioinformatics team, you analyze complex next-generation sequencing (NGS) datasets to extract meaningful biological insights in the context of cancer treatment. Performing advanced analysis of high-content multiomic spatial imaging data generated by MACSima technology is a crucial part of the role. Collaboration with R&D scientists and software engineers to develop and implement innovative bioinformatics methods tailored to project needs is part of your responsibility. By documenting, interpreting, and presenting analytical results in English you will be ensuring clarity and alignment with project requirements. You will be in charge of constructing reliable customized as well as standardized analysis pipelines. Qualifications Your profile Experience with diverse NGS data types (WES, WTS, scRNAseq, scTCR/BCRseq, bulk TCR/BCRseq, ATACseq, long read sequencing and more) Proficiency in programming (Python, R, Linux shell, etc.) and code documentation Strong communication skills for collaboration with R&D and software teams Background knowledge in cell biology, immunology, or cancer biology Experience with multiomic spatial data (e.g. MACSima) would be a plus as well as exposure to clinical data Additional Information What we offer Flexible work: Enable time management on your terms Diversity: International teams and cross-border intercultural communication Room for creativity: It’s the most clever solution that we always strive for Health & Sport: We offer a wide range of corporate sports activities and health provision Miltenyi University: A clever mind never stops learning, take advantage of our in-house Training Academy Diversity is the bedrock of our creativity. Our mission: To innovate treatments and technologies and tackle the world’s most serious health challenges. And that’s why we connect the dots –across various disciplines, linking different perspectives, skills, and abilities. You and your talent are welcome here in our inclusive and collaborative environment. So come as you are. Regardless of gender, sexual identity, age, ethnicity, religion, or disability. Become part of our team and focus on pushing the borders of medicine. Contact us If you have the skills and qualifications for this position, please use the link to send us your details (application letter, curriculum vitae, references and certificates). Please give us some idea of when you can start and the kind of salary you are looking for. #LI-Onsite

Responsibilities

Analyze complex next-generation sequencing (NGS) datasets to extract meaningful biological insights in the context of cancer treatment. Collaborate with R&D scientists and software engineers to develop and implement innovative bioinformatics methods tailored to project needs.