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- Aufgaben: Analyze -omics data using machine learning and collaborate on scientific publications.
- Arbeitgeber: Join the Chair of Epidemiology at Augsburg University Hospital, a hub for innovative research.
- Mitarbeitervorteile: Enjoy hybrid work options, health programs, and public sector benefits.
- Warum dieser Job: Be part of an interdisciplinary team making impactful discoveries in health and nutrition.
- Gewünschte Qualifikationen: Doctorate or master’s in relevant fields with strong skills in R/Python and machine learning.
- Andere Informationen: Applications are open until 04.03.2025; we value diversity and inclusivity.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
The Chair of Epidemiology at the Medical Faculty of the University of Augsburg at Augsburg University Hospital is seeking to fill a part-time position (50% of the regular working hours) for a Data Scientist (m/f/d) or Bioinformatician (m/f/d), for a duration of two years, starting as soon as possible.
Responsibilities:
- Independently identify, develop, and implement computational and statistical methods for analyzing -omics data.
- Apply machine learning approaches to explore and model the relationship between dietary factors and gut microbiota composition/function.
- Collaborate with interdisciplinary teams to design analyses and interpret findings.
- Contribute to scientific publications and reports.
Qualifications:
- Doctorate or master’s degree and relevant experience in Data Science, Bioinformatics, Statistics, Computational Biology, or a related field.
- Strong background in machine learning, statistical modeling, and data visualization.
- Experience in analyzing -omics datasets is desirable.
- Proficiency in programming languages including R and/or Python.
- Ability to work independently and as part of a multidisciplinary team.
- Excellent written and verbal communication skills.
- Proficiency in English or German at the C1 level is essential.
What We Offer:
- An interesting and responsible position in an interdisciplinary team, along with good opportunities for further training and development.
- Your workplace is located on the campus of the Augsburg University Hospital and is easily accessible by public transport. Hybrid remote work is an option.
- The initial employment is for a limited period of two years.
- Compensation according to the collective agreement (TV-L), depending on qualifications and professional experience, including public sector social benefits (company pension scheme, annual special payment).
- Attractive offers as part of corporate health management, such as yoga classes, fitness programs, and much more.
- Employee discounts with various companies.
Apply online in just a few clicks. Simply upload your cover letter, resume, and certificates by 04.03.2025 , review the submitted information, and send off your application.
We look forward to hearing from you!
The position is suitable for individuals with disabilities. Applicants (m/f/d) with disabilities will be given preference in the case of essentially equal qualifications, skills, and professional performance. The University Hospital of Augsburg promotes gender equality in the workplace. When starting work at the Augsburg University Hospital, proof of sufficient immune protection in accordance with §§ 23, 23a IfSG must be presented or the same must be ensured.
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Data Scientist (m/f/d) or Bioinformatician (m/f/d) Arbeitgeber: Universitätsklinikum Augsburg A.ö.R.
Kontaktperson:
Universitätsklinikum Augsburg A.ö.R. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist (m/f/d) or Bioinformatician (m/f/d)
✨Tip Number 1
Familiarize yourself with the latest trends and techniques in machine learning and bioinformatics. This will not only help you during the interview but also demonstrate your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the epidemiology and bioinformatics community. Attend relevant conferences or webinars, and connect with researchers from the University of Augsburg to gain insights into their work and the team culture.
✨Tip Number 3
Prepare to discuss specific projects where you've applied statistical modeling or machine learning to -omics data. Be ready to explain your thought process and the impact of your work on the outcomes.
✨Tip Number 4
Showcase your ability to communicate complex data findings clearly. Practice explaining your previous work to a non-technical audience, as this skill is crucial for collaboration within interdisciplinary teams.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist (m/f/d) or Bioinformatician (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist or Bioinformatician position. Understand the key responsibilities and qualifications required, especially focusing on skills in machine learning, statistical modeling, and data visualization.
Tailor Your Cover Letter: Craft a personalized cover letter that highlights your relevant experience in Data Science or Bioinformatics. Mention specific projects where you applied computational methods or machine learning techniques, and how they relate to the responsibilities outlined in the job description.
Highlight Relevant Skills: In your resume, emphasize your proficiency in programming languages like R and Python, as well as your experience with -omics datasets. Include any relevant academic achievements, publications, or collaborative projects that demonstrate your ability to work in interdisciplinary teams.
Proofread Your Application: Before submitting, carefully proofread your cover letter and resume for any grammatical errors or typos. Ensure that your documents are clear, concise, and professionally formatted. A polished application reflects your attention to detail and professionalism.
Wie du dich auf ein Vorstellungsgespräch bei Universitätsklinikum Augsburg A.ö.R. vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like R and Python. Highlight specific projects where you've applied machine learning or statistical modeling, especially in analyzing -omics data.
✨Demonstrate Collaboration Experience
Since the role involves working with interdisciplinary teams, share examples of past collaborations. Discuss how you contributed to team projects and how you communicated findings effectively.
✨Prepare for Behavioral Questions
Expect questions about your ability to work independently and as part of a team. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear examples.
✨Communicate Clearly in English or German
Since proficiency in English or German at the C1 level is essential, practice discussing your research and technical concepts in both languages. This will demonstrate your communication skills and adaptability.
