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Staff Research Engineer (f/m/x)

Helmholtz Zentrum München - Institute of AI for Health (AIH)

Our mission as research center: Discover personalized medical solutions for environmentally triggered diseases to promote a healthier society in a rapidly changing world.

In the Systems Genetics and Machine Learning Lab at the Institute of AI for Health (AIH) and the Helmholtz Pioneer Campus, we develop and apply machine learning solutions to analyse large clinical and molecular datasets addressing fundamental biomedical questions such as: Which are the molecular, cellular and organ-level traits associated with disease? Which ones are causative? Do they manifest in specific patient groups? Can we find interventions to revert these processes? We aim to leverage large biomedical cohorts and scalable machine learning approaches to further our understanding of human disease.

Given our strong focus on data integration, scalability, and robustness, our research requires computational tools and infrastructure to enable reproducible machine learning experimentation and efficient data handling. As Staff Research Engineer (f/m/x) in the lab, you will be developing these tools, working at the interface of software engineering and data science, enabling researchers to be more productive.

Staff Research Engineer (f/m/x)      101612
Your responsibilities

Examples of specific job responsibilities are:

  • Develop frameworks for running and tracking machine learning experiments
  • Scale machine / deep learning models to big data settings
  • Build and maintain workflows for the ingestion, preprocessing, and analysis of molecular and clinical datasets
  • Ensure secure and efficient data handling to enable scalable data analyses

As an ideal candidate for this role you have significant software engineering skills while also having experience conducting machine learning research. Moreover, you feel eager about the opportunity of working in a cutting-edge scientific environment and contributing to impactful research outcomes.

Your qualifications
  • PhD in computer science, statistics, mathematics, physics or engineering, and scientific track record
  • Strong programming skills in Python, R, Bash, and Git
  • Familiarity with cloud computing services (e.g., AWS or GCP) and workflow management tools or batch scheduling systems (e.g. Slurm)
  • Knowledge in machine / deep learning with experience training neural networks in PyTorch (e.g., familiarity with distributed training)
  • Proficient in English
Beneficial Qualifications
  • Experience working with large-scale genomic data (e.g. UK Biobank, TOPMED, UK10K, etc.)
  • Experience with C / C++ or other compiled languages
  • Experience with optimising datasets and file formats for ML use cases (e.g. HDF5, Parquet, Zarr, etc)
  • Strong fundamentals in applied linear algebra and multivariate statistics
  • Experience with database languages (e.g., SQL)

What we offer you

  • Work-life balance
  • Flexible working hours and working-time models
  • Continuous education and training
  • 30 days annual leave
  • On-site health management service
  • Leadership role in software / infrastructure projects
  • Opportunity to contribute to multiple scientific project
  • On-site nursery and holiday care
  • Company pension scheme
  • Discounted public transport ticket

Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment.

Provided that the prerequisites are fulfilled, a salary level up to E 14 is possible. Social benefits are based on the Collective Agreement for the Ppublic Service (TVöD). The position is (initially) limited to two years, under certain circumstances an extension can be arranged.

To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion, and age. Qualified applicants with physical disabilities will be given preference.

If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree. Please request the recognition as early as possible.

We are looking forward to receiving your comprehensive online application:

  • Curriculum vitae
  • Motivation letter: the reason for applying for this position and why you think you are the right candidate to fill this position (one page max)
  • At least two reference contacts
  • Copy of your diploma / degree certificates

Interested?

If you have further questions, simply contact Dr. Christoph Feest, 089 3187-43519, who will be happy to be of assistance.

Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
AI for Health

Ingolstädter Landstraße 1
85764 Oberschleißheim

Total E-Quality Award for excellent gender equality policy for women and men: Helmholtz Munich is particularly committed to promoting professional equality between women and men. It therefore aims to increase the proportion of the underrepresented sex in the respective field.

Helmholtz Munich is part of the Helmholtz Association, Germany’s largest scientific organization. Altogether 43,000 people currently work in its 18 scientific-technical and biological-medical research centers. The Association’s annual budget amounts to around five billion euros.

Location: Neuherbergstraße - Germany
Salary: salary level up to E14
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd June 2022
Expires: 21st August 2022
Job Ref: 101612
   
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