Data SCIENTIST (f/m/d), Part-time or Working Student

  • Apollo Ventures
  • Homeoffice-Coaching, Tacitusstraße, Cologne, Germany
  • 08/08/2022
Full time Data Science Big Data Data Management Biostatistics DevOps

Job Description

Job details

Job Type
Part-time

Full Job Description

Company Description

Apollo Health Ventures (www.apollo.vc) is a biotech venture capital firm with offices in Berlin and Boston, that features venture creation as a cornerstone of its investment approach. Apollo is unique among investment firms due to its focus on a specific field of scientific discoveries – the Biology of Aging. Together with leading scientists who are investigating the molecular and cellular processes of aging, Apollo conceptualizes and builds innovative companies.

Job Description

A Swiss-based high-profile, new Apollo venture creation, start-up company is embarking on an exciting journey to discover a new treatment modality for aging. Enabled by cutting-edge technology from a top university and funding from Apollo, this project offers unique opportunities for innovation and impact, and has tremendous potential to grow in a few years. We are looking for a talented and passionate data scientist to join the current small and diverse team of biologists and data scientists, working 20hrs /week part time or as a working student, closely together to leverage artificial intelligence for biomedical imaging data and innovate drug discovery.

Responsibilities

  • Integrated team member with a strong sense of ownership

  • Contribute to experimental design to enable advanced data analysis

  • Innovate and implement machine learning and deep learning methods, and apply to biomedical imaging data

  • Present and discuss with team members and jointly draw conclusions and design next steps

Qualifications

  • Master or recent PhD in bioinformatics, computational biology, computer science or related quantitative disciplines

  • Extensive hands-on experiences with biomedical image analysis including segmentation, feature extraction, classification, and clustering

  • Extensive hands-on experiences with deep neural network method development, implementation, and optimization

Nice to have

  • Tissue histology image analysis experiences

  • Cellular microscopy image analysis experiences

  • Cloud computing (e.g., AWS) experiences

Location: Switzerland, alternatively home office based possible.