Seuss +

Research Data Scientist

7 days left

Company
Seuss +
Location
Netherlands
Salary
Competitive
Posted
24 Sep 2021
Closes
24 Oct 2021
Ref
206206
Hours
Full Time
Contract Type
Permanent
Experience Level
Experienced (non-manager)
Our client is dedicated to bringing innovative therapies or unmet medical needs to patients. In doing so each function is directly or indirectly responsible for the lives of patients. This responsibility should be part of our day-to-day working life by (i) living up to high quality standards and (ii) recognizing the sense of urgency in areas of high medical need.

Place in the organization:
The in vivo core has two functions and responsibilities (a) developing novel therapies for diseases in the liver, brain and heart and (b) technologies for the delivery of the gene therapy to the target organ. Those activities include appropriate proof-of-concept studies as well as the identification of therapeutic target leads.

The group is a major contributor to the quality monitoring of the client's adeno associated virus (AAV)-based products as well as value generator by delivering new technologies and therapeutic targets. Those activities are supporting the whole scope of AAV product development, and have to be recognized as the exploitative start of a project.

As a data scientist you are involved in maintaining the data management system, collect data from in vivo experiments, overseeing the streaming and storage of research data generated both internally by the in vivo biology team and externally by contract research organizations. You are involved in data analysis and reporting, you support the other lab members. You collaborate with the other departments within Research and Development. You work according to the specific needs of the Research Department and Project Groups.

Key result areas (major duties, accountabilities and responsibilities)

  • Designs and executes data collection, streaming, storing, registration, annotation and meta-labeling
  • Be involved in data management and analysis required for research practical work: longitudinal sample collection, in-life observations (including motor and behavioural phenotypic testing, video-tracking, telemetry, electrophysiology, imaging and microscopy), sacrifice, tissue collection and processing, data analysis and writing documentation for internal and external purposes (analysis and recording of data, Benchling ELN, reports, animal well-fare log, etc).
  • Recognizes day-to-day problems and participates in solutions based on standard procedures
  • Communicates the daily work and results obtained to the Head of In Vivo Biology and is able to present the data comprehensively at lab- or research-meetings
  • Performs and supports data analysis, AI- and ML-based meta-analysis and maintaining proper documentation
Qualifications & Skills
  • Master or PhD degree in computer science or biological sciences.
  • Relevant practical experience
  • Image analysis expertise is a plus
  • Familiarity (and preferably first-hand experience) with a broad range of formats of in vivo research data including behavioral video-monitoring and locomotion tracking, EEG, patch-clamp and multichannel electrophysiology, intravital whole-body imaging, in vivo microscopy and microendoscopy.
  • Providing scientific input in internal meetings
  • Organizing a robust communication line to all other relevant function of the organization
  • Organizes appropriate documentation e.g. study plans/reports
  • Good knowledge of the English language (verbal and written)
  • Coding/programming experience (e.g. Python, MATLAB, R, SQL, Java) is a plus
Core competencies
  • Experience to work in a fast changing and demanding environment, willing and able to act pro-actively
  • Hands-on attitude
  • Enthusiastic, able to support other lab members with information Strong analytical skills
  • Detail oriented / eye for detail
  • Good verbal and written communication skills
  • Strong team player
  • Ability to read and keep abreast of technical developments
  • Ability to handle multiple tasks under performance and time-related stress required
  • Ability to explain complex technical issues, question, and answers in writing and orally to persons not familiar with the subject
  • Flexible

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