APPLIED GENOMICS  Salary

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UNIT A GREENGATES WAY HOVETON NORWICH NR12 8ED ENGLAND
TIN: 09180742
 IT-Services
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APPLIED GENOMICS
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APPLIED GENOMICS is looking for employees for positions:

data scientist

  • data scientist

Working hours

  • full-time | Permanent

Benefits

  • profit sharing

Responsibility

  • apply advanced data analysis techniques to extract meaningful insights from large-scale eDNA datasets
  • develop and implement innovative algorithms and statistical models to analyze eDNA data and identify patterns and trends
  • collaborate with interdisciplinary teams to design and execute research projects aimed at understanding and monitoring biodiversity using eDNA
  • manage and optimize databases to efficiently store and retrieve eDNA data
  • work closely with field scientists and technicians to ensure accurate collection, storage, and processing of eDNA samples
  • stay up to date with the latest advancements in eDNA technology and data science methodologies to continuously enhance our analytical capabilities
  • present findings and results to internal stakeholders, clients, and at scientific conferences
  • utilize multiple programming languages , with a solid understanding of Git and Docker to organise, clean, preprocess, analyze, interpret and visualise eDNA data

Requirements

  • A Master's degree or demonstrable equivalent experience in Data Science, Quantitative Ecology, Applied Mathematics, Bioinformatics, or a related field
  • strong expertise in data analysis, statistical modeling, and machine learning algorithms
  • experience with database management systems and SQL for efficient data storage, retrieval, and manipulation
  • familiarity with ecological concepts and biodiversity assessment methods is highly desirable
  • excellent problem-solving skills and the ability to work independently and as part of a collaborative team
  • strong communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences
  • prior experience working with eDNA datasets or in the field of environmental genomics is a plus
  • proficiency in multiple programming languages, such as Python, R, php and Java, with a demonstrated ability to develop and implement data analysis pipelines using version control and containerisation methodologies

Education

  • master's