31609 - Research Scientist – Molecular Ecology

www.findapprenticeship.service.gov.uk - Jobboard; United Kingdom; On-site; GBP 35,000 - 50,000; Full time

Job summary

A government environmental agency in the UK seeks a skilled molecular ecologist to leverage data science for environmental research. You will design research projects, analyze molecular datasets, and communicate findings to diverse stakeholders. Ideal candidates have a relevant advanced degree, strong skills in bioinformatics, and proficiency in Python or R. A commitment to inclusivity is essential, along with the ability to work independently and collaboratively.

Qualifications

• Strong understanding of how molecular technologies assess ecological communities.
• Proven skills in bioinformatic analysis of metabarcoding/metagenomic data.
• Experience in designing, conducting and managing research projects.

Responsibilities

• Designing, conducting and managing research projects.
• Analysing and interpreting large molecular datasets.
• Networking and influencing within government and research community.

Skills

Molecular technologies

Data science expertise

Bioinformatics

Proficiency in Python

Proficiency in R

Research project management

Communication skills

Education

PhD, MRes, MSc or equivalent in relevant field

Tools

Statistical analysis packages

Job description

The Environment Agency are fully committed to having an inclusive workforce to reflect the communities we serve. We don't just talk about diversity; we seek it, embrace it, and live it, for the benefit of our staff, our communities, and our environment.

Do you want to use your scientific skills to support the Environment Agency’s work to create a better place for people, wildlife and the environment?

This is an exciting opportunity for a skilled and enthusiastic molecular ecologist with strong data science expertise to join our dynamic team. A core aspect of our research involves applying molecular technologies to understand the composition and function of biological communities in aquatic ecosystems from bacteria to higher organisms. In this role, you will use your expertise in molecular ecology and data science to help shape the strategic direction of our research. You will also translate scientific findings into practical tools and actionable information to address environmental challenges and enhance the monitoring and management of environmental change.

As a self-assured research scientist with excellent oral and written communication skills you will be able to engage with a wide range of senior stakeholders. You will work closely with colleagues across the Environment Agency and with partners across Central Government Departments to develop, manage and deliver research on molecular technologies.

You will build and maintain strong links with national and international research groups and influence wider research agendas.

Key responsibilities include:

• Designing, conducting and managing research projects.
• Analysing and interpreting large molecular datasets and communicating findings to specialist and non-specialist audiences.
• Networking and influencing both internally within the Environment Agency and externally across government and the wider research community.

The team

The Climate Change and Resource Efficiency team is part of the Environment Agency Chief Scientist’s Group, which delivers the evidence and analysis to underpin our regulation and advice.

The 13 strong team brings leading expertise in climate impacts and adaptation, molecular ecology and the management of waste.

With strong links to academia and Central Government Departments, we commission and apply scientific research to help the Environment Agency address current and future environmental challenges more effectively.

Experience/skills required

This is a scientific role undertaking research and providing technical support to others and you will be able to demonstrate the following:

•A relevant degree and likely to have a PhD, MRes, MSc or equivalent.
•A strong understanding of how molecular technologies can be used to assess ecological communities in the environment.
•Proven skills in bioinformatic analysis of metabarcoding and/or metagenomic data.
•Proficiency in Python and/or R, with experience using statistical analysis packages to analyse large ecological datasets and interpret complex findings.
•Ability to work independently as well as collaboratively, to make decisions and solve problems.
•Experience in designing, conducting and managing research projects.
•Ability to communicate complex concepts and results to non-specialist audiences.
•A curious, open, and inclusive mindset, with a commitment to Equality, Diversity, and Inclusivity

Other desirable skills include:

•Knowledge of fish and/or macroinvertabrate ecology.
•Knowledge of marine DNA techniques.