Quantitative Ecologist / Data Scientist

About us

Applied Genomics is a leading company specializing in advanced genomic solutions and environmental DNA (eDNA) services. With our cutting-edge technologies and expertise, we are at the forefront of revolutionizing ecological assessment and biodiversity monitoring.

Our mission is to harness the power of genomics to unlock critical insights into the natural world, enabling more informed decision-making for conservation and sustainable environmental management. By leveraging the latest advancements in genetic sequencing and bioinformatics, we provide comprehensive eDNA solutions that offer unparalleled accuracy and efficiency in species detection and ecosystem analysis.

At Applied Genomics, we pride ourselves on our commitment to delivering high-quality results and exceptional client service. Our team of experienced scientists, data analysts, and bioinformaticians work collaboratively to design and execute innovative projects tailored to our clients' unique needs. Whether it's assessing species composition in a specific habitat, tracking invasive species, or monitoring ecosystem health, we provide reliable and actionable data-driven solutions.

Key offerings at Applied Genomics include:

Environmental DNA Services: We employ state-of-the-art eDNA techniques to detect and identify species from diverse environmental samples, such as water, soil, and air. Our advanced molecular tools enable highly sensitive and specific detection of target organisms, including rare or elusive species.

Genomic Solutions: Our expertise extends beyond eDNA services. We offer a range of genomic solutions, including DNA sequencing, metagenomics, and population genetics, to address various research and conservation challenges. Through robust data analysis and interpretation, we provide comprehensive insights into biodiversity patterns, species interactions, and genetic diversity.

Consulting and Research Partnerships: Applied Genomics collaborates with academic institutions, government agencies, NGOs, and industry partners on a range of research and consulting projects. Our team of experts offers strategic guidance, study design, and data analysis support to ensure optimal project outcomes.

Technology Development: We are constantly pushing the boundaries of genomic research and technology. Applied Genomics is actively involved in developing and refining innovative tools and techniques for eDNA analysis, enabling faster and more accurate biodiversity assessments.

At Applied Genomics, we are dedicated to advancing the field of genomics and eDNA to enhance our understanding of the natural world and support sustainable environmental stewardship. We are committed to staying at the forefront of scientific advancements, continually refining our methodologies, and delivering actionable insights that empower decision-makers in conservation, ecosystem management, and biodiversity preservation.

Applied Genomics, a leading provider of eDNA services, is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a pioneer in the field, we specialize in utilizing cutting-edge environmental DNA technologies for ecological assessment and monitoring. This is an exciting opportunity to contribute to groundbreaking research and help shape the future of environmental conservation.

Responsibilities:

• 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.
• Utilize multiple programming languages (e.g., Python, R, Java, php), with a solid understanding of Git and Docker to organise, clean, preprocess, analyze, interpret and visualise eDNA data.
• 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.

Qualifications:

• 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.
• 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.
• 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.

Joining our team at Applied Genomics offers a unique opportunity to work at the forefront of eDNA technology and contribute to significant advancements in environmental conservation. We provide a stimulating and supportive work environment where creativity and innovation are valued, and your contributions make a real impact.

If you are a talented and passionate Data Scientist with a strong background in data analysis and programming, and you are excited about applying your skills to the field of eDNA, we encourage you to apply. Please submit your resume, along with a cover letter highlighting your relevant experience and why you are interested in joining our team. We look forward to reviewing your application and discussing how you can contribute to our mission of advancing eDNA services for ecological research and conservation.

Job Types: Full-time, Permanent

Salary: £33,000.00-£38,000.00 per year

Benefits:

• Company pension
• Profit sharing

Schedule:

• Monday to Friday

Ability to commute/relocate:

• Norwich: reliably commute or plan to relocate before starting work (required)

Education:

• Master's (preferred)

Experience:

• R programming: 3 years (required)
• Python programming: 1 year (preferred)
• PHP: 1 year (preferred)
• Git: 3 years (preferred)
• Docker: 1 year (preferred)

Work authorisation:

• United Kingdom (required)

Work Location: In person