206 Genomics jobs in the United Kingdom

Role Summary: We are seeking a scientist to act as a key connector of our AI Genomics research models (AlphaGenome , AlphaMissense ) with the global scientific community. You will be responsible for ensuring users can achieve maximum impact by fostering community adoption, gathering expert feedback to guide future development, and identifying novel applications. This role requires a blend of deep genomics expertise and strong technical communication skills. You will work closely with our Research, Product, and Partnership teams to bridge the gap between our foundational models and their real-world application in research.

Duration: 12 months ideally (minimum 6-month engagement considered)

Core Responsibilities:

Scientific Community Engagement & Support:

• Develop and deliver technical workshops, presentations, and training materials to users of AlphaGenome at scientific conferences.
• Develop clear documentation, tutorials, and best-practice guides for a technical audience.
• Manage and contribute to technical user inquiries and foster a collaborative user community.

Feedback Synthesis & Research Application:

• Synthesise community feedback and technical challenges on using AlphaGenome into insights that guide our internal research and product development
• Conduct literature reviews and engage with the community to identify high-impact or novel applications of our technologies.

Impact Dissemination:

• Collaborate with researchers to develop technical case studies and scientific use cases demonstrating the utility and impact of our models.
• Partner with internal teams (Communications, Policy, etc.) to ensure the scientific accuracy and integrity of external-facing case studies and materials.

Ideal Candidate Profile:

• Core Scientific Expertise: A strong background in genomics, bioinformatics, computational biology, or a related field is essential (e.g., PhD or equivalent research experience). You have hands-on experience using computational tools and AI/ML models to solve biological problems.
• Technical Communication: Proven ability to communicate complex scientific and computational concepts. clearly and accurately to diverse technical audiences. Experience in giving technical talks, running workshops, or developing documentation is highly valued.
• Researcher Empathy: A deep understanding of the academic research environment, including the challenges, motivations, and workflows of our target users.
• Collaborative & Proactive: Demonstrable experience working effectively across interdisciplinary teams.

Role Summary: We are seeking a scientist to act as a key connector of our AI Genomics research models (AlphaGenome , AlphaMissense ) with the global scientific community. You will be responsible for ensuring users can achieve maximum impact by fostering community adoption, gathering expert feedback to guide future development, and identifying novel applications. This role requires a blend of deep genomics expertise and strong technical communication skills. You will work closely with our Research, Product, and Partnership teams to bridge the gap between our foundational models and their real-world application in research.

Duration: 12 months ideally (minimum 6-month engagement considered)

Core Responsibilities:

Scientific Community Engagement & Support:

• Develop and deliver technical workshops, presentations, and training materials to users of AlphaGenome at scientific conferences.
• Develop clear documentation, tutorials, and best-practice guides for a technical audience.
• Manage and contribute to technical user inquiries and foster a collaborative user community.

Feedback Synthesis & Research Application:

• Synthesise community feedback and technical challenges on using AlphaGenome into insights that guide our internal research and product development
• Conduct literature reviews and engage with the community to identify high-impact or novel applications of our technologies.

Impact Dissemination:

• Collaborate with researchers to develop technical case studies and scientific use cases demonstrating the utility and impact of our models.
• Partner with internal teams (Communications, Policy, etc.) to ensure the scientific accuracy and integrity of external-facing case studies and materials.

Ideal Candidate Profile:

• Core Scientific Expertise: A strong background in genomics, bioinformatics, computational biology, or a related field is essential (e.g., PhD or equivalent research experience). You have hands-on experience using computational tools and AI/ML models to solve biological problems.
• Technical Communication: Proven ability to communicate complex scientific and computational concepts. clearly and accurately to diverse technical audiences. Experience in giving technical talks, running workshops, or developing documentation is highly valued.
• Researcher Empathy: A deep understanding of the academic research environment, including the challenges, motivations, and workflows of our target users.
• Collaborative & Proactive: Demonstrable experience working effectively across interdisciplinary teams.

• Lead the design, development, implementation, and maintenance of scalable bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Analyse and interpret complex genomic and transcriptomic datasets to identify genetic variants, gene expression patterns, and other biologically relevant insights.
• Collaborate closely with biologists, geneticists, clinicians, and computational scientists to define project goals and analytical strategies.
• Develop and apply statistical and machine learning methods for genomic data analysis.
• Ensure the quality, reproducibility, and documentation of all bioinformatics analyses and workflows.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
• Mentor and guide junior bioinformaticians and data analysts.
• Contribute to research proposals, grant applications, and publications.
• Manage data storage, processing, and computational resources effectively.
• Present findings to scientific teams and external collaborators.

• PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
• Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
• Extensive experience with NGS data processing and analysis pipelines (e.g., BWA, GATK, STAR, Salmon).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Strong knowledge of statistical methods and machine learning techniques applicable to genomics.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity) is highly desirable.
• Proven ability to manage complex projects and lead a small team.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with a track record of publications.
• Ability to work independently and collaboratively in a remote research environment.

• Design, execute, and interpret complex molecular biology experiments.
• Lead and manage research projects from conception to publication.
• Develop and optimise novel experimental techniques and protocols.
• Analyse and interpret experimental data using appropriate statistical methods.
• Troubleshoot experimental issues and identify effective solutions.
• Contribute to the writing of research papers, grant proposals, and reports.
• Mentor and supervise junior researchers, technicians, and students.
• Ensure adherence to laboratory safety regulations and best practices.
• Collaborate effectively with internal and external research collaborators.
• Present research findings at national and international scientific conferences.

• Ph.D. in Molecular Biology, Genetics, Biochemistry, or a related life sciences discipline.
• Substantial postdoctoral research experience with a strong publication record in peer-reviewed journals.
• Expertise in a broad range of molecular biology techniques (e.g., qPCR, cloning, cell culture, protein analysis, gene editing).
• Proven experience in experimental design, data analysis, and interpretation.
• Strong understanding of current research trends in molecular biology.
• Excellent written and verbal communication skills.
• Demonstrated leadership and mentorship abilities.
• Ability to work independently and collaboratively in a team environment.

Nuclera is a venture-backed biotech company headquartered in Cambridge, UK with significant operations in Boston, USA. Nuclera’s mission is to accelerate discovery by enabling rapid, easy access to functional proteins essential for drug discovery research. Our eProtein Discovery™ benchtop system accelerates protein expression and purification optimization in research labs.

This is a lab-based role within a group central to Nuclera’s technology development program that will be conducted in close collaboration with colleagues from other groups in the company. A key aspect of this role will be to support development and optimization of new capabilities of our platform.

The role would suit a candidate with excellent communication and organization skills, with a drive for working in a fast-paced biotech environment and a track record of execution and teamwork. Experience in molecular biology, protein expression and characterisation is essential. 

This role will be based in the Cambridge, UK site and is on-site in the lab. 

About the role

• Design, execute, and troubleshoot PCR, DNA assembly and protein expression with guidance from senior members of the group.
• Able to work on multiple  projects in parallel.
• Actively engage in scientific discussion within the group and across groups to contribute to robust product development.
• Follow SOPs to independently execute and analyze experiments
• Report results in a timely manner and maintain good laboratory practices.

Requirements

Essential:

• MSc or PhD in Molecular Biology, Biochemistry, or a related field,
• 2–4 years of relevant industry experience for MSc graduates, or at least 1 year of industry experience for PhD holders.
• Track record of delivering robust data and high-quality results within tight timelines
• Solid understanding of recombinant DNA technology and extensive experience with gene expression in prokaryotic systems
• Experience with common molecular biology techniques, including PCR, DNA assembly using PCR and Gibson assembly, gene cloning and agarose gel electrophoresis
• Extensive experience of nucleic acid manipulation (DNA and RNA) for assay and application development (e.g. NGS library prep, NGS application development, synthetic biology applications or expression construct design)
• Proficiency with DNA analysis software such as SnapGene/Benchling/Vector NTI.
• Experience with common protein expression and purification techniques, including affinity purification, SDS-PAGE gel electrophoresis, protein quantification
• A collaborative team player with a positive can-do attitude
• Strong problem solving capabilities, clear communication and presentation skills
• Self-motivated interest in Nuclera’s technology.

Desirable:

• Previous working experience in the pharmaceutical, CRO, and/or biotechnology industry would be advantageous.
• Understanding the principles of cell-free protein synthesis technologies
• Expression and purification of antibodies in E.coli/mammalian cells.
• Some knowledge of protein assays, characterisation and functional properties (e.g. solubility, aggregation properties, activity)

Benefits

What we offer:

In addition to competitive salaries, we offer a range of benefits including:

• Company bonus scheme of 5%

• Share option incentive scheme 
• Life insurance 
• Private medical insurance and cash plan 
• 25 days' annual leave + Bank Holidays 
• Enhanced employer's pension contributions 
• Enhanced maternity and paternity Leave 
• Investment in professional development and learning 
• Fresh fruit, tea, coffee, and snacks in the office 
• Organised summer events for staff