Relation

2 weeks ago

Senior Research Assistant / Research Assistant - Genomics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Apply single-cell genomics to large perturbation screens, running end-to-end RNA-seq and ATAC-seq workflows from cell input through QC-passing sequencing-ready libraries. Generate single-cell library workflows using droplet microfluidics and/or combinatorial-indexing scRNAseq/scATAC-seq, and work with automation engineers to port manual processes to automated platforms. Maintain LIMS/ELN traceability via disciplined metadata and author SOPs and experimental records.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Run single-cell RNA-seq and ATAC-seq workflows end-to-end from cell input through sequencing-ready libraries.
•Process single-cell sequencing libraries to a consistent, QC-passing standard from preparation through library readiness.
•Partner with automation engineers to port manual single-cell and library prep workflows onto automated systems.
•Maintain chain-of-custody for genomics samples, plate maps, and metadata capture in LIMS/ELN for traceability.
•Interface with computational/ML teams on library design, demultiplexing logic, expected outputs, and metadata schema.

Key Requirements

•Bachelor's or Master's degree in a relevant Life Sciences discipline with 2+ years of additional experience in industry or an academic genomics core facility.
•Hands-on expertise in single-cell genomics library generation using droplet microfluidics and/or combinatorial-indexing methods; scATAC-seq or other epigenomic methods are a plus.
•Familiarity with NGS operations and library QC; Illumina sequencing is essential (Ultima or other platforms are a plus).
•Strong cross-functional coordination skills, including effective collaboration with computational/ML colleagues.
•Knowledge of QC, batch-effect, and experimental-design considerations for downstream usability.

Experience:2+ years

Education:Bachelor's in Life Sciences (relevant)

Skills:Cross-functional coordinationOwnershipCommunicationCollaborationResilience

Tech Stack:Single-cell RNA-seqATAC-seqDroplet microfluidicsCombinatorial-indexingScRNAseqScATAC-seqNGSIlluminaUltimaLIMSELNBenchlingPlate mapsDemultiplexingAutomation platformsSOPsLibrary QC

Company Brief

Relation

Relation (Relation Therapeutics) is a UK-based, technology-enabled biopharmaceutical company that combines single-cell multi-omics, patient-derived tissue, functional assays and machine learning to discover and develop novel therapeutics across immunology, metabolic and bone diseases.

Industry: Biotech

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: USD 100M to 250M

Funding: Seed

Headquarters: London, United Kingdom

Founded: 2019

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Relation

2 weeks ago

Senior Research Assistant / Research Assistant - Genomics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Seniority: Mid level

Key Responsibilities

•Run single-cell RNA-seq and ATAC-seq workflows end-to-end from cell input through sequencing-ready libraries.
•Process single-cell sequencing libraries to a consistent, QC-passing standard from preparation through library readiness.
•Partner with automation engineers to port manual single-cell and library prep workflows onto automated systems.
•Maintain chain-of-custody for genomics samples, plate maps, and metadata capture in LIMS/ELN for traceability.
•Interface with computational/ML teams on library design, demultiplexing logic, expected outputs, and metadata schema.

Key Requirements

•Bachelor's or Master's degree in a relevant Life Sciences discipline with 2+ years of additional experience in industry or an academic genomics core facility.
•Hands-on expertise in single-cell genomics library generation using droplet microfluidics and/or combinatorial-indexing methods; scATAC-seq or other epigenomic methods are a plus.
•Familiarity with NGS operations and library QC; Illumina sequencing is essential (Ultima or other platforms are a plus).
•Strong cross-functional coordination skills, including effective collaboration with computational/ML colleagues.
•Knowledge of QC, batch-effect, and experimental-design considerations for downstream usability.

Experience:2+ years

Education:Bachelor's in Life Sciences (relevant)

Skills:Cross-functional coordinationOwnershipCommunicationCollaborationResilience

Tech Stack:Single-cell RNA-seqATAC-seqDroplet microfluidicsCombinatorial-indexingScRNAseqScATAC-seqNGSIlluminaUltimaLIMSELNBenchlingPlate mapsDemultiplexingAutomation platformsSOPsLibrary QC

Company Brief

Relation

Industry: Biotech

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Valuation: USD 100M to 250M

Funding: Seed

Headquarters: London, United Kingdom

Founded: 2019

Glassdoor: 3.8

Website LinkedIn Glassdoor