Bioinformatics Scientist: tNGS Panels

AITBIOTECH PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

Broad pipeline ownership

Clinical reporting ownership

Growth opportunities

Small team with impact

Job summary

AITbiotech Pte Ltd in Singapore seeks a Bioinformatics Scientist to own interpretation and reporting across a growing NGS panel menu. You will run pipelines, curate clinical knowledge, and draft reports converting sequencing data into clinical results.

The role involves variant curation across somatic and germline testing, collaboration with the R&D team, and opportunity to grow into a leadership role as the panel menu expands.

Qualifications

• Bachelor’s or Master’s in Bioinformatics, Genetics, Genomics, Molecular biology or a related field.
• 3 to 5 years working experience in related field.
• Experience interpreting NGS variant data with familiarity with somatic/germline tiering.
• Comfortable with Linux command line and scripting (Python, R, bash) to handle and QC data.
• Familiarity with ClinVar, COSMIC, gnomAD, OncoKB and ACMG criteria.
• Clear written English for clinical reports.

Responsibilities

• Run and monitor NGS analysis pipelines across the panel menu and QC samples.
• Use scripts to handle, QC and summarise data; apply pipelines built by R&D team.
• Curate and maintain clinical knowledge base: variant classifications and evidence.
• Draft structured, therapy- or condition-linked reports for review and sign-off.
• Analyse data from validation studies and feed outputs to records maintained by Quality.

Skills

Bioinformatics

NGS variant interpretation

Linux CLI

Python/R/bash

Clinical reporting (English)

Education

Bachelor’s or Master’s in Bioinformatics/Genomics

Tools

ClinVar

COSMIC

gnomAD

OncoKB

Job description

Bioinformatics Scientist: tNGS Panels

AITbiotech Pte Ltd ·Singapore · Full-time · Bachelor or MSc level

About the role

At AITbiotech we develop molecular diagnostics and genomics solutions, and we are building a growing menu of targeted NGS panels that run on our benchtop abSEQ sequencer with on-site analysis and reporting: solid-tumour profiling with hereditary cancer, inherited cardiac disease, a large comprehensive cancer panel and infectious disease.

Our R&D team builds the analysis pipelines and the AI behind them. We are looking for a scientist to own the layer on top: run those pipelines across the whole panel menu, curate the clinical knowledge base, interpret and classify variants and draft the reports that turn sequencing data into a clinical result.

This is a cross‑panel role in a small team. You will work with the R&D Director who leads pipeline and AI development, with the laboratory team and Quality, and with a clinician advisor who signs out cases. If you enjoy variant interpretation and curation and want breadth across somatic and germline testing rather than a single assay, this is that role.

Key Responsibilities

Analysis and QC across the panel menu

• Run and monitor the NGS analysis pipelines on the abSEQ platform and on‑site software across the panel menu, and check run‑and‑sample‑level QC, flagging and following up failures.

• Use scripts (Python, R or bash) to handle, QC and summarise data. The pipelines themselves are built and maintained by the R&D team, so this is applying and configuring them, not developing them.

Variant curation and interpretation

• Curate and maintain the clinical knowledge base: variant classifications, gene‑disease and variant‑drug evidence, kept current with guidelines and the literature.
• Tier somatic variants (CAP/AMP/ASCO) for tumour profiling and classify germline variants (ACMG/AMP) for hereditary cancer and inherited cardiac testing.
• Draft structured, therapy‑linked or condition‑linked reports for review and sign‑off by a qualified professional.

Validation support

• Analyse and tabulate data from analytical and clinical validation studies across panels (concordance, limit of detection, precision) and investigate discordances with orthogonal methods.
• Provide the analysis outputs and summaries that feed the validation and design‑control records, which Quality maintains.

Continuous improvement

• Feed interpretation and QC findings back to the R&D team to improve the pipelines, the AI and the knowledge base.
• Maintain analysis records, interpretation versioning and traceability.

What we’re looking for

Essential

• Bachelor’s or Master’s in Bioinformatics, Genetics, Genomics, Molecular biology or a related field.
• 3 to 5 years working experience in related field.
• Experience interpreting NGS variant data: comfortable with coverage, variant allele fraction and variant evidence, with familiarity with somatic tiering (CAP/AMP/ASCO) and/or germline classification (ACMG/AMP).
• Comfortable on the Linux command line and running bioinformatics tools and pipelines, and able to use Python, R or bash to handle and QC data (building pipelines is the R&D team’s job).
• Familiarity with variant databases and resources such as ClinVar, COSMIC, gnomAD, OncoKB and the ACMG criteria.
• Accurate, methodical and well‑documented work and clear written English for clinical reports.

Advantageous, not required

• Clinical or diagnostic variant curation or reporting experience.
• Both somatic and germline interpretation.
• Oncology, hereditary cancer or inherited cardiac genetics.
• Experience with MGI or Illumina data, hybrid‑capture panels, FFPE and cell‑free DNA.
• Exposure to ISO 15189 or ISO 13485 or regulated clinical reporting.

What you get

• Breadth across a whole pipeline. Solid‑tumour profiling, hereditary cancer, inherited cardiac disease, a large comprehensive cancer panel and infectious disease rather than one assay.
• You own interpretation and reporting. Your work turns sequencing into a clinical result while the R&D team builds the pipelines and AI behind you.
• Room to grow. Scope to become the clinical‑genomics and reporting lead as the panel menu expands.
• Small company, real decisions and a short distance between your work and whether a result reaches a patient.