Bioinformatics Computational Senior Scientist

ThermoFisher Scientific; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading biotechnology company in Singapore is seeking a Senior Bioinformatics Computational Scientist to automate and scale assay design using computational biology and AI/ML. This role enhances the speed and innovation in advancing health-related research and diagnostics. Candidates should have a relevant degree and expertise in bioinformatics and molecular biology. Join a mission-driven organization to make a global impact in science and health.

Benefits

Collaborative global team

Supportive forward-looking environment

Opportunity to advance science and impact lives

Qualifications

• Deep expertise in molecular biology and genomic-based assay technologies.
• Proficiency in building computational pipelines and workflow automation.
• Hands-on experience in applying AI/ML models to biological data.

Responsibilities

• Apply computational biology and AI/ML to automate PCR-based assay design.
• Digitize and automate assay development with robust computational solutions.
• Drive innovation of bioinformatics tools using large language models.

Skills

Computational biology

AI/ML

Molecular biology

Communication

Education

MS degree with 3+ years of experience or PhD in bioinformatics, computational biology, or related field

Tools

Standard bioinformatics tools

Modern ML frameworks

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Job Description

About the Role

We are seeking a highly motivated Senior Bioinformatics Computational Scientist to transform how assays are designed and developed for oncology, infectious disease, and beyond. Your work will accelerate the discovery and development of assays that advance basic research, drug discovery, diagnostics, and plant/animal health globally. By merging computational biology, automation, modern data engineering, and artificial intelligence/machine learning, you will contribute to shaping the future of how biology is done.

In this role, you will:

• Apply computational biology and AI/ML to automate and scale PCR-based assay design for real-time qPCR and digital PCR.
• Digitize and automate assay development by building end-to-end robust computational solutions and pipelines that replace manual processes with efficient, reproducible, and scalable workflows.
• Drive continuous innovation of bioinformatics tools and pipelines by applying large language models and machine learning frameworks to biological data, pioneering new ways.

Qualifications

• MS degree with 3+ years of experience or PhD in bioinformatics, computational biology, computer science, or related field.
• Deep expertise in molecular biology and genomic-based assay technologies.
• Proficiency in building computational pipelines and workflow automation.
• Hands‑on experience in applying AI/ML models, including LLMs, to biological data.
• Proficiency in standard bioinformatics tools and modern ML frameworks
• Strong communicator who thrives both independently and as part of a global, interdisciplinary team.
• Passion for advancing the role of AI in biology to make a measurable impact on human health.

Preferred Qualifications

• Experience in cloud-based model deployment (AWS, GCP, or Azure).
• Background in infectious disease genomics (e.g., SARS-CoV-2, HIV, TB).
• Familiarity with wet‑lab workflows and collaboration with assay development teams.
• Knowledge of assay readout analysis, performance evaluation, and statistical modeling of PCR data.

Why Join Us?

• Collaborate with an interdisciplinary team of scientists, engineers, and innovators across the globe.
• Contribute to a mission-driven organization where your work helps advance science and improve lives worldwide.
• Develop your career in a supportive, forward-looking environment that values both innovation and impact.

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.