Snr Scientist, Bioinformatics

LIFE TECHNOLOGIES HOLDINGS PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading bioinformatics firm in Singapore is seeking a Snr Scientist, Bioinformatics to contribute to the development and maintenance of computational pipelines and workflows. The successful candidate will have a PhD in Bioinformatics or related field, strong programming skills in Python and C/C++, and experience with bioinformatics pipeline automation. This role involves collaboration with bioinformatics scientists and engineers in a fast-paced R&D environment.

Qualifications

• 3+ years of relevant experience with PhD or 5+ years with MS.
• Experience in workflow automation using Python and Linux.
• Hands-on experience with sequence data analysis.

Responsibilities

• Develop and optimize bioinformatics pipelines for large-scale assays.
• Build Python-based tools and support SQL databases.
• Collaborate with internal teams to align pipeline outputs.

Skills

bioinformatics pipeline development

Python

C/C++

Linux environments

relational databases

genomics data analysis

statistical libraries

Education

PhD in Bioinformatics or related field

MS in Bioinformatics or related field

Tools

PostgreSQL

MySQL

Docker

AWS

Job description

Snr Scientist, Bioinformatics

Work Schedule: Standard (Mon–Fri)
Environmental Conditions: R&D Office

Position Summary

The Snr Scientist Bioinformatics will contribute to the design, development, and maintenance of computational pipelines, algorithms, databases, and infrastructure supporting assay development and genomic analysis. This role focuses on building and updating automated workflows that implement algorithms for qPCR applications. The successful candidate will collaborate closely with bioinformatics scientists, software engineers, and molecular biologists to ensure seamless integration of computational methods with experimental workflows.

Primary Responsibilities

• Develop, maintain, and optimize bioinformatics pipelines and workflow automation for large-scale assay development.
• Build and support Python-based tools, C/C++ algorithms, and SQL databases used in assay design and data analysis.
• Perform and optimize sequence data analysis workflows for variant detection, indel identification, and alignment using tools like ClustalW, BLAST, BWA, or comparable methods.
• Collaborate with internal teams to align pipeline outputs with laboratory processes and data systems.
• Maintain version-controlled repositories, documentation, and reproducibility across computational workflows.
• Participate in the publication or productization of developed algorithms, pipelines, or tools.

Required Qualifications

• PhD in Bioinformatics, Computational Biology, Computer Science, or a related field with 3+ years of relevant experience, or MS with 5+ years of relevant experience.
• Proven experience in bioinformatics pipeline development and workflow automation using Python and Linux environments. Experience developing or maintaining bioinformatics tools or algorithms that have been published or released as software products.
• Strong programming skills in C/C++ and scripting for algorithm optimization.
• Hands-on experience with relational databases (PostgreSQL, MySQL, or equivalent) including schema design, query optimization, and data integration.
• Demonstrated understanding of genomics data analysis, including sequence alignment, indel calling, and variant annotation.
• Familiarity with biological databases (NCBI, COSMIC, UCSC Genome Browser, etc.).
• Proficiency with statistical and data science libraries (NumPy, SciPy, Pandas, scikit-learn, etc.).
• Excellent problem-solving and debugging skills with attention to scalability and reproducibility.
• Ability to collaborate effectively in a multi-disciplinary, distributed work environment.
• Background in assay development or computational biology applications.

Preferred Qualifications

• Working knowledge of Nextflow, Snakemake, WDL, or similar workflow management systems.
• Familiarity with containerization (Docker, Singularity) and CI/CD practices for pipeline deployment.
• Implement and manage cloud-based infrastructure (AWS preferred) to support scalable and reproducible computational workflows.
• Experience deploying and maintaining computational workflows on cloud infrastructure (AWS or similar).
• Experience optimizing workflows for high-performance computing (HPC) or cloud-native architectures.

At Thermo Fisher Scientific, each one of our 70,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer. Apply today http://jobs.thermofisher.com

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.