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Thermo Fisher
Thermo Fisher

Leading company in the technology industry

Bioinformatics Scientist, Assay Design and Pipelines

职能设计
级别中级
地点Singapore
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

Python

Bioinformatics

Genomics

Molecular biology

Data Analysis

Problem-Solving

Communication

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description Position Summary

We are seeking a skilled and motivated Bioinformatics Scientist to join our team, specializing in assay and content development for qPCR, dPCR, and CE technologies. The role focuses on delivering high-quality assays on schedule and contributing to the development and maintenance of computational pipelines, databases, and infrastructure to scale assay development. This position requires strong domain knowledge of genomics, PCR-based methods, and proficiency in bioinformatics pipeline development. You will convert biological questions into assay strategies and assign robust primer/probe sets. You will streamline workflows and optimize code for efficiency and scalability. Collaboration with other bioinformatics scientists, product management, and customer support colleagues is essential.

Primary Responsibilities

  • Design, develop, and optimize qPCR assays for various applications, including gene expression, genotyping, copy number analysis, and pathogen detection.
  • Analyze and interpret complex genomic and sequence data to support target selection and assay development.
  • Develop, maintain, and optimize bioinformatics pipelines and workflow automation for large-scale assay development.
  • Maintain version-controlled repositories, documentation, and reproducibility across computational workflows.
  • Participate in the publication or productization of developed algorithms, pipelines, or tools
  • Prepare and present scientific reports and presentations to communicate findings and progress.

Required Qualifications

  • Degree or Masters degree in bioinformatics, Computational Biology, Molecular Biology, Bioinformatics, or related fields. Preferred with 2 years of relevant experience.
  • Strong genomics & molecular biology domain knowledge in at least one of the domains in plants, mammalian, microbial, and oncology systems.
  • Bioinformatics stack: IGV, BLAST, BWA/other aligners; major databases (Gen Bank, Ensembl); experience across genomics, and quantitative data with strong analytical, problem-solving skills.
  • Strong programming for scripting: Advanced Python
  • Teaming & execution: excellent communication; effective cross-functional collaboration; able to work independently and manage multiple projects concurrently.

Preferred Qualifications

  • Familiar in R, additional solid debugging. experience in C/C/Java/Perl/Python/JavaScript/ReactJS;
  • Familiarity with workflow orchestration frameworks (Nextflow, Snakemake, Latch) or cloud computing and high-performance computing environments.
  • Fundamental understanding of assay development, PCR chemistry
  • Familiarity with cancer biology, genetics
  • Experience with other assay development platforms, such as NGS, microarrays, etc.
  • Hands-on experience with qPCR/dPCR instrumentation, assay optimization and validation.

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关于Thermo Fisher

Thermo Fisher

Thermo Fisher Scientific Inc. is an American life science and clinical research company. It is a global supplier of analytical instruments, clinical development solutions, specialty diagnostics, laboratory, pharmaceutical and biotechnology services.

10,001+

员工数

Waltham

总部位置

$200B

企业估值

评价

10条评价

3.5

10条评价

工作生活平衡

2.8

薪酬

3.2

企业文化

4.1

职业发展

2.9

管理层

2.7

65%

推荐率

优点

Great team culture and dynamics

Excellent benefits and health plans

Supportive management

缺点

Heavy workload and frequent overtime

Poor management and lack of direction

Limited advancement opportunities

薪资范围

2,095个数据点

Mid/L4

Mid/L4 · ADVANCED PRODUCT DESIGN SPECIALIST

3份报告

$148,000

年薪总额

基本工资

$126,443

股票

-

奖金

-

$148,000

$148,000

面试评价

3条评价

难度

3.3

/ 5

时长

14-28周

录用率

33%

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Technical Knowledge

Culture Fit