Jobs

Senior Data Scientist – Genomics / Bioinformatics (AI/ML)
Singapore, Singapore
·
On-site
·
Full-time
·
2w ago
Required Skills
Computational biology
AI/ML
Python
Bioinformatics
Pipeline development
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.
*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.
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About Thermo Fisher

Thermo Fisher
PublicThermo 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+
Employees
Waltham
Headquarters
Reviews
3.9
2 reviews
Work Life Balance
3.5
Compensation
2.5
Culture
3.5
Career
4.0
Management
3.0
65%
Recommend to a Friend
Pros
Large company with extensive resources
Structured internship program
Career opportunities in product management
Cons
Low compensation ($22/hour)
High cost of living in location
Expensive housing/rent
Salary Ranges
2,260 data points
Mid/L4
Mid/L4 · Adobe Analytics Launch Developer
1 reports
$137,796
total / year
Base
$105,997
Stock
-
Bonus
-
$137,796
$137,796
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
12%
Experience
Positive 12%
Neutral 63%
Negative 25%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Panel Interview
5
Final Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Industry Specific
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