招聘
Required Skills
Python
Git
Machine Learning
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
Do you combine scientific depth with strong presentation skills? Do you enjoy being in front of customers, building relationships, and turning complex data into clear, compelling insights? We are looking for a Field Bioinformatic Scientist who thrives in a dynamic, customer-facing environment and is excited to represent world-leading proteomic solutions across China and beyond.
The Opportunity
In this field-based role, you will act as a trusted scientific partner to our customers, helping them design studies, interpret proteomics data, and unlock the full value of their research. This is a highly interactive role where you will combine advanced statistical expertise with strong presentation skills and relationship-building capabilities. You will collaborate closely with colleagues in the local China Commercial team and beyond, as well as global colleagues in the Data Science team and engage directly with leading researchers, institutions, and pharma. This role involves regular travel and flexibility to support customer meetings, workshops, and scientific events.
What You Will Do
- Provide expert statistical consultation and advanced data analysis support
- Advise customers on study design and experimental strategy
- Troubleshoot customer datasets and deliver actionable insights
- Lead and participate in customer meetings, workshops, and scientific trainings
- Translate complex analytical concepts into clear, impactful messages
- Facilitate customer adoption and effective use of Olink data enabling long-term success
Who You Are
You are more than technically strong — you are socially confident, adaptable, and thrive in customer-facing environments.
You likely bring:
- MSc or PhD in Bioinformatics, Biostatistics, Computer Science, Molecular Biology, or similar
- Strong experience in advanced statistical analysis within life sciences
- Strong programming skills in R or Python (RMarkdown and Git are a plus)
- Experience with high-throughput data (proteomics and/or genomics preferred)
- A strong analytical mindset and interest in modern statistical methods, including machine learning
And just as importantly:
- Excellent presentation and communication skills (oral and written)
- The ability to explain complex analytics to non-technical audiences
- A collaborative mindset and proven ability to work cross-functionally
- Confidence in engaging and influencing customers
- A proactive, self-driven approach with minimal supervision
- Willingness to travel and work flexible hours to support customer needs
Why Join Us?
You will represent cutting-edge proteomics technology in one of the most exciting scientific markets globally. This is a highly visible role where your expertise, energy, and people skills will directly impact customer success and scientific advancement.
If you are passionate about science, energized by customer interaction, and motivated by making a real-world impact — we would love to hear from you.
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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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