Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Laboratory Setting

Job Description

We are looking for a Scientist III who combines deep molecular biology knowledge with advanced data science skills. This role combines hands-on experimental work with leveraging computational methods, statistical modeling, and machine learning to optimize qPCR assay design, data and accelerate innovation in life sciences.

Key Responsibilities

• Data-Driven Assay Development: Apply statistical and machine learning models to improve qPCR assay design, performance prediction, and troubleshooting.

• Big Data Analysis: Integrate and analyze large datasets from NGS sequencing, qPCR experiments, and customer usage metrics.

• Algorithm Development: Build predictive models for primer/probe performance and assay specificity using Python, R, or similar languages.

• Automation & Pipelines: Develop automated workflows for data processing, visualization, and reporting using cloud-based tools.

• Bioinformatics Integration: Use computational tools for sequence alignment, variant analysis, and primer/probe design.

• Teamwork: Partner with R&D, software engineering, and product teams to embed data science into assay development processes.

• Wet-Lab Experience: Strong background related to wet lab work related to qPCR/dPCR related products such as assay development and/or master mix development.

• Documentation: Maintain reproducible code repositories and prepare technical reports for internal and external collaborators.

Keys to Success:

Education

• Master’s or Ph.D. in Molecular Biology, Bioinformatics, Data Science, Computational Biology, or related field.

Experience:

• 3+ years in bioinformatic data and statistical analysis.

• Prove experience with large data sets and translating results into useable information for project teams or actionable work (i.e. next steps in product development).

• Strong wet lab experience related to qPCR assay development and/or qPCR consumables development (i.e. master mix)

• Experience with bioinformatics tools (Primer3, BLAST) and cloud computing environments.

Knowledge, Skills, Abilities:

• Proficiency in Python, R, JMP, and/or statistical modeling.

• Familiarity with machine learning frameworks (scikit-learn, TensorFlow, or similar).

• Preferred: Knowledge of containerization (Docker), version control (Git), and data visualization libraries.

• Good knowledge of English (written and oral) (level B2 - C1).

We Offer:

• An innovative environment within a rapidly growing international company.

• A hard-working, supportive team and leadership committed to your professional development.

• The opportunity to be part of a dynamic organization and work alongside experienced professionals.

• A competitive salary range of €2891–€4335 gross, depending on experience and competencies.

At Thermo Fisher Scientific, each one of our 120,000 extraordinary colleagues has a unique story to tell.

Apply today! http://jobs.thermofisher.com

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

Compensation

The monthly salary range estimated for this position based in Lithuania is €2 891,67–€4 335,42.