Thermo Fisher Scientific

Staff Engineer, AI/ML Algorithms Operations

Singapore

Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Pharmaceuticals, Scientific Research, HealthcareIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Sciences, Mathematics, or Statistics, and a Master’s degree is highly preferred. They must have at least 3 years of experience in developing and deploying machine learning models, along with proficiency in Python and relevant machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. Familiarity with data preprocessing and large-scale genomics datasets is also required.

Responsibilities

The Staff Engineer, AI/ML Algorithms Operations will design and develop robust deep learning models for use in genomics, image processing, and time-series analysis. They will develop and implement data processing pipelines for large-scale genomics datasets, optimize model performance for real-world scenarios, and collaborate with multi-functional teams to deploy scalable AI solutions and integrate AI models into customer-facing applications. Additionally, they will implement automated testing and monitoring systems, and present technical findings to team members and partners.

Skills

Python
TensorFlow
PyTorch
scikit-learn
Machine Learning
Deep Learning
Data Processing Pipelines
Genomics
Image Processing
Time-Series Analysis
AI
Generative AI

Thermo Fisher Scientific

Provides life sciences products and services

About Thermo Fisher Scientific

Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.

Waltham, MassachusettsHeadquarters
1956Year Founded
$17MTotal Funding
IPOCompany Stage
Biotechnology, HealthcareIndustries
10,001+Employees

Risks

Increased competition in single-use bioprocessing may impact market share.
Sale of anatomical pathology business could create a temporary product gap.
Investment in miDiagnostics may face regulatory challenges affecting returns.

Differentiation

Thermo Fisher offers a comprehensive range of life sciences products and services.
Their well-known brands include Thermo Scientific, Applied Biosystems, and Invitrogen.
They provide strong customer support and educational resources to optimize client workflows.

Upsides

Expansion of biologics production facility enhances capacity for precision biologics monitoring.
Investment in miDiagnostics aligns with demand for rapid diagnostic solutions in BioPharma.
Collaboration with Mainz Biomed positions them in the growing cancer detection market.

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