[Remote] AI Engineer at Thermo Fisher Scientific

Pennsylvania, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

3 to 5 years in software development, data engineering, or related field
Strong AWS expertise (S3, Lambda, Glue, Redshift, Bedrock preferred)
Proficiency in Python and SQL
Knowledge of microservices, APIs, and modern frameworks
Strong team player with excellent communication and problem-solving skills

Responsibilities

Build and optimize an AI chatbot (NL → SQL) for people analytics
Develop and maintain data pipelines and cloud infrastructure in AWS
Apply AWS Bedrock (6+ months experience preferred) to deliver generative AI solutions
Collaborate within a cross-functional project team to design, test, and deploy tools
Ensure quality, security, and performance across all solutions

Skills

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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