Data Science Intern (AI/ML Research for Ion Chromatography) at Thermo Fisher Scientific

Sunnyvale, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Analytical Chemistry, Scientific InstrumentsIndustries

Requirements

MS degree in Data Science, Computer Science, Electrical Engineering, Analytical Chemistry, or a related field
Strong foundation in machine learning, artificial intelligence, and data analysis
Proficiency in programming languages such as Python, R, or MATLAB
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
Knowledge of ion chromatography or analytical chemistry (plus)
Excellent problem-solving skills and the ability to work independently and as part of a team
Strong communication skills, both written and verbal
Preferred Skills
Experience with data visualization tools (e.g., Tableau, Power BI)
Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud)
Understanding of signal processing and control systems

Responsibilities

Conduct research and development of AI/ML algorithms for processing ion chromatography data
Develop and implement machine learning models to enhance instrument control and data analysis
Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems
Analyze large datasets to identify patterns, trends, and insights that can improve instrument performance
Document research findings and present results to the team
Stay updated with the latest advancements in AI/ML and their applications in analytical instrumentation

Skills

Key technologies and capabilities for this role

PythonRMATLABTensorFlowPyTorchscikit-learnMachine LearningAIData Analysis

Questions & Answers

Common questions about this position

What is the compensation for this Data Science Intern position?

The position offers a competitive stipend and potential for future employment opportunities.

Is this Data Science Intern role remote or onsite?

The role is onsite in Sunnyvale, CA, with office environmental conditions and a standard Monday-Friday schedule.

What skills are required for this Data Science Intern position?

Candidates need an MS degree in Data Science, Computer Science, Electrical Engineering, Analytical Chemistry, or related field, strong foundation in machine learning, AI, and data analysis, proficiency in Python, R, or MATLAB, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.

What is the work environment like at Thermo Fisher Scientific for this internship?

It offers hands-on experience with cutting-edge technology in a dynamic research environment, mentorship from experienced professionals, and collaboration with cross-functional teams.

How should I apply for the Data Science Intern position?

Submit your resume, cover letter, and any relevant work samples or publications to the provided application email or link; knowledge of ion chromatography or analytical chemistry, plus preferred skills like data visualization or cloud platforms, can strengthen your application.

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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