Engineer I, Software at Thermo Fisher Scientific

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Life Sciences, Biotechnology, Scientific ResearchIndustries

Requirements

Strong proficiency in Python, with focus on both data engineering (pandas, PySpark, Databricks) and AI (transformers, LLM frameworks)
Good understanding of SQL and ability to work with relational and non-relational data
Familiarity with cloud platforms (AWS, Azure, or GCP) and data lake/warehouse concepts
Exposure to Generative AI tools and frameworks (e.g. LangGraph, LangChain, OpenAI APIs)
Awareness of prompt engineering, fine-tuning, embeddings, and LLM evaluation
Familiarity with BI/visualization tools (Power BI, Tableau, or similar)
Understanding of modern practices like DataOps, MLOps, and AI/GenAI Ops
Strong analytical and problem-solving skills with ability to handle ambiguity
Excellent written, verbal, and interpersonal communication skills
Ability to work effectively with global teams across multiple regions and time zones
Curiosity to learn and apply emerging data engineering and Generative AI technologies

Responsibilities

Perform data analysis, exploration, and preparation to support business use cases
Design and develop data pipelines in Python/Databricks and work with cloud data platforms
Apply Generative AI techniques to build prototypes, create insights, and enhance solutions
Collaborate with cross-functional teams to understand requirements and translate them into data-driven/AI-driven outcomes
Conduct unit testing, validation, and data quality checks for datasets, pipelines, and AI outputs
Design and develop RESTful APIs to enable communication between different software components
Follow agile and DevOps practices for continuous development, testing, and deployment
Contribute to data governance, documentation, and best practices for sustainable data and AI solutions

Skills

Python

Databricks

Generative AI

Data Pipelines

RESTful APIs

Agile

DevOps

Data Analysis

Cloud Data Platforms

Unit Testing

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.

Land your dream remote job 3x faster with AI

Try Jobo Free