Entry-Level Engineer, Python, Data Analytics & Generative AI Life Sciences Commercial

Cognizant

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bridgewater, NJ
Posted
12 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $201k
$139k $253k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $160,937–$241,750.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 341 open roles on FindRole.

Listed pay typically runs $100,000–$133,500 across 219 roles with salary data.

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At a glance

TL;DR · Entry-Level Engineer, Python, Data Analytics & Generative AI Life Sciences Commercial

The Entry-Level Engineer – Python, Data Analytics & Generative AI Life Sciences Commercial joins the Life Sciences commercial team to support Sales, Marketing, and Market Access functions. This role involves developing Python-based scripts and applications to analyze structured and unstructured data, building statistical, predictive, and machine learning models, and experimenting with Generative AI solutions like LLM-based applications, prompt engineering, and embeddings. You will create data visualizations, document analytical findings, and collaborate with senior engineers to solve business problems. Required technical skills include proficiency in Python using NumPy, Pandas, and Matplotlib/Seaborn, basic SQL, and familiarity with regression, classification, or time-series analysis. The work focuses on providing AI-driven solutions for data analysis, automation, and innovation within the life sciences commercial domain.

What does a Engineer earn?

Median $179800 from 260 postings across 56 companies.

See salary data

What you'll do

  • Develop and maintain Python-based scripts and applications for data analysis and modeling.
  • Collect, clean, and analyze structured and unstructured data from multiple sources.
  • Build and evaluate statistical, predictive, or machine learning models.
  • Develop and experiment with Generative AI solutions including LLM-based applications and prompt engineering.
  • Create data visualizations and dashboards to communicate analytical insights effectively.
  • Document code, models, and analytical findings clearly and thoroughly.

What we're looking for

  • Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related field.
  • Strong proficiency in Python including NumPy, Pandas, Matplotlib, and Seaborn.
  • Understanding of data analytics concepts including data cleaning, exploratory analysis, and basic statistics.
  • Exposure to modeling techniques such as regression, classification, or time-series analysis.
  • Familiarity with Generative AI concepts including LLMs, prompt engineering, and APIs for platforms like OpenAI or Hugging Face.
  • Basic knowledge of SQL and working with databases.
  • Must be willing to relocate to Bridgewater, NJ.
  • Work Authorization.

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