Entry-Level Engineer – Python, Data Analytics & Generative AI Life Sciences Commercial at Cognizant
Columbia, SC
$65,000from the description
Jul 9, 2026
Columbia, SC
Jul 21, 2026
What this job asks for AI summary
An entry-level engineering role focused on building Python-based data pipelines, statistical and machine learning models, and Generative AI applications — including LLM-based tools and prompt engineering — for life sciences commercial teams spanning sales, marketing, and market access. Suited to recent graduates with a grounding in data analytics and Python who want hands-on exposure to real-world AI and modeling work under the guidance of senior engineers and data scientists.
Junior level · Remote · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 7 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 410 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 220–640
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $103,548–$176,968). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is explicitly framed as 'Entry-Level' and targets recent graduates or early-career professionals, consistent with a Junior band despite no stated minimum years of experience.
The posting is for future/pipeline hiring (start date August 2026) and explicitly states it 'represents potential future employment opportunities' — candidates are being pooled, not hired immediately for an open role.
No US work authorization sponsorship (including CPT/OPT) is available for this position.
The role blends data science (modeling, ML, GenAI) with Python scripting/application development, making 15-2051 Data Scientists the best fit, though 15-1252 Software Developers is a reasonable runner-up given the emphasis on building Python applications.
The Bridgewater, NJ office location falls within the New York-Newark-Jersey City CBSA; relocation is required.
GenAI API familiarity (OpenAI, Azure OpenAI, Hugging Face) is listed under Required Qualifications as examples of a single requirement; captured as one skill with alternatives.
Matplotlib and Seaborn are listed together as a single library requirement; captured as one skill with Seaborn as an alternative.
Machine learning libraries (scikit-learn, TensorFlow, PyTorch) appear under the 'Preferred / Nice-to-Have Skills' section.
Read the full posting
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