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

Position OverviewLife sciences organizations are under pressure to innovate their processes as fast as possible. Thirty of the top global pharmaceutical companies work with Cognizant. We are redefining the way life sciences companies do digital and we are offering solutions specific to the challenges of these companies.We are seeking a motivated and curious Entry-Level Engineer with a strong foundation in Python, data analytics, modeling, and Generative AI. This role is ideal for recent graduates or early-career professionals who are eager to apply analytical thinking and modern AI techniques to solve real-world business and engineering problems.You will work closely with Life Sciences commercial cross-functional teams across Sales, Marketing and Market Access to analyze data, build models, and contribute to AI-driven solutions that support decision-making, automation, and innovation.Key ResponsibilitiesDevelop and maintain Python-based scripts and applications for data analysis and modelingCollect, clean, and analyze structured and unstructured data from multiple sourcesBuild and evaluate statistical, predictive, or machine learning modelsAssist in the development and experimentation of Generative AI solutions (e.g., LLM-based applications, prompt engineering, embeddings)Create data visualizations and dashboards to communicate insights effectivelyCollaborate with senior engineers, data scientists, and business stakeholdersDocument code, models, and analytical findings clearly and thoroughlyStay current with emerging trends in data analytics, AI, and Generative AI technologiesHands-on experience working with real-world data and AI solutionsMentorship from experienced engineers and data scientistsOpportunities to grow skills in Generative AI and advanced analyticsCollaborative and learning-focused work environmentRequired QualificationsBachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related fieldStrong proficiency in Python (e.g., NumPy, Pandas, Matplotlib/Seaborn)Understanding of data analytics concepts, including data cleaning, exploratory analysis, and basic statisticsExposure to modeling techniques such as regression, classification, or time-series analysisFamiliarity with Generative AI concepts, such as:Large Language Models (LLMs)Prompt engineeringAPIs for GenAI platforms (e.g., OpenAI, Azure OpenAI, Hugging Face)Basic knowledge of SQL and working with databasesStrong problem-solving, analytical, and communication skillsPreferred / Nice-to-Have SkillsExperience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)Hands-on experience through internships, academic projects, or personal projectsFamiliarity with cloud platforms (Azure, AWS, or GCP)Understanding of MLOps or model deployment conceptsExperience using Git or other version control systemsExposure to data visualization tools (Power BI, Tableau, or similar)Life Sciences Commercial experience / understanding of modeling techniquesLocation(s)New hires will be deployed to Cognizant office in Bridgewater, NJ (and willing to relocate) where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to these major geographic area.Start Date(s)New hires will start in August 2026. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment of June or August. Exact start dates will be communicated with enough time for you to plan effectively.Why Choose Us?Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate’s diverse backgrounds offer varied perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. If you’re comfortable with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you.Salary and Other Compensation:Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time Off401(k) plan and contributionsLong-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase PlanDisclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.Work AuthorizationDue to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role.Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities.About Cognizant:Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.Additional employment informationCompensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

• Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related field
• Strong proficiency in Python (e.g., NumPy, Pandas, Matplotlib/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, such as:
• Large Language Models (LLMs)
• Prompt engineering
• APIs for GenAI platforms (e.g., OpenAI, Azure OpenAI, Hugging Face)
• Basic knowledge of SQL and working with databases
• Strong problem-solving, analytical, and communication skills

Preferred / Nice-to-Have Skills

• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Hands-on experience through internships, academic projects, or personal projects
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Understanding of MLOps or model deployment concepts
• Experience using Git or other version control systems
• Exposure to data visualization tools (Power BI, Tableau, or similar)
• Life Sciences Commercial experience / understanding of modeling techniques

Location(s)

New hires will be deployed to Cognizant office in Bridgewater, NJ (and willing to relocate) where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to these major geographic area.

New hires will start in August 2026. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment of June or August. Exact start dates will be communicated with enough time for you to plan effectively.

Why Choose Us?

Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate’s diverse backgrounds offer varied perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. If you’re comfortable with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you.

Salary and Other Compensation:

Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Work Authorization

Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role.

Life sciences organizations are under pressure to innovate their processes as fast as possible. Thirty of the top global pharmaceutical companies work with Cognizant. We are redefining the way life sciences companies do digital and we are offering solutions specific to the challenges of these companies.

We are seeking a motivated and curious Entry-Level Engineer with a strong foundation in Python, data analytics, modeling, and Generative AI. This role is ideal for recent graduates or early-career professionals who are eager to apply analytical thinking and modern AI techniques to solve real-world business and engineering problems.

You will work closely with Life Sciences commercial cross-functional teams across Sales, Marketing and Market Access to analyze data, build models, and contribute to AI-driven solutions that support decision-making, automation, and innovation., Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.