Position Overview
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.
Key Responsibilities
- 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
- Assist 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 effectively
- Collaborate with senior engineers, data scientists, and business stakeholders
- Document code, models, and analytical findings clearly and thoroughly
- Stay current with emerging trends in data analytics, AI, and Generative AI technologies
- Hands-on experience working with real-world data and AI solutions
- Mentorship from experienced engineers and data scientists
- Opportunities to grow skills in Generative AI and advanced analytics
- Collaborative and learning-focused work environment
Required Qualifications
- 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.
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 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.
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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。