About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT / Life Sciences (Commercial).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Position Overview

Confidential Client is hiring an Entry-Level Engineer to join Life Sciences commercial teams focused on applying Python, data analytics, modeling, and Generative AI to real-world business problems. This early-career role is ideal for recent graduates or professionals with solid Python and analytics fundamentals who want hands-on experience building data pipelines, statistical models, and LLM-based solutions that support Sales, Marketing, and Market Access functions.

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What You’ll Do

• Develop and maintain Python scripts and small applications for data cleaning, analysis, and modeling
• Collect, normalize, and analyze structured and unstructured datasets from multiple sources
• Build and evaluate statistical and predictive models (regression, classification, time-series where applicable)
• Support experimentation with Generative AI (LLM-based prototypes, prompt engineering, embeddings)
• Create clear visualizations and dashboards to surface insights for business stakeholders
• Collaborate with senior engineers, data scientists, and cross-functional commercial teams
• Document code, analyses, and model behavior for reproducibility and auditability
• Stay current with emerging tools and best practices in data analytics and Generative AI

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Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, or related field
• Strong proficiency in Python and common libraries (NumPy, pandas, Matplotlib/Seaborn)
• Practical understanding of data cleaning, exploratory data analysis, and basic statistics
• Exposure to modeling techniques (regression, classification, or time-series analysis)
• Familiarity with Generative AI concepts (LLMs, prompt engineering, GenAI APIs such as OpenAI/Azure/Hugging Face)
• Basic SQL skills and experience working with relational data
• Strong problem-solving, communication, and collaboration skills

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Preferred / Nice-to-Have Skills

• Experience with scikit-learn, TensorFlow, or PyTorch
• Internship, academic, or personal projects demonstrating end-to-end analytics or ML work
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Understanding of MLOps, model deployment, or CI/CD for data projects
• Experience with Git or other version control systems
• Exposure to BI tools (Power BI, Tableau) and dashboarding
• Any Life Sciences commercial experience or domain familiarity

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Location & Start

• Primary posting location: Richmond, VA. New hires will be deployed to the client’s office in Bridgewater, NJ and must be willing to relocate as required by the business.
• Anticipated start window: August 2026 (final assignment of June or August may be required based on business needs).

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Compensation & Benefits

• Base salary: $65,000 per year (dependent on experience)
• Eligibility for discretionary annual incentive program (per client plans)
• Typical benefits (subject to eligibility): medical/dental/vision, life insurance, paid holidays and PTO, 401(k) plan, short/long-term disability, paid parental leave, and employee stock purchase options.

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Work Authorization

Confidential Client cannot provide U.S. work-authorization sponsorship for this role (including CPT/OPT). Applicants must be authorized to work in the U.S. without sponsorship.

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Why Join

• Hands-on mentorship from experienced engineers and data scientists
• Real-world projects in Life Sciences commercial analytics and AI
• Growth opportunities in Generative AI and advanced analytics
• Collaborative, learning-focused environment that values diverse perspectives

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.