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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What You’ll Do

Confidential Client is seeking a motivated Entry-Level Engineer to apply Python, data analytics, modeling, and Generative AI techniques to real-world life-sciences commercial problems. This role is ideal for recent graduates and early-career professionals who enjoy hands-on work, collaboration, and learning from experienced engineers and data scientists.

• Develop and maintain Python-based scripts and small applications for data ingestion, cleaning, analysis, and modeling
• Collect, clean, and analyze structured and unstructured data from multiple sources
• Build and evaluate statistical and predictive models (regression, classification, time-series where relevant)
• Support experiments and prototyping of Generative AI solutions (LLM-based applications, prompt engineering, embeddings)
• Create clear data visualizations and dashboards to communicate insights to cross-functional stakeholders
• Collaborate with senior engineers, data scientists, and commercial teams (Sales, Marketing, Market Access)
• Document code, model assumptions, and analytical findings clearly and reproducibly
• Stay current with industry trends in data analytics and Generative AI; recommend practical improvements and tools

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Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, Statistics, or a related field
• Strong proficiency in Python (NumPy, Pandas, Matplotlib/Seaborn)
• Solid understanding of data analytics fundamentals: data cleaning, exploratory data analysis, and basic statistics
• Exposure to modeling techniques (regression, classification, or time-series analysis)
• Familiarity with Generative AI concepts including LLMs, prompt engineering, and GenAI APIs (e.g., OpenAI, Azure OpenAI, Hugging Face)
• Basic SQL skills and experience working with databases
• Strong problem-solving, analytical, and clear written & verbal communication skills
• Demonstrated hands-on experience via coursework, projects, internships, or personal projects

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Preferred / Nice-to-Have Skills

• Experience with machine learning libraries: scikit-learn, TensorFlow, or PyTorch
• Familiarity with cloud platforms: Azure, AWS, or GCP
• Understanding of MLOps, model deployment, and version control (Git)
• Experience with data visualization and BI tools (Power BI, Tableau)
• Prior exposure to life-sciences commercial data or healthcare analytics (helpful but not required)

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Location & Start Date

• Job location (authoritative): Tarrytown, TX, US.
• New hires will be expected to work onsite at the Confidential Client office in Tarrytown, TX; applicants should be willing to relocate if not local.
• Anticipated start window: August 2026 (business need may adjust exact start date to June or August; final start date will be communicated as the process advances).

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Compensation & Benefits

• Annual salary: $65,000 (depending on experience and qualifications)
• Eligible for Confidential Client’s discretionary annual incentive program (subject to plan terms)
• Benefits may include:
  • Medical, dental, vision, and life insurance
  • Paid holidays and paid time off
  • 401(k) plan and company contributions
  • Short-term and long-term disability
  • Paid parental leave
  • Employee stock purchase plan (subject to eligibility)
• Compensation and benefits information is accurate as of the posting date; Confidential Client reserves the right to modify offerings consistent with applicable law.

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Work Authorization & Other Notes

• Confidential Client cannot provide sponsorship for U.S. work authorization for this role (including participation in CPT/OPT programs). Applicants must be authorized to work in the U.S. at the time of hire.
• This posting may represent future hiring needs; expressing interest does not guarantee a current opening. Candidates who match future roles may be contacted.

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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.