Okay, I've searched for part-time researcher positions in Philadelphia that require a Bachelor's degree, 0-3 years of experience, data science skills including Python, and are related to engineering or scientific fields. I have found several roles matching these criteria for you.

Sure. Here's the analysis:

Job Analysis:

This Researcher role at Drexel University, specifically within the College of Engineering, centers on leveraging data science to advance the understanding and development of battery critical minerals. Fundamentally, the position is designed to build and refine data science tools, primarily through Python scripting and user interface development, to analyze complex mineral datasets that are critical for battery technologies. This work aligns with global sustainability and technology trends, reflecting Drexel's commitment to impactful, community-engaged research. The candidate will need to navigate technical challenges related to data manipulation, tool creation, and presentation of findings to interdisciplinary teams, emphasizing collaboration and communication. Success in this role requires adaptability and technical proficiency to translate evolving research questions into actionable analytics tools while effectively sharing results in group settings. The part-time, per diem nature of the position suggests a role that demands self-motivation and efficient time management. Although entry-level, the preference for MS candidates indicates a nuanced understanding of scientific research methods and applied data science is important. The candidate must be comfortable with ambiguity often present in research environments and capable of iterative problem-solving to refine data tools and workflows.

Company Analysis:

Drexel University is a prestigious R1 research institution with a global reputation for experiential education and civic engagement. Positioned at the intersection of academic rigor and practical application, Drexel is deeply invested in community impact and innovation, which is reflected in its Cooperative Education program and strategic plans emphasizing inclusion and equity. This environment favors candidates who are not only technically competent but also mission-driven and community-aware. Although the University overall is large and diverse, this Researcher role is embedded in the College of Engineering, which likely values cutting-edge research aligned with industry-relevant challenges such as sustainable energy solutions. The organizational culture appears collaborative and inclusive, with a focus on integrity, equity, and continuous learning. Given the part-time and per diem classification, the role may offer limited hierarchy interaction but important visibility within the immediate project group and potential for engagement with faculty and students. This position offers an excellent entry point for someone interested in merging data science with impactful engineering research while benefiting from Drexel's supportive academic infrastructure and innovative ethos. Strategic alignment is clear: this hire supports Drexel's leadership in applied research and aligns with broader sustainability goals, positioning the candidate in a vital role to influence both academic and practical advancements in battery critical minerals.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to develop a data analysis tool from scratch. How did you approach the project and what challenges did you encounter?
• Behavioral: Describe an experience where you presented complex technical information to a non-technical audience. How did you ensure understanding?
• Behavioral: Give an example of how you managed competing priorities or deadlines in a research or academic setting.
• Behavioral: Can you discuss a situation where you collaborated across disciplines or teams with different expertise? How did you facilitate effective communication?
• Technical: What experience do you have with Python scripting for data analysis and building user interfaces?
• Technical: How would you approach cleaning and structuring raw data on mineral compositions for use in predictive modeling?
• Technical: Explain your familiarity with data visualization techniques and tools to report research findings effectively.
• Technical: What strategies would you use to ensure reproducibility and reliability of data science tools developed in a research environment?
• Situational: Imagine you find discrepancies in the data provided by different sources on battery minerals. How would you handle this inconsistency?
• Situational: If you encounter unexpected results after running your Python analysis scripts, what steps would you take to debug and validate your findings?
• Situational: How would you prioritize your workload when juggling multiple small projects with tight timelines in a part-time research role?
• Company Fit/Motivation: Why are you interested in working as a researcher at Drexel University, particularly in the context of battery critical minerals?
• Company Fit/Motivation: Drexel emphasizes civic engagement and inclusion. How do your personal values align with this mission and how would it influence your work?
• Company Fit/Motivation: How do you see this part-time research position fitting into your broader academic and career goals?
• Questions for Interviewer: Can you describe the typical research team structure and mentorship opportunities within this project at Drexel?
• Questions for Interviewer: What are the current challenges or focal points in the battery critical minerals research that the team is addressing?
• Questions for Interviewer: How does Drexel support part-time researchers in continuing education or professional development during their tenure?