Growth Associate

Strategy & Operations Generalist (Visuals & Documentation)

About the Role:

We are looking for a high-IQ, high-output Strategy & Operations Generalist to join our team as a "Force Multiplier." This isn't a role for someone who wants to stay in a narrow lane; it’s for a smart thinker who thrives on variety, speed, and excellence.

Your primary mission is to translate complex ideas, raw data, and messy brainstorms into world-class visual narratives (PowerPoint) and airtight documentation. You will work closely with leadership to ensure our strategy is communicated clearly and our operations are documented flawlessly.

Key Responsibilities:

Executive Storytelling: Design high-stakes PowerPoint presentations for board meetings, client pitches, and internal strategy sessions. You don't just "make slides"; you build the narrative arc.

Technical & Process Documentation: Draft clear, concise, and professional documentation, including SOPs, project reports, white papers, and research summaries.

Information Synthesis: Take hours of voice notes, scattered data points, or 20-page research papers and distill them into 1-page executive summaries or 5-slide decks.

Strategic Support: Act as a "Chief of Staff" style resource for various departments, jumping in to solve problems, organize workflows, and move projects across the finish line.

Quality Gatekeeping: Ensure every external-facing document or deck meets the highest standards of logic, grammar, and design.

Who You Are (The "Horsepower" Profile)

Intellectual Curiosity: You are a fast learner who can wrap your head around a new industry or technical concept in hours, not days.

Design-Forward Mindset: You have a "Power User" command of PowerPoint or Keynote. You understand whitespace, hierarchy, and how to use data visualization to tell a story.

Exceptional Writing: Your prose is lean, logical, and persuasive. You can write for a CEO or a developer with equal ease.

Relentless Execution: You have the "horsepower" to handle high-pressure deadlines without losing attention to detail.

Autonomous Problem-Solver: You don't wait for a manual; you build the manual. You are comfortable with ambiguity and "figuring it out."

Requirements:



Experience: 2–5 years in management consulting, startup operations, executive support, or a research-heavy role.

Tech Stack: Mastery of PowerPoint/Google Slides and Notion/Google Docs. Familiarity with AI tools (LLMs) for research and drafting is a major plus.

Portfolio: Ability to demonstrate previous work (decks or writing samples) that showcases your ability to simplify complexity.

Education: Bachelor’s degree in Business, Communications, International Relations, or a related field (or equivalent "real world" experience).

Key Responsibilities & Skills

Strong hands-on experience in React.js, Node.js, Express.js, MongoDB

Ability to lead and mentor a development team

Project ownership – sprint planning, code reviews, task allocation

Excellent communication skills for client interactions

Strong decision-making & problem-solving abilities

Nice-to-Have (Bonus Skills)

Experience in system architecture design

Deployment knowledge – AWS / DigitalOcean / Cloud

Understanding of CI/CD pipelines & best coding practices

Why Join InfoSparkles?

Lead from Day One

Work on modern & challenging tech projects

Excellent career growth in a leadership position

Position Overview:

We are seeking a highly motivated and skilled Real-World Evidence (RWE) Analyst to join growing team. The successful candidate will be instrumental in generating crucial insights from real-world healthcare data to inform decision-making, improve patient outcomes, and advance medical understanding. This role offers an exciting opportunity to work with diverse healthcare datasets and contribute to impactful research that drives real-world change.

Key Responsibilities:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Data Expertise: Work extensively with real-world healthcare data, including Electronic Medical Records (EMR), claims data, and/or patient registries. (Experience with clinical trial data does not fulfill this requirement.)
• Methodology: Apply appropriate statistical and epidemiological methodologies to analyze complex healthcare datasets.
• Communication: Clearly communicate findings through presentations, reports, and data visualizations to both technical and non-technical audiences.
• Collaboration: Collaborate effectively with cross-functional teams, including clinicians, epidemiologists, statisticians, and data scientists.
• Quality Assurance: Ensure the accuracy, reliability, and validity of all analyses and reports.
• Ethical Conduct: Adhere to all relevant data privacy regulations and ethical guidelines in real-world data research.

Specific Responsibilities for RWE Analyst (Junior):

• Perform statistical analysis on real-world healthcare datasets under guidance.
• Contribute to the development of analysis plans, often by implementing predefined methodologies or refining existing approaches.
• Prepare and clean data for analysis, identifying and addressing data quality issues.
• Assist in the interpretation of study results and the drafting of reports or presentations.
• Support the preparation of journal publication materials based on RWE studies.

Specific Responsibilities for Senior RWE Analyst:

• Analysis Design & Leadership: Independently design and develop comprehensive analysis plans from inception for RWE studies, identifying appropriate methodologies, data sources, and analytical approaches. This role requires a "thinker" who can conceptualize and drive the analytical strategy, not just execute pre-defined requests.
• Project Management: Lead and manage RWE projects from conception to completion, ensuring timely delivery and high-quality outputs.
• Mentorship: Mentor and guide junior RWE analysts, fostering their development in real-world data analysis and research.
• Methodological Innovation: Proactively identify and evaluate new methodologies and technologies to enhance RWE capabilities.
• Strategic Input: Provide strategic input on study design, data acquisition, and evidence generation strategies.

Qualifications:

For Both RWE Analyst (Junior) & Senior RWE Analyst:

• Bachelor's or Master's degree in Epidemiology, Biostatistics, Public Health, Health Economics, Data Science, or a related quantitative field. (PhD preferred for Senior RWE Analyst).
• Demonstrable hands-on experience working with real-world healthcare data, specifically EMR, claims, and/or registry data. Clinical trial data experience will not be considered as meeting this requirement.
• Proficiency in at least one statistical programming language (e.g., R, Python, SAS, SQL).
• Strong understanding of epidemiological study designs and statistical methods relevant to RWE.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.

Specific Qualifications for RWE Analyst (Junior):

• 4+ years of experience in real-world data analysis in a healthcare or pharmaceutical setting.
• Involvement with journal publications is highly desirable. (e.g., co-authorship, contribution to manuscript preparation).

Specific Qualifications for Senior RWE Analyst:

• 5+ years of progressive experience in real-world data analysis, with a significant portion dedicated to independent study design and leadership.
• A strong track record of journal publications is essential. (e.g., lead author, significant contribution to multiple peer-reviewed publications).
• Proven ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Experience with advanced analytical techniques (e.g., machine learning, causal inference) is a plus.

Preferred Skills (for both roles, but more emphasized for Senior):

• Experience with large healthcare databases (e.g., IQVIA, Optum, IBM MarketScan, SEER, NDHM).
• Knowledge of common data models (e.g., OMOP CDM).
• Familiarity with regulatory guidelines and best practices for RWE generation.