Data Architect/Analyst

We’re on a journey to Grow the Future of Materials. How? By unlocking the unique properties of mycelium, the root structure of mushrooms. Our patented technology, Fine Mycelium™, unleashes a new class of materials crafted from nature, engineered for performance, and built for a resilient future. We’re seeking passionate learners to join us in pioneering a materials revolution and creating an epic place to work.

MycoWorks offers competitive equity and benefits programs to support the health, well-being, and financial empowerment of all our employees. We root our relationships with our partners and one another in our core values: Be Mycelial, Cultivate Quality, and Grow the Future, and we're committed to building a diverse team and an inclusive environment where all employees belong. Women, gender expansive individuals, people of color, individuals with disabilities, veterans, and LGBTQ+ candidates are strongly encouraged to apply.

Job Summary

MycoWorks is seeking a Data Architect/Analyst with strong data science, analytical, and problem-solving skills to lead data integration and experimental analytics for the Innovation Center. This role transforms complex scientific and operational datasets into actionable insights that drive process improvement, product consistency, and technology discovery. 

While the IT team will lead the development and deployment of broader infrastructure projects, this role will serve as a critical liaison, defining data requirements, ensuring alignment with scientific and operational needs, and translating those into scalable data solutions.

Responsibilities:

Data Architecture & Infrastructure Collaboration

• Partner closely with the IT team to define data architecture requirements, ensuring alignment with operational and experimental needs.
• Collaborate on system integrations — providing scientific and user input to guide development.
• Work alongside IT to support infrastructure projects while focusing on use case articulation, quality, and scientific data relevance.

Data Science & Experimental Analytics

• Conduct statistical and multivariate analyses to extract correlations, trends, and actionable insights from biological, process, and infrastructure datasets.
• Apply machine learning and statistical modeling to support root cause analysis, hypothesis testing, and predictive monitoring.
• Translate raw data into experimental insights that guide innovation, process scale-up, and operational excellence.

Reporting, Visualization & Insight Generation

• Build and maintain dashboards and reports that provide real-time views into key performance indicators (KPIs), experimental progress, and equipment performance.
• Summarize findings in a clear, actionable format for technical and leadership teams.
• Enable cross-functional understanding of complex data through clear visualizations and compelling narratives.

Data Governance & Best Practices

• Define and promote data standards related to data quality, integrity, structure, and accessibility.
• Partner with IT and internal stakeholders to ensure data capture practices support traceability and reproducibility.

Cross-functional Collaboration

• Serve as a bridge between scientists, engineers, operators, and IT, ensuring that both business and scientific needs are accurately reflected in system capabilities.
• Foster a data-literate, insight-driven culture at the Innovation Center through training, standards development, collaboration, and process design.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Bioinformatics, or a related field.
• 5+ years of experience in data analytics, applied data science, or data architecture in biotech, manufacturing, or industrial R&D settings.
• Proficiency in Python, R, or similar languages for data analysis and modeling.
• Strong SQL skills and experience building dashboards in Power BI, Tableau, or similar platforms.
• Experience working with scientific and operational systems such as LIMS, ELNs, MES, SCADA, and ERP.
• Familiarity with collaborative work alongside IT teams on system implementations or large-scale data infrastructure projects.
• Excellent communication skills, with the ability to translate between technical and non-technical stakeholders.

• Demonstrated ability to translate complex datasets into actionable insights that inform strategic and operational decisions.
• Strong scientific foundation with a data-driven mindset and a proven track record of deriving insights from experimental and operational data.
• Willingness to learn hands-on with production and scientific teams to develop a comprehensive understanding of physical work flows
• Experience working in cross-functional teams, balancing analytical depth with practical implementation to drive results.

MycoWorks offers world class benefits and compensation programs to support the health, well-being and financial empowerment of our employees. Our benefits include:

• Medical, Vision and Dental plans at no cost to employees
• Equity
• Optional insurance coverage for partners and dependents
• FSA Accounts
• Free Personal Health Advocate
• Generous PTO policy
• Paid parental leave
• Paid holidays beyond the traditional
• 401(k) program

MycoWorks may contact you via text message regarding your application for this or similar opportunities. You can always text STOP to opt out.

Our job titles may span more than one career level. The targeted base pay for this role is $120,000-$138,000 . The actual pay is dependent on other factors such as training, skills, work experience and business needs. The target pay range is subject to change and may be modified. This role is also eligible for benefits and equity.

In our commitment to fostering an inclusive and supportive work environment, we recognize the importance of accommodating individual needs. If you require any specific accommodations during the application or interview process, please feel free to let us know. We are dedicated to facilitating a comfortable and accessible experience for all candidates, and will work with you to ensure your needs are met.