Onsite Formulation Process Development Associate II
Boulder, Boulder County, Colorado, 80301, USA
Listed on 2026-05-27
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Research/Development
Research Scientist, Biotechnology
Position: Process Development Associate II
Focus Area: Formulations
Position Type: Full-Time Employee
Department: R&D
Location: Boulder, CO, onsite
Experience: BS/BA with 2+ yrs industry experience, or MS with 0+ years.
Watchmaker Genomics is a global life science company based in Boulder, Colorado with an R&D and Production facility in Cape Town, South Africa. Our team is passionate about innovation and values collaboration, creativity, and scientific rigor.
We believe that the intersection of biology, engineering, and computer science presents exciting opportunities for developing novel technologies that promote research and improve human health. Watchmaker Genomics specializes in the design, development, and production of DNA- and RNA-modifying enzymes that enable high‑growth applications in genomics, molecular diagnostics, and personalized medicine.
Position SummaryWatchmaker is inviting applications for the full‑time position of Process Development Associate II based in Boulder, CO, USA. The successful candidate will thrive in a dynamic, fast‑paced working environment and contribute directly to our company culture and success. This is an onsite/in‑office position with flexibility to work from home one day a week.
In this role, you will support the development, optimization, and transfer of formulation processes for molecular biology products, contributing to both new product introduction and on‑market improvements.
Working closely with cross‑functional teams, you will execute experiments, analyze data, and help translate lab‑scale processes into robust, scalable manufacturing workflows. This position is ideal for someone looking to deepen their technical expertise while making meaningful contributions in a fast‑paced environment.
Responsibilities Process Development & Execution- Execute formulation and process development experiments to support scale‑up, optimization, and technical transfer
- Analyze experimental data and contribute to interpretation and next‑step recommendations
- Support characterization of process parameters to ensure consistent product performance
- Assist in translating lab‑scale processes into manufacturing‑ready workflows
- Support transfer of new products and processes into manufacturing
- Assist in troubleshooting process and product performance issues using structured, data‑driven approaches
- Contribute to root cause investigations, NCRs, and CAPA activities
- Partner with cross‑functional teams to implement process improvements
- Work closely with R&D, Manufacturing, Quality, and Product Management to support project goals
- Contribute to cross‑functional initiatives aimed at improving process robustness and efficiency
- Communicate experimental results and technical findings clearly to team members
- Author and update technical documentation including work instructions, batch records, and reports
- Ensure work is conducted in accordance with internal QMS and applicable standards
- Support training activities for new or updated processes
- Maintain laboratory equipment and ensure proper calibration and readiness
- Support reagent preparation, material handling, and lab organization
- Follow and promote safe laboratory practices
Please note:
The above responsibilities are not exhaustive and other similar duties may be required from time to time.
The following skills and experience are requirements for the position:
- Experience executing and documenting experiments in a laboratory setting
- Strong problem‑solving skills with a data‑driven mindset
- Ability to analyze data and contribute to technical conclusions
- Effective communication skills across cross‑functional teams
- Strong organizational skills and ability to manage multiple priorities
- Hands‑on experience with molecular biology techniques (PCR, electrophoresis, NGS workflows, etc.)
- Experience with reagent formulation and analytical measurements (pipetting, balances, pH, spectrophotometry)
- Exposure to process development, scale‑up, or manufacturing environments
- Familiarity with statistical analysis tools (DOE, regression, etc.)
- Exposure…
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