DMC is a biotechnology company based in Boulder, CO, and Research Triangle Park, NC. Our Dynamic Metabolic Control™ technology platform delivers robust and predictably scalable biocatalysts resulting in cost competitive and sustainable processes for everyday chemicals. We are a multi-product bio-based chemical company, working ingeniously to reduce the cost and the environmental impact of biochemicals for markets in animal feed, human nutrition, pharmaceutical materials, and chemical intermediates.

We are seeking a scientist to join our Metabolic Engineering team. The scientist will join a dedicated team responsible for the design, engineering, and validation of strain performance at bench scale. The candidate will lead the design and construction of pathways and strains, and the high throughput screening of production strains. Ideal candidates will possess prior experience in metabolic engineering, molecular biology, synthetic biology, and laboratory automation. Moreover, they should be able to understand the underlying metabolic mechanism, and quickly learn new concepts that are specific to support our technology and approach.

Design of metabolic pathways to redirect carbon fluxes to the desired metabolites

Optimization and utilization of laboratory automation for the construction of plasmids and genetically engineered microbial strains, including E. coli

High throughput screening of production strains

Data driven hypothesis generation and testing 

Manage and track project progress and proactively update progress to the stakeholders

Managing and coordinating complex experimental schedules within a broader team

Maintaining, analyzing, and reporting data to the larger team

Troubleshooting and improving processes

Maintaining safe practices and work environment

Mentoring and coaching more junior team members

We prefer candidates with technical training in molecular biology or chemical engineering, and prior experience in a laboratory setting. Demonstrated experience with metabolic engineering, laboratory automation, statistical analyses, Design of Experiments (DoE), fast-paced work environment, and analysis of large data sets preferred. In addition, we prefer candidates with experience in the following areas:

PhD. degree in bioengineering, molecular biology, or related field with 2+ years related experience, or alternatively a B.S. degree with 7+ years related experience

Direct, hands-on experience with microbial engineering

Direct, hands-on experience with laboratory automation (liquid handlers)

Direct experience in statistical analyses and Design of Experiments (DoE)

Quantitative, data-driven analysis of experimental results and an analytical mind-set

Experience in following, drafting, and revising detailed SOPs and protocols

Capability to manage multiple work-flows and experiments within a single day

Ability to effectively work in cross-disciplinary teams

Must be a self-starter, motivated, scientifically curious, and collaborative

Flexible schedule including occasional evenings and weekends

Previous experience programming in Python or similar is a plus

$100,000 - $130,000 a year

Medical/Dental/Vision Insurance at 90% coverage of premium for employee and 80% for dependent

Company Equity

Short- and Long-Term Disability

Basic Life Insurance and AD&D coverage

401K Matching

Paid Holidays

Flexible Time Off Policy

Wellness subsidy of $1,000 per year available after 6 months of employment

Many other voluntarybenefits available through TriNet