About Inscripta®:

Inscripta® develops innovative, sustainable, and affordable biomanufacturing solutions for a variety of applications and industries, including agriculture, chemicals, animal and human health solutions, personal care, and pharmaceuticals.

Inscripta uses GenoScaler™, a proprietary next-generation microbial strain engineering platform based on over 200 patents and relying on ultra-high-throughput CRISPR+ technologies and cutting-edge artificial intelligence and machine learning tools, to manufacture and supply ingredients at scale under rapid timelines. Founded in 2015, Inscripta is headquartered in Pleasanton, CA. For more information, visit www.Inscripta.com

Summary:

The Scientist/Senior Scientist, Deep Learning will be an individual with considerable biological

expertise to join our team. We offer a flexible work environment, a diverse set of projects, and

a best-in-class peer group to learn from. This position will be a great opportunity to tackle a unique set of problems while shaping the future of synthetic biology.

Responsibilities:

· Design, develop, validate, and deploy state-of-the-art deep learning models for high-dimensional biological data, including imaging, protein datasets, and high throughput Screening.

· Drive deep learning R&D projects from design through implementation, deployment into production, and maintenance.

· Work closely with scientists, engineers, and product managers to integrate subjects matter knowledge and scientific requirements into the design of deep learning systems

· Measure and benchmark model and application performance with the product team.

· Translate best-in-class and in-house developed methods into hardened workflows and tools with a high degree of autonomy, setting the design and direction for end-to-end systems.

· Work with the deep learning team to assess and review new developments for deep

learning systems.

· Follow all company policies and procedures including safety guidelines and protocols.

Qualification/Experience:

· PhD or equivalent in a quantitative field (e.g., computer science, computational biology, bioinformatics, statistics, or mathematics) with 2+ years of work experience.

· Specific experience with deep learning models using cellular imaging is required.

· Extensive experience with deep learning on biological datasets, including deep engagement with biological subject matter and validation.

· Hands-on knowledge of modern deep learning frameworks, including their integration into production workflows.

· Familiarity with GPU based technologies.

· Experience in industrial software engineering for Python, including testing practices, software design, and distributed infrastructure for deep learning.

· Demonstrated comfort with coding in a team environment writing clean, maintainable code, and using the modern software dev stack (Git, Docker, virtual environments, app

frameworks, etc.)

· Rigorous understanding of emerging and foundational machine learning methods, including deep learning (transformers, CNNs, and other architectures), regularized regression and classification modeling, ensemble learning, and dimensionality reduction.

· Track record of published collaborative research in deep learning, machine learning, biology, and related fields.

· Outstanding team player with strong interpersonal and communication skills.

Preferred Qualifications:

· Experience in protein deep learning models is preferred.

· General experience with LLMs is preferred.

· PyTorch knowledge preferred.

· Experience with common AWS services (IAM, EC2, S3, Lambda, Batch, etc.), as well as

relational databases (i.e., Postgres) is preferred.

Physical Requirements:

The employee is frequently required to bend, stand, walk, sit, and use hands to manipulate, handle or feel items (i.e.: lab instruments). The employee must occasionally lift and/or move up to 25 lbs of weight and use a ladder. Specific vision abilities required by this job include close vision.

The employee frequently is required to sit in a lab chair, and/or stand at a lab bench and be mobile. The employee needs both hands to work with small lab instruments.

At Inscripta we don’t just accept difference — we celebrate it, support it, and thrive on it for the benefit of our employees, our innovation, and our community.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. This is not intended to be an exhaustive list of all the responsibilities, duties and skills required. The time devoted to the work activities listed may change based on business needs and other duties may be assigned at the discretion of management.

Salary Range: 140k – 270k DOE