Biomatter is a synthetic biology company utilizing an AI-powered platform called Intelligent Architecture™ to design and develop enzymes for various applications in health and sustainable manufacturing. Their platform addresses limitations in traditional protein engineering, offering near-perfect control over protein design, accelerated timelines, and flexible partnership models. They collaborate with global partners and have successfully created enzymes for diverse applications, from glycosyltransferases to proteolytic enzymes. The company has secured funding and published research on their innovative enzyme design methods. They offer various career opportunities in Lithuania, including roles in R&D, Business Development, and Bioinformatics.
• generative ai
• intelligent architecture™ platform
• ai-driven enzyme redesign
• protein engineering
• enzyme design
R&D Scientist (Laboratory)
Biomatter's Intelligent Architecture™ platform uses AI to design and engineer enzymes for health and sustainable manufacturing, accelerating timelines and improving control.
Benefits:
Opportunity to join an innovative startup
Work environment for developing talent and realizing ideas
Flexible working arrangements
Private health insurance
Attractive salary
Education Requirements:
Master's degree or PhD in biochemistry, molecular biology, cell biology, immunology or related field
Experience Requirements:
2+ years of industrial experience
Other Requirements:
Ability to plan and execute biochemistry / molecular biology experiments
Experience with recombinant protein expression and purification
Experience with molecular cloning and mutagenesis techniques
Analytical thinking and problem solving abilities
Intrinsic motivation, accountability, and a commitment to professional development
Excellent written and oral English communication skills
Responsibilities:
Participating in brainstorms for new product and application ideas
Producing and characterizing wild type and designed proteins
Suggesting and developing analytical assays for protein characterization
Developing and optimizing medium and high throughput workflows for protein expression and characterization
Keeping detailed and accurate records of all lab work
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Business Development Manager
Biomatter's Intelligent Architecture™ platform uses AI to design and engineer enzymes for health and sustainable manufacturing, accelerating timelines and improving control.
Benefits:
Opportunity to join an innovative startup
Work environment for developing talent and realizing ideas
Private health insurance
Full-time position
Salary range 2400 - 5000 Eur
Experience Requirements:
At least 1.5 years of experience in B2B sales
Other Requirements:
Highly proactive style of work
Structured approach to problem solving
Excellent communication skills
Fluent written and spoken English
Responsibilities:
Identifying companies and groups within the companies that would benefit from new protein development collaboration with Biomatter
Working closely with our Lead Research Specialists to identify and reach potential prospects
Booking discovery calls with potential clients and helping to nurture the relationships with them
Constantly updating the CRM and following-up on the existing pipeline
Helping to prepare for and/or participating in various conferences and business missions
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Bioinformatics Scientist
Biomatter's Intelligent Architecture™ platform uses AI to design and engineer enzymes for health and sustainable manufacturing, accelerating timelines and improving control.
Benefits:
Opportunity to join an innovative startup
Work environment for developing talent and realizing ideas
Flexible working arrangements
Private health insurance
Salary range 2000-5000€/month
Education Requirements:
M.Sc. in bioinformatics, structural biology, or other fields related to computational protein engineering
Experience Requirements:
3 years of industry/academia experience
Other Requirements:
Skilled at rapidly analyzing scientific literature on new enzymes
Good understanding of protein behavior _in vitro_
Comfortable with popular protein sequence and structure analysis command-line tools, and Unix systems
Comfortable with Python and data analysis
Knowledge of collaborative software development best practices
Excellent communication, reporting, and writing skills
Ability to work both independently and in cross-functional teams
Responsibilities:
Working in a team to engineer new enzymes by applying in-house developed tools
Supporting the development of new workflows and algorithms
Participating in brainstorms, proposing ideas for novel tools or applications
Critically evaluating data generated by the experimental group and incorporating this knowledge into the design of improved protein variants
Keeping detailed and accurate records of all work
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