Generate:Biomedicines

HQ
Somerville, Massachusetts, USA
296 Total Employees
Year Founded: 2018

Similar Companies Hiring

Software • Healthtech • Biotech • Big Data • Artificial Intelligence
3 Offices
450 Employees
Pharmaceutical • Natural Language Processing • Machine Learning • Healthtech • Biotech • Artificial Intelligence
17 Offices
121990 Employees
Software • Pharmaceutical • Manufacturing • Healthtech • Biotech • Analytics
4 Offices
50000 Employees
Jobs at Generate:Biomedicines

Search the 12 jobs at Generate:Biomedicines

Biotech
Director, Product Management role at Generate:Biomedicines, leading the development of a machine learning platform for novel therapeutics. Responsibilities include strategic roadmap development, new capability testing and launch, metric tracking, dataset acquisition, and competitive landscape analysis. Ideal candidate has 10+ years of AI/ML product management experience, proven strategy definition skills, and a Master's or PhD in Molecular Biology, Computer Science, Engineering, or related field.
Biotech
The role involves engineering cell lines, validating expression profiles using FACS, performing a variety of cell and molecular biology techniques, and maintaining organized cell line inventories. The candidate will collaborate with cross-functional teams to define processes for cell line engineering and ensure high-level organization in handling multiple cell lines simultaneously.
Biotech
The Senior Director will manage early development clinical programs, collaborating with cross-functional teams to balance strategic goals with tactical execution. This role requires strong leadership, drug development experience, and the ability to drive digital solutions for data-driven decisions while managing complex projects and budgets.
Biotech
The Portfolio Manager will manage early development clinical programs, translating program strategies into tactical execution plans while collaborating with cross-functional teams, monitoring portfolio activities, and ensuring project outcomes are achieved.
Biotech
The Senior Research Associate will contribute to in vivo experiments related to therapeutics in immuno-oncology and inflammation. Responsibilities include conducting animal manipulations, executing efficacy studies, analyzing and presenting data, and adhering to laboratory standards. The role requires strong in-vivo skills and a focus on creating innovative medicines.
Biotech
The Technical Program Manager will manage the delivery of a Machine Learning platform for novel therapeutics development, collaborating with scientists and engineers to define roadmaps and prioritize projects. They will drive project planning, improve processes for efficiency, and develop stakeholder communication strategies in a dynamic environment.
Biotech
The Principal Software Engineer will enhance the data curation and automation workflows within Generate's Digital team. Responsibilities include developing APIs, collaborating across teams to improve R&D workflows, ensuring system reliability, and integrating cutting-edge technologies, particularly generative AI and LLMs, into their software systems.
Biotech
The Laboratory IT Systems Engineer I will manage the technology needs of lab spaces, troubleshoot IT incidents, coordinate with lab managers and vendors, manage assets, configure and deploy lab instruments, and improve documentation processes.
Biotech
The Senior Scientist II will manage and mentor a team for protein purification and characterization of lead drug candidates, develop production workflows, and ensure QC for in-vivo grade products while bridging R&D to Tech Ops for manufacturability. The candidate will also guide experimental innovation, contribute to scientific strategy, monitor team progress, and identify growth opportunities.
Biotech
The Senior Program Manager will lead and manage medium-to-large-scale pharmaceutical development programs, develop complex program plans, monitor program financials, and ensure project timelines are met while collaborating with cross-functional teams.
Biotech
The Senior Scientist in Machine Learning will develop generative models and algorithms for protein design, scale systems using GPU resources, and collaborate with both computational and wet lab teams to create new therapeutics. The role also involves engineering machine learning systems for large-scale applications and presenting research findings.
Biotech
The role involves developing generative models and algorithms for protein design, scaling systems for data utilization, collaborating with lab teams, and engineering ML systems for therapeutic applications.