Research Group Leader

Salary Range: 200000 to 350000 (Currency: USD) (Pay period: per-year-salary)

Key Responsibilities:

• Lead and mentor a team of research scientists, fostering a collaborative and high-performing environment.
• Work with the Chief Scientific Officer (CSO) and other leaders to drive the research strategy and objectives for your group, aligning with the broader company goals.
• Lead partnerships with industry and academic teams focused on the use, integration and extension of the foundation models developed by GenBio to derive novel insights intro biological and biomedical systems and processes.
• Analyze and interpret complex data, drawing meaningful conclusions and identifying potential breakthroughs.
• Prepare and present research findings at internal meetings, scientific conferences, and in peer-reviewed publications.
• Stay abreast of the latest advancements in relevant scientific fields and integrate new knowledge into research projects.
• Collaborate effectively with our engineering and product teams and with other stakeholders across the organization.
• Lead the writing and publication of high-quality papers demonstrating the success of GenBio’s AI approach.
• Contribute to the intellectual property strategy of the company through invention disclosures and patent applications.
• Ensure adherence to high scientific standards and best practices within the research group.

Qualifications:

• PhD in Computer Science, Computational Biolog or related area with at least 5 years of post-doctoral experience, OR an MSc in a relevant field with at least 10 years of relevant research experience.
• Demonstrated experience in a leadership role, including managing and mentoring research scientists or a similar technical team (this could include experience leading projects, supervising students/postdocs, or managing a small team in industry).
• A strong track record of research accomplishments, evidenced by publications in peer-reviewed journals, conference presentations, and/or relevant industry achievements.
• Deep knowledge and expertise in the design and use of foundation  models for biology.
• Excellent problem-solving, critical thinking, and analytical skills.
• Strong communication, interpersonal, and presentation skills, with the ability to effectively convey complex scientific concepts to diverse audiences.
• Ability to work independently and collaboratively in a fast-paced, dynamic startup environment. 

Preferred Qualifications:

• Experience in both academic and industry research settings.
• Experience with the use of AI to address systems biology questions
• Experience in working and integrating multiple biological modalities
• Experience in securing research funding (e.g., grants, collaborations).
• Familiarity with software engineering best practices and collaborative development environments.