Radical Numerics

HQ
San Francisco
Total Offices: 2
25 Total Employees

Radical Numerics Benefits Overview

Compensation + Benefits

Offers 401(K)

Provides 401(K) matching

Offers company equity

Offers competitive compensation and rewards package

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers generous parental leave

Company Culture

Utilizes an open door policy that encourages accessibility

Hosts in-person all-hands meetings

Promotes a people-first, social culture

Prioritizes mission-driven work in decision-making processes

Promotes a strong in-person office culture

Open office floor plan to encourage communication and collaboration

Defined values and mission statements

Defined policies promoting a professional, respectful workplace

Policies promote a low-ego, team-driven culture

Mistakes are treated as learning opportunities

Work-Life Balance + Wellbeing

Utilizes an Unlimited PTO policy

17 Hours AgoSaved
In-Office
San Francisco, CA, USA
Biotech • Generative AI
Lead and build Radical Numerics' biosecurity function: set strategy across detection, surveillance, and countermeasures; translate model capabilities into operational products; engage governments and global stakeholders; drive partnerships, hiring, and external communications; and operate with high ownership in ambiguous, high-stakes environments.
17 Hours AgoSaved
In-Office
San Francisco, CA, USA
Biotech • Generative AI
Coordinate end-to-end recruiting and candidate experience, maintain ATS pipelines, track hiring metrics, and run day-to-day office operations for an in-person team (~25). Manage vendors, office buildout and furnishings, onboarding logistics, team events, and ad-hoc operational projects while partnering with leadership to scale hiring and workplace systems.
17 Hours AgoSaved
In-Office
San Francisco, CA, USA
Biotech • Generative AI
Lead global discovery and acquisition of high-value biological datasets (genomics, multi-omics, imaging, clinical). Build relationships with researchers, hospitals, biobanks, and pharma; prioritize datasets with internal scientists; negotiate data-sharing and licensing agreements while addressing regulatory, privacy, ethical, and IP issues; and maintain a pipeline of strategic data partnerships.