# Chief of Staff

**Company**: Arc Institute
**Location**: Palo Alto, CA
**Experience**: senior
**Job type**: full-time
**Salary**: $160,000 to $237,500
**Category**: Research
**Industry**: Other

**Apply**: https://job-boards.greenhouse.io/arcinstitute/jobs/6129232004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f9973c67-98b

## Description

The Chief of Staff serves as a scientific and strategic partner, proxy, and "shared brain" to the Institute's Executive Director and Core Investigator.

This is a technical, full-time role for someone who can engage substantively with the science, from CRISPR-based transcriptome engineering and functional genomics to computational modeling and disease biology, and translate that engagement into sharp decision-making, program execution, and cross-disciplinary coordination.

Responsibilities:

- Serve as a scientific and strategic daily thought partner to the Executive Director, engaging critically with scientific work across the lab, institute and external partnerships

- Own the operating rhythm of the Executive Director’s office, including a complex, shifting schedule and the prioritization of conflicting technical and organizational demands

- Gather and synthesize technical information and open decisions from across the Institute into clearly framed options, trade-offs, and recommendations

- Design strategic and effective meeting and offsite pre-reads, meeting agendas and meeting followup for Arc’s leadership team as well as scientific teams

- Drive high-priority scientific programs, collaborations and special projects from inception through execution

- Partner with the Executive Director and leadership team on defining annual and longer term strategic goals for the institute

- Unblock science by organizing and stewarding scientific collaborations, within the Institute and with external partners

- Translate complex technical work for varied audiences

- Handle confidential scientific and organizational information with care, thoughtfulness, and discretion at all times

Requirements:

- A Ph.D. (or equivalent research training) with a demonstrated scientific track record, or comparable technical depth from a consulting or founder path, plus 5-12+ years of experience

- Background in one or more relevant biology areas (e.g., genome or transcriptome engineering, functional genomics, neuroscience, molecular/cell biology, multi-omics, or computational biology)

- Demonstrated strength in technical information gathering, stakeholder and dependency mapping and management, and synthesizing complex scientific information into clear options and actionable recommendations for decision makers

- Track record of managing complex, cross-functional projects in a research environment from inception through execution

- Evidence of translating technical or scientific work for non-specialist audiences

- Excellent written and verbal communication skills

- Solution-oriented and adept at navigating shifting priorities and rapid change; unflappable, proactive, and discreet

Preferred Qualifications:

- Ph.D. in the life sciences or a closely related field

- Hands-on experience with CRISPR/gene- or RNA-editing technologies, functional genomic screens, or high-throughput experimental platforms

- Experience with computational biology, machine learning, or large-scale genomic data

- Experience organizing scientific collaborations or programs, within an institution and with external partners

- Experience supporting board preparation, scientific offsites, and executive or scientific communications

Benefits:

- The base salary range for this position is $160,000 to $237,500

- Eligible to receive an annual discretionary bonus

- Eligible to participate in the Institute’s Compound Cash Grant Program (CCGP)

## Skills

### Required
- CRISPR-based transcriptome engineering
- functional genomics
- computational modeling
- disease biology
- scientific project management

### Nice to have
- CRISPR/gene- or RNA-editing technologies
- functional genomic screens
- high-throughput experimental platforms
- computational biology
- machine learning
- large-scale genomic data

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/arcinstitute/jobs/6129232004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)