Screening and Assay Development Lead

Atomic AI
·
Posted: 
July 27, 2023
·
Other
Job Commitment
Full-time
Job Commitment
Senior
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Senior
Workplace Type
Other
Job Function

This job is closed

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About the position

The Lead of Screening and Assay Development on the Drug Discovery team at Atomic AI, Inc. will be responsible for spearheading efforts to develop, optimize, establish, and conduct biological, molecular, and biochemical assays for screening small molecule modulators of RNA targets. This role will play a crucial part in assessing the efficacy and safety of drug candidates in multiple projects, driving the success of the company's drug discovery programs. The ideal candidate will have extensive experience in developing and establishing various assays, as well as proficiency in designing and working with plasmid- or mRNA-based reporter systems.

Responsibilities

  • Develop, qualify, and validate novel and standard assays in-house. Ensure reproducibility and consistency of screening results and methods.
  • Provide scientific leadership and in-depth knowledge for biochemical, molecular, and cell-based assays, and interpretation of results.
  • Independently, proactively, and effectively troubleshoot assay-related issues.
  • Hire and mentor new members of the team.

Requirements

  • Bachelor's degree and a minimum of 15 years of experience in the industry or PhD in the life sciences and minimum of 10 years of experience in the industry.
  • Extensive experience in developing and establishing novel and off-the-shelf biochemical, molecular, and cellular assays (cell lines, primary cells, viability/cytotoxicity, ELISA, Western, qPCR, MSD, microscopy, flow cytometry, etc.).
  • Proficiency in designing, cloning, and working with plasmid- or mRNA-based reporter systems.
  • Hands-on familiarity with small molecule library screening, including lab automation for medium- and high-throughput formats (96- and 384-well plates).
  • Demonstrated experience in developing, qualifying, and validating assays in-house.
  • Scientific leadership and in-depth knowledge for biochemical, molecular, and cell-based assays, and interpretation of results.
  • Ability to independently troubleshoot assay-related issues.
  • Experience in hiring and mentoring team members.

Benefits

  • Competitive salary range of $175,000/year to $215,000/year
  • Equity opportunities
  • Comprehensive benefits package
  • Opportunity to work in a well-funded, early-stage biotech company
  • Cutting-edge fusion of artificial intelligence and structural biology
  • Opportunity to contribute to the development of new strategies for treating undruggable diseases
  • Interdisciplinary team working across computational and experimental biology
  • Opportunity to lead and mentor a team
  • Opportunity to develop, optimize, and establish assays for screening small molecule modulators of RNA targets
  • Scientific leadership and in-depth knowledge in biochemical, molecular, and cell-based assays
  • Hands-on experience with various assay techniques and platforms
  • Experience with nucleic acid delivery systems
  • Ability to plan and execute in a fast-paced environment
  • Opportunity to work with CROs to increase screening throughput and deliver results efficiently and cost-effectively
  • Equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Application Resources

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Atomic AI

Atomic AI is a developing the cutting-edge fusion of machine learning and structural biology to unlock RNA drug discovery.
Location
South San Francisco, CA
Company Size
11-50
Workplace Type
Industries
Medical
Health Care
Health Tech
Artificial Intelligence
Open Roles
1
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Atomic AI

Atomic AI is a developing the cutting-edge fusion of machine learning and structural biology to unlock RNA drug discovery.
Company Overview

Atomic AI is a developing the cutting-edge fusion of machine learning and structural biology to unlock RNA drug discovery.

Benefits
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