Senior Research Associate I- in vivo Pharmacology

South San Francisco, CA
Drug Discovery /
Full-time /
On-site
Who We Are:

Technology has transformed the way we work, communicate, travel, eat, move, and more. Yet in biopharma, it still takes 12 years to develop a single drug. Even today, thousands of diseases affecting hundreds of millions of people have no effective treatment. Accelerating the pace of bringing effective, new medicines to patients is one of the greatest opportunities for humanity. 

Our mission is to develop better drugs, faster using technology. We have built an end-to-end technology-driven drug discovery platform centered around one of the field’s largest human genomics databases in neuroscience. We use machine learning to map the complex causes of disease and turn those insights into promising drug candidates on our internal biology and chemistry platforms. We are developing drugs to treat some of the biggest medical challenges today: ALS, Parkinson’s Disease, and Alzheimer’s Disease.

We closed our Series C with a syndicate of top tier investors (e.g. BlackRock, Eli Lilly, Merck, Section 32, Threshold Ventures, Y Combinator, etc.). We are a team of engineers, neuroscientists, and drug developers united around an audacious vision: to build the next Genentech of the digital age. 

You will...

    • Contribute and write detailed research project plans and methodological SOPs that guide yours and other team members’ laboratory activities.
    • Small animal handling and dosing of test agents via various routes (IV, SC, IP PO).
    • Perform tissue collection and blood collection (cardiac puncture and submandibular).
    • Independently design studies and develop assay.
    • Manage relationships with CROs and obtain data.
    • Uses molecular and biochemical methods, including RNA isolation, qPCR, ELISA, WB. Experience in tissue sectioning, histology and microscopy is a plus. Occasional dissection of human brains for -omics analysis.
    • Accurate and organized data entry, analysis, statistics, technical report writing, and presentation of experimental results to research groups. Experience with ELNs is a plus.

You have...

    • Education & Experience Required: BA in a scientific discipline with at least 5+ years experience or MS in a scientific discipline with at least 3+ years experience (Prefer 3 + years of industry or 6+ years of academia experience)
    • Dosing routes experience: PO, IPIV (Nice to have: ICV, Mol)
    • Biology experience: RNA extraction, qPCR, genotyping, etc
    • RNA-extraction, qPCR, ELISA (Nice to have: Western blot, IHC (including imaging and quantitation)
    • In vivo study experience: tissue and blood collection (Nice to have: MTD study experience)
    • Comfortable with human tissue (brain and blood)
Compensation & Benefits at Verge Genomics:
Our target starting salary for successful US-based applicants for this role is $86,800 to $100,700. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.

This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and all employees are offered Equity, subject to the terms of those plans and associated policies.

In addition, Verge Genomics also provides our employees:
*Excellent medical, dental, and vision coverage
*401(k) plan with employer matching for contributions
*Disability insurance, Life insurance, Dependent Care FSA and Healthcare FSA
*Unlimited paid time off
*Paid parental leave
*Access to free onsite fitness center


Help us revolutionize the way drugs are discovered & developed:
The startup nature of Verge Genomics provides multiple growth opportunities into other areas of the company. As one of the early employees at Verge, your work will have a direct impact on the foundation of a groundbreaking new drug development model.