Head of Platform

Posted 10 Hours Ago
Be an Early Applicant
New York, NY
Senior level
Biotech
The Role
The Head of Platform will drive the scientific strategy for proteomics research aligned with AI-driven drug discovery, lead a team of PhD researchers, oversee lab operations, manage budget, and ensure that lab and computational teams work synergistically.
Summary Generated by Built In

About VantAI:

VantAI combines cutting-edge machine learning with deep systems biology, physics and chemistry expertise to solve the most challenging problems in drug discovery. We specialize in the discovery of compounds and biologics that modulate complex protein-protein interactions, using data-driven modeling approaches. Our machine learning-powered in silico platform has helped leading biopharma partners advance their development programs at a fraction of the time and cost of traditional methods.

About the role:

We're looking for a Head of Platform, a leader with a deep understanding of proteomics and small molecule drug discovery who can help us scale one of the most exciting screening and data generation platforms in a novel modality. Join us!

Key Responsibilities: 

  • Drive the scientific strategy, aligning our proteomics research with AI-driven drug discovery initiatives.
  • Lead and nurture a team of PhD researchers, promoting a culture of innovation and discovery.
  • Oversee lab operations and facilities, maintaining an environment that fosters excellence and safety.
  • Plan and steer ambitious proteomics experiments, making key decisions to shape our scientific trajectory.
  • Prudently invest in state-of-the-art lab hardware to keep us on the cutting edge of proteomics research.
  • Bridge the gap between lab teams and computational workstreams, fostering a synergistic environment that maximizes data utility.
  • Manage and optimize the lab budget, ensuring resources are strategically allocated.
  • Provide regular updates on scientific progress, keeping stakeholders informed and inspired.

 Required Qualifications:

  • PhD in Chemical Biology, Proteomics, or related field.
  • Proven experience in proteomics research and small molecule drug discovery. 
  • Track record in designing and executing complex scientific experiments.
  • 5+ years in industry experience focused on small molecule drug discovery at pharmaceutical or biotech companies, with a track record in leading small molecule proteomic initiatives. 
  • Computational affinity, worked with computational biologists.
  • Experience in managing a team of PhD researchers.
  • Familiarity with AI applications in proteomics and drug discovery.
  • Strong budget management skills.
  • Excellent communication skills, adept at summarizing scientific progress for various audiences.

Desired Skills:

  • Experience in a high-tech or AI-driven company.
  • Understanding of computational biology or bioinformatics.
  • Proven track record in setting up new labs or expanding existing facilities.


New York, NY

Salary: $200,000 - $225,000+

This band is a reflection of the job description as written. Looking for a higher salary? Apply anyway! We are happy to speak to more experienced candidates who may require a higher salary and discuss that experience in our first touchpoint.

Top Skills

Machine Learning
The Company
HQ: New York, New York
63 Employees
On-site Workplace
Year Founded: 2019

What We Do

VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. VantAI's in silico platform specializes in modelling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods. For more information, please visit http://www.vant.ai.

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