Director​/AD, Computational DMPK; Drug Metabolism & Pharmacokinetics

Position: Director/AD, Computational DMPK (Drug Metabolism & Pharmacokinetics)
Location: St. Petersburg

Remote Drug Metabolism Lead at Deep Origin - US/UK - Remote

Remote Flexibility: Deep Origin explicitly offers a remote-friendly culture across the U.S. and Europe with flexible, cross-time-zone working. This is a genuine async-leaning role at a distributed biotech company - not a "remote-optional" office job. That said, as a team lead reporting to ARPA-H milestones and managing collaborators across sites, you'll have recurring sync obligations spanning US and European time zones (roughly UTC-8 to UTC+2).

Nomad Viability: This role is US-or-UK-authorized only - no visa sponsorship is offered, and applicants must already have US work authorization. This significantly limits location freedom for nomads without existing status. If you hold US or UK work rights, you can likely work from anywhere within those timezone bands without issue.

Practical Nomad Destinations: If you're US-authorized and want to travel:

• Lisbon, Portugal: UTC+0/+1, excellent broadband, strong biotech community. Monthly living costs ~$2,000-$2,800. The D8 Digital Nomad Visa is available but you'd need to verify US employer consent.
• Medellín, Colombia: UTC-5, affordable (~$1,200-$1,800/mo), co-working infrastructure strong. Close enough to US East Coast hours for most syncs.
• Bangkok, Thailand: UTC+7 - this is a stretch for US working hours, making it challenging for a cross-timezone team lead role.

Perks for Travelers: Annual team gatherings provide funded travel touchpoints. No explicit co-working stipend or equipment budget is mentioned - worth clarifying at the offer stage.

Deep Origin is a biotechnology company building an operating system for science that transforms how life science research is conducted. Our AI-powered platforms simulate biology, streamline R&D workflows, and enable scientists to model complex biological systems at scale.

Deep Origin leads the PREDICTS consortium, funded by ARPA-H under the CATALYST program, to build in silico models that predict human drug safety and toxicity. As part of this work we are scaling our capabilities in whole-human modeling and predictive toxicology.

About the Role

Deep Origin is building VHAT, the Virtual Human Avatars of Toxicology. VHAT takes a molecule, a dose and a patient population and predicts organ-level human toxicity before a compound is synthesized or dosed. Metabolism sits at the heart of that chain. What a drug becomes, which enzymes act on it and how fast they act determine what each organ is exposed to, and every predicted metabolite is screened for its own off-target and organ liabilities.

The Metabolism group builds four connected models: drug-metabolizing enzyme, site of metabolism, metabolite structure, and enzyme kinetics. As the group's leader, you will own those models, mentor the team that builds them, and drive integration of their predicted parameters into the physiologically based pharmacokinetic (PBPK) model that governs exposure across the VHAT.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Requirements

• A PhD in computational chemistry, cheminformatics, drug metabolism, computational biology, pharmacology or a related field.
• Deep,
  hands-on expertise in drug metabolism
  . You understand CYP and non-CYP enzymes, sites and products of metabolism, enzyme kinetics and clearance, and you can judge whether a prediction is chemically and biologically sound.
• A strong track record in computational modeling
  , either as a model builder or as an expert end-user. This includes machine learning for molecular property or reactivity prediction, and mechanistic or kinetic modeling, including ODE-based models, parameter estimation, and Bayesian or frequentist…