Careers

Teamwork, respect, and trust are essential to Applied BioMath’s daily culture. These three values are, and will continue to be, the three pillars on which we build our Applied BioMath team. We work as a team, within our company, amongst our peers, and with our computational partners.

  • If you are looking to work in an environment that supports exploration, pushing the envelope, and taking risk…
  • If you are ready to make a difference in science…
  • If you find yourself casually conversing about eigenvectors, kinases, or programming with friends...

...Then Applied BioMath is the place for you.

careers

Current Open Positions

Applied BioMath (www.appliedbiomath.com) is revolutionizing drug invention by helping partners accelerate best in class therapeutics into the clinic. We do this by integrating disease mechanisms, therapeutic mechanism of action, rigorous mathematics, high performance computing and systems pharmacology approaches. Our analyses have assisted both large and small pharma and biotechs to: prioritize portfolios, identify knowledge gaps, prioritize and design experiments, predict optimal drug properties, and support clinical trials and indication/patient selection.

We are currently seeking a talented and innovative Principal Scientist, Mathematical modeler/Project lead to join our team in Concord, MA, (the Boston/Cambridge area) or Oakland, CA (the Bay Area). The ideal candidate will work closely with Pharmaceutical and Biotech teams to build fit-for-purpose mathematical models that help drive decisions in drug development. Models may describe drug’s mechanism of action, signaling pathways (intra- and cell-cell signaling), disease mechanisms (description and mechanistic), and drug toxicities. Modeling approaches include quantitative systems pharmacology (QSP), mechanistic pharmacokinetic/pharmacodynamic (PKPD), and traditional PKPD modeling of small and large molecules and novel therapeutics.
We are currently seeking a talented and innovative Senior Scientist, Mathematical Modeler to join our team in Concord, MA (the Boston/Cambridge area) or Oakland, CA (the Bay Area). The ideal candidate will work closely with Pharma and Biotech teams to build fit-for-purpose mechanistic pharmacokinetic/pharmacodynamic (PKPD) and Quantitative systems pharmacology (QSP) models that help drive decisions in drug discovery and development. Models may describe pharmacokinetics, pharmacodynamics, signaling pathways (intra- and cell-cell signaling), disease mechanisms (description and mechanistic), and drug toxicities.