Careers

At Applied BioMath, our passion for science and impacting patients' lives drives our desire to revolutionize drug invention. We are innovators, we love to learn, and we take pride in working together to bring systems modeling to drug development. We value work-life balance, diversity, and inclusiveness in the workplace. We support our team members in bringing their authentic selves to work, so that they feel comfortable and can do their best work. We are also committed to developing female leaders; 45% of our Executive Leadership Team members are women.

careers

Current Open Positions

Applied BioMath (www.appliedbiomath.com) is seeking a Human Resources Manager to attract top tier talent in the life sciences industry and help support our rapid growth. The successful candidate will work closely with our services, software, and sales teams, to understand the requirements of the people we are looking to attract and develop a process to quickly screen and interview candidates.

Applied BioMath is currently seeking a talented and innovative Principal Scientist, Bioinformatics to join our team in Concord, MA, (the Boston/Cambridge area) or Pleasanton, CA (the Bay Area). The ideal candidate will be able to build pipelines and support the analysis of both pre-clinical and clinical data sets including RNA-Seq, Exome and Whole Genome Sequencing, single cell sequencing, and high throughput proteomics, metabolomics and flow cytometry in order to identify novel drug targets, biomarkers and support exploratory translational research.

Applied BioMath is seeking an Associate Director of Scientific Collaborations to help support our global sales efforts. The successful candidate will work closely with our sales, science, and management teams, interacting with prospects and clients from biotechs and pharma and introducing systems pharmacology and mechanistic PKPD modeling approaches at preclinical and clinical stages to de-risk therapeutic programs within pharmaceutical and biotechnology industry.

Applied BioMath is looking for a highly determined frontend engineer to join our software engineering group. The mission of our group is to deliver cloud based modeling and simulation solutions to scientists, in support of better, cheaper, and faster drug development.

Applied BioMath is looking for a highly capable full stack engineer to join our software engineering group. The mission of our group is to deliver cloud based modeling and simulation solutions to scientists, in support of better, cheaper, and faster drug development.

Help shape our tech stack as we develop large scale, distributed, and service-oriented architectures. Contribute widely by gathering requirements, automating deployments, and developing both frontend and backend code. Engage with scientific and mathematical experts in support of drug discovery.

Applied BioMath is revolutionizing drug invention by helping partners accelerate best-in-class therapeutics into the clinic. We are currently seeking a talented and creative “Senior/Principal Scientist, Biology” to join our rapidly expanding team either in Concord, MA, (the Boston/Cambridge area) or Pleasanton, CA (the San Francisco Bay area). 

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 Pleasanton, 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 Pleasanton, 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.