What We Do
We build on the strength of our research and development expertise and a distinctive, entrepreneurial culture that encourages diversity, innovation, creativity, sustainability, and, simply, fun. Since inception, our mission has been to find a cure for pulmonary arterial hypertension and other life-threatening diseases. Toward this goal we have successfully gained FDA approval for five medicines, we are always conducting new clinical trials, and we are working to create an unlimited supply of manufactured organs for transplantation.
We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation (PBC). Our public benefit purpose is to provide a brighter future for patients through (a) the development of novel pharmaceutical therapies; and (b) technologies that expand the availability of transplantable organs. At the same time, we seek to provide our shareholders with superior financial performance and our communities with earth-sensitive energy utilization.
Our company was founded by an entrepreneur whose daughter was diagnosed with a life-threatening condition. She sought to find treatment options and a cure for her daughter and patients like her. We are founder-led, and relentless in our pursuit of “medicines for life”. We continue to research and develop treatments for cardiovascular and pulmonary diseases, and other orphan diseases.
How you’ll contribute
The Computational Lab for In Silico Molecular Biology is building a computational model of the lung to enable in silico design and testing of lung disease therapies and manufactured organs. As part of this effort to develop an integrative multiscale lung model, the Computational Biologist, Cellularization will apply various mechanistic modeling techniques to simulate molecular and cellular processes.
- Develop mathematical models of cellular processes in the lung, including but not limited to cell division, migration, and adhesion, with modulation by the mechanical and chemical environment based on published models and extensions developed in-house to analyze experimental data from cellularization of 3D-printed scaffolds with endothelial, epithelial, and other cell types
- Establish iterative cycle of experimental design based on hypotheses generated by mathematical models to assist with development of new cellularization approaches
- Implement procedures for model qualification to evaluate impact of uncertainty and variability on model output and consequent impact on experimental design
- Collaborate with other computational biologists and engineers to integrate cell-based models into large multiscale models spanning processes from organ to molecular level
- Partner with internal and external labs to better understand the needs of experimental scientists and coordinate the generation of experimental data for model training/validation
- Communicate results effectively through interactive visualizations and presentations at internal and external meetings and publishing in peer-reviewed journals
- Perform other duties as assigned
For this role you will need
- Master’s Degree in biomedical engineering, computational biology, applied mathematics, or related field of study and 6+ years of industry experience developing computational models of biological systems with a master’s degree OR 2+ years of industry experience developing computational models of biological systems with a PhD. Postdoctoral experience at a pharmaceutical/biotech company is acceptable
- Expertise in one or more modeling frameworks for cell-level behavior (e.g. agent-based models, cellular Potts models, etc.)
- Expertise in numerical methods relevant to modeling and simulation, including solving systems of ordinary and/or partial differential equations, optimization, Monte Carlo methods
- Fluency in one or more scientific programming languages (e.g. Python, R, Julia)
- Experience with cell-based modeling and simulation software packages (e.g. Morpheus, CompuCell3D)
- Knowledge of molecular and cellular biology and drug development
- Ability to communicate effectively with both technical and non-technical audiences as demonstrated by record of presentations and publications
- Doctor of Philosophy (PhD) in biomedical engineering, computational biology, applied mathematics, or related field of study
- Familiarity with quantitative systems pharmacology and other applications of modeling and simulation within pharmaceutical drug discovery and development
- Skilled in statistical and machine learning methods
- Knowledge of pulmonary physiology
At United Therapeutics, you’ll realize quickly that it is not an ordinary place to work! When you join our company, you will learn, grow, contribute, have fun, and be challenged… all while making a difference in the lives of our patients.
While United Therapeutics does not require vaccination for Covid-19 at this time, we strongly encourage all employees and visitors to remain up to date on vaccinations and boosters to protect one another from illness. Employees working in customer-facing roles must adhere and comply with customers’ credentialing guidelines, which may require vaccination against Covid -19, the influenza virus, and other illnesses that could be harmful to healthcare staff and patients.
United Therapeutics Corporation is an Equal Opportunity/Affirmative Action Employer – EOE Minorities / Females / Protected Veterans / Individuals with Disabilities