Do you love exploring large biological data sets to describe complex interactions and inform experimental research?
Are you passionate about breaking new ground in microbiome research?
Are you excited to work as part of a dynamic, creative, and interdisciplinary team?
If so, we're looking for you join our team in the Biological Sciences Group at the Johns Hopkins University Applied Physics Laboratory.
We are seeking a highly motivated Computational Biologist with demonstrated expertise in predictive analysis and modeling of microbiome populations to provide intellectual contributions and leadership to the Integrated Biosystems Section. You will work closely with an interdisciplinary team to tackle cutting edge challenges in microbiome science, leveraging diverse data modalities to explore the microbiome and host-microbiome-environment interactions. Your work will reveal new insights into microbiome dynamics and functions, leading to knowledge that will inform an integrated experimental approach for additional microbiome study and manipulation.
As a computational biologist…
•Your primary role will be to lead and support interdisciplinary teams that are modeling and analyzing microbial communities, engineering microbiome populations, and analyzing complex interactions between host and microbial populations – all for human health and national security applications;
•You will lead research efforts by building diverse and high-performing teams, providing technical mentorship of staff, managing project execution, and communicating key findings internally across teams and externally to sponsors;
•You will contribute to a culture of intellectual curiosity, innovation, collaboration, integrity, and technical excellence;
•You will participate in business development activities, including sponsor engagement, concept and proposal development, and communication both within APL and the external research community;
•You will contribute to vision and strategy development and execution.
You meet our minimum qualifications if you have:
•Bachelor's Degree Or Master's Degree in Computational Biology, Chemical Engineering, Biological Engineering, or relevant field
•Five years professional experience in Computational Biology, Chemical Engineering, Biological Engineering, or relevant field
•Demonstrated expertise in modeling and analyzing biological phenomena
•Expertise in statistical methods and data analysis
•Proficiency in analysis and integration of diverse data modalities (e.g., metagenomics, metabolomics, etc.)
•Theoretical understanding of microbiome metabolism, dynamics, and host/environmental interactions
•Strong communication and collaboration skills; ability to lead and contribute to teams from any position
•Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
•Ph.D. in Computational Biology, Chemical Engineering, Biological Engineering, or relevant field
•Experience with predictive analysis and modeling of host/microbiome interactions
•Competency in clinical data science
•Expertise in metabolic modeling
•Experience in shotgun metagenomic analysis
•Expertise in human or animal physiology
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