Location:onsite Buck campus Novato CA
Compensation: $110000 $165000 DOE
Appointment: 18month position (potential to extend)
Citizenship Requirement: U.S. citizens only
Do you aspire to push the boundaries of computation to catalyze scientific breakthroughsImagine predicting microbial behavior with the same precision used to design circuits. At the Buck Institute were building a cuttingedge platform to simulate dynamic bacterial function by combining multidimensional microbial data mechanistic knowledge and AI. This project will revolutionize biomanufacturing and antimicrobial discovery transforming them into predictive designable processes. The implications range from optimizing industrial production to deepening our understanding of biological systems that shape human aging.
We are seeking a highly motivated
Research Scientist to join the
Yurkovich Lab. The successful candidate will contribute to a project focused on developing and applying a computational simulation platform to predict dynamic bacterial behavior integrating multidimensional microbial state data with mechanistic biological knowledge and AI. This position offers an excellent opportunity to contribute to efforts at the forefront of transforming our understanding of aging by accurately predicting phenotypic function.
If youre ready to drive scientific discovery at the intersection of cuttingedge computation and transformative experimentation to redefine our understanding of aging we encourage you to apply.
ResponsibilitiesComputational Leadership- Design develop and maintain software applications and tools for data analysis modeling and visualization.
- Collaborate with team members to implement advanced computational models and algorithms.
- Optimize software for performance and scalability in largescale data processing.
- Ensure data quality reproducibility and integrity through bestinclass data management.
- Author and maintain documentation for software applications and tools.
- Stay abreast of new developments in computational biology software engineering and AI
Experimental Contributions
- Conduct Minimum Inhibitory Concentration (MIC) assays to evaluate bacterial growth responses.
- Execute bacterial sample preparation protocols for multiomic data generation (e.g. transcriptomics proteomics metabolomics).
Required Qualifications- Ph.D. in Bioengineering Computer Science Computational Biology Biological Sciences or a related field.
- Demonstrated expertise in microbiology and molecular biology
- Industry experience in biomanufacturing or antimicrobial resistance (AMR).
- Proficient in Python for scientific computing and data analysis.
- Experience with computational modeling of biological systems including metabolic models (e.g. genomescale modeling).
- Strong analytical and data interpretation skills.
- Proven ability to work both independently and collaboratively in multidisciplinary teams.
- Excellent written verbal and presentation skills.
Preferred Qualifications
- Experience developing and implementing generative AI tools.
- Handson experience with MIC assays bacterial culture techniques and omic sample preparation.
- Familiarity with genome sequencing and assembly of bacterial species.
- Expertise in integrating multiomic datasets into computational frameworks.
- Demonstrated leadership in managing projects or mentoring junior researchers.
- Prior military or civil service experience is valued.
About the Buck Institute for Research on AgingOur success will ultimately change healthcare. At the Buck we aim to end the threat of agerelated diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. Globally recognized as the pioneer and leader in efforts to target agingthe number one risk factor for diseases including Alzheimers Parkinsons cancer macular degeneration heart disease and diabetesthe Buck seeks to help people live better longer. We are an equal opportunity employer.
To ApplyPlease apply online and submit your CV plus a PDF document that includes a summary of your research interests and the names email and phone numbers of 3 references.
Required Experience:
Manager