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Postdoctoral Fellow - Computational Biologist

Job Description


Posting Details
Posting Detail Information


Working Title Postdoctoral Fellow - Computational Biologist
Position Location Fort Collins, CO
Work Location Position is fully in-office/in-person
Research Professional Position Yes
Posting Number 202301878AP
Position Type Admin Professional/ Research Professional
Classification Title Postdoctoral Fellows
Number of Vacancies 1
Work Hours/Week 40
Proposed Annual Salary Range $55,000 to $65,000, commensurate with education, experiences, and qualifications.
Employee Benefits
Colorado State University is not just a workplace; it’s a thriving community that’s transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, commitment to diversity, equity and inclusion , and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact.
  • For detailed benefit plan information for eligible employees, visit https://hr.colostate.edu/hr-community-and-supervisors/benefits/benefits-eligibility/ and https://hr.colostate.edu/prospective-employees/our-perks/ .
  • For the total value of CSU benefits in addition to wages, visit https://hr.colostate.edu/total-compensation-calculator/ .
  • For more information about why Fort Collins is consistently ranked in the top cities to live in, visit https://hr.colostate.edu/prospective-employees/our-community/ .
Desired Start Date
Position End Date (if temporary)
To ensure full consideration, applications must be received by 11:59pm (MT) on 11/12/2023
Description of Work Unit
The Department of Chemical and Biological Engineering has an international reputation for excellence in research across a broad array of disciplines, including systems and synthetic biology, advanced materials, and bioanalytical devices including biosensors. The department’s research efforts are supported by several state-of-the-art core facilities on the campus of Colorado State University as well new instrumentation in the Scott Bioengineering Building.
The Munsky group is a highly collaborative team of computational and experiments scientists with a common goal to achieve predictive understanding needed to control gene expression. The successful applicant for this position will have rapid access to data from cutting-edge experiments, including automated super-resolution microscopy, microfluidics, and sub-cellular optogenetics capable to observe and perturb molecules within single living cells, and they will develop advanced computational modeling tools to simulate and predict biological behaviors in real time for to support these experimental investigations.
Position Summary
The individual in this position will report to the project Principal Investigator and conduct a range of computational analyses in the field of quantitative biology and in collaboration with modern, automated super-resolution microscopy experiments. Example projects include, but are not limited to:
  • Development of spatial stochastic models to reproduce the spatially resolved measurements of protein-gene association, single-gene transcription, and single-mRNA translation,
  • Development of rigorous and statistically-sound inference methods to identify mechanistic models from noisy experimental data, and
  • Development of machine learning and statistics based tools for the design of improved optical microscopy experiments.
  • Required Job Qualifications
    • PhD in engineering, physics, computer science, mathematics, statistics, or a related discipline.
    • Previous experience and record of peer-reviewed publication in development of stochastic models to explain fluctuations in chemical, biological, or physical processes.
    • Extensive and proven experience using linear algebra and differential equation solvers in Python, Julia, C++, MATLAB, R, Java, or Fortran.
    • Previous experience and record of peer-reviewed publication in machine learning, system identification, control or dynamical systems, or model/parameter inference.
    • Experience in model-reduction approaches to improve efficiency of the computational analysis of discrete stochastic processes or high dimension PDEs.
    • Strong oral and written communication skills.
    Preferred Job Qualifications
    • Experience teaching undergraduate students on the topic of stochastic processes or inference in quantitative biology.
    • Experience with image processing, especially experience analyzing single-cell fluorescence microscopy videos or single-molecule Fluorescence in situ Hybridization images.
    • Experience with bioinformatics, especially experience analyzing transcriptomics data for the interpretation of single-cell sequencing experiments.
    Diversity Statement
    Personal and professional commitment to diversity and inclusion as demonstrated by involvement in teaching, research, creative activity, service to the profession and/or diversity/inclusion activities.

    Essential Duties


    Job Duty Category Research
    Duty/Responsibility
    • Conceive and develop an innovative set of mathematical and computational tools to simulate and/or compute the distributions of multi-variate spatial stochastic processes and to validate these tools by matching discrete spatial stochastic models to single-cell and single-molecule data sets.
    • Use these models to interpret and predict fluctuations in space and time and their effects on cell population growth or survival.
    • Research and develop models to explore the dynamics of intercellular communication, including for host pathogen responses and inflammation responses.
    • Work closely with experiment-focused members of the Munsky team to design and conduct super-resolution microscopy experiments needed to constrain these models.
    Percentage Of Time 80
    Job Duty Category Documenting and Reporting
    Duty/Responsibility
    • Prepare manuscripts for submission to peer review journals; provide content for project reports; travel to scientific conferences to present research results and acquire new skills and capabilities.
    Percentage Of Time 10
    Job Duty Category Proposal Development
    Duty/Responsibility
    • Assist the PI with the development of proposals to secure future funding related to the project.
    Percentage Of Time 5
    Job Duty Category Teaching and Mentoring
    Duty/Responsibility
    • Assist with teaching and demonstration of computational methods as part of the annual Undergraduate Quantitative Biology Summer School.
    Percentage Of Time 5

    Application Details


    Special Instructions to Applicants
    CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed search contact.
    For full consideration, please upload your resume/CV, cover letter, one (1) or more first or co-first author publications or electronic pre-prints describing previous work, and the contact information for three (3) professional references by 11:59 PM (MST) on November 12, 2023.
    This posting will remain open until filled, however, for full consideration, applications must be received by 11:59 PM (MST) on November 12, 2023.
    References will not be contacted without prior notification to candidates.
    Conditions of Employment Pre-employment Criminal Background Check (required for new hires), Special Requirements/Other - Must be legally authorized to work in the United States by the proposed start date. The Department will not sponsor a visa for this position.
    Search Contact Claire Lavelle, claire.lavelle@colostate.edu
    EEO Statement
    Colorado State University is committed to providing an environment that is free from discrimination and harassment based on race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity/expression, or pregnancy in its employment, programs, services and activities, and admissions, and, in certain circumstances, marriage to a co-worker. The University will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Colorado State University is an equal opportunity and equal access institution and affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Colorado State laws, regulations, and executive orders regarding non-discrimination and affirmative action. The Office of Equal Opportunity is located in 101 Student Services.
    The Title IX Coordinator is the Director of the Office of Title IX Programs and Gender Equity, 123 Student Services Building, Fort Collins, CO 80523-0160, (970) 491-1715, titleix@colostate.edu .
    The Section 504 and ADA Coordinator is the Director of the Office of Equal Opportunity, 101 Student Services Building, Fort Collins, CO 80523-0160, (970) 491-5836, oeo@colostate.edu .
    The Coordinator for any other forms of misconduct prohibited by the University’s Policy on Discrimination and Harassment is the Vice President for Equity, Equal Opportunity and Title IX, 101 Student Services Building, Fort Collins, Co. 80523-0160, (970) 491-5836, oeo@colostate.edu .
    Any person may report sex discrimination under Title IX to the Office of Civil Rights, Department of Education .
    Background Check Policy Statement
    Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.

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