Staff Scientist

Staff Scientist remote type Hybrid locations Hyde Park Campus time type Full time posted on Posted 21 Days Ago job requisition id JR33262 Department PME H Chen Lab About the Department The Pritzker School of Molecular Engineering (PME; pme.uchicago.edu/) was established in May 2019 and evolved from the Institute for Molecular Engineering, which was founded in 2011. The PME integrates science and engineering to address global challenges from the molecular level up. The PME's rigorous academic and research programs are made possible through the University of Chicago's unique partnership with Argonne National Laboratory. The Pritzker School of Molecular Engineering is the first new school at the University of Chicago in three decades and the first school in the nation dedicated to molecular engineering. In the next phase of growth as a School, the PME will continue to expand its team of world-class faculty researchers and empower students from diverse backgrounds to collaborate with faculty in cutting-edge facilities. The PME aims to bring solutions for urgent societal problems to the forefront, while training the next generation of scientific leaders and entrepreneurs. Job Summary The Chen Lab at the Pritzker School for Molecular Engineering is looking for a highly motivated Staff Scientist to work closely with faculty and researchers at the University of Chicago. The successful candidate will play a key role in characterizing tissue engineering and stem cell biology by working with the Chen Lab and in collaboration with researchers and clinicians at the University of Chicago and beyond. Emphasis will be to (i) understand how cancers initiate and progress using various stages of human cells derived from pluripotent or adult stem cells, and design strategies to diagnose, categorize, and treat the diseases more effectively; (ii) maintain, upgrade, and train users on existing pipelines in the lab; and (iii) develop new pipelines as needed. Responsibilities Facilitates and promotes advanced technical/scientific research projects, including simulations and data analysis. Recognizes the need for innovation and develops or incorporates advances in research concepts to help disseminate results. Develops, applies, documents, and maintainsputational tools, both for use and to support analysis by biologist colleagues without formalputational training. Critically evaluatesputational solutions. Develops customizedputational solutions supporting new kinds of assays and experiments. Understands the analytical needs of new experiments, working closely with wet-lab experimental biologists. Implements and optimizes successful algorithms and methods to be d for use by the broadermunity. Develops figures and reports that provide transparency into the data quality and characteristics, and automates the production of such reports as routineponents ofputational analysis pipelines. s data to supervisor and team, attends team meetings to results, plans projects and experiments, and ensures that projects support current team goals. Maintains andanizesputational infrastructure and resources. Contributes to the generation of protocols, publications, and intellectual property. Reviews laboratory protocols and training on new techniques. Manageplex data sets for research. Trains new laboratory personnel. Performs other related work as needed. Minimum Qualifications

Education:

Minimum requirements include a PhD in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Certifications:

--- Preferred Qualifications

Education:

Doctoral degree in biology, immunology, chemistry, or related field.

Experience:

Significant work experience after the doctorate; postdoc experience. Possess experience in a research laboratory, preferably in an independent project. Conducting wet or dry lab work in a research laboratory, preferably in an independent project. Practical experience in data analysis, preferably in an independent project in an academic research laboratory setting. Background in statistics and machine learning.

Technical Skills or Knowledge:

Basic knowledge of biology or immunology is preferred. An inclination to acquire such knowledge is required. Knowledge of SLURM or other job scheduler, and/or bioinformatics tools preferred. Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java) required. Strongputer skills, including calendaring, document management (e.g., Dropbox, Box, etc.), word processing, database management, and spreadsheet skills. Knowledge of statistical/analytical software. Advanced knowledge ofputer programming and coding languages. Preferred Competencies Excellentmunication skills to interact professionally with all levels of staff and external contacts in a fast-paced environment. Excellentanization and time management skills. Problem-solving,anization and coordination skills. Excellent oral and writtenmunication skills. Excellent time management skills and handle multiple, concurrent tasks within deadlines with minimal supervision. Prioritize urgent tasks while ensuring established deadlines are met. Flexible and adaptable to changes in workflow and procedures. Application Documents Resume/CV (required) When ing, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary ​ FLSA Status Exempt ​ Pay Range $70,000.00 - $80,000.00 The included pay rate or range represents the University's good faith estimate of the possiblepensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, d ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable amodation toplete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety () provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response andmunications plans, and other policies and information. The can be accessed online at: securityreport.uchicago.edu. Paper copies of the are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.