Washington University in St. Louis
Staff Scientist (Computational – Connectome) - Genetics
Washington University in St. Louis, Saint Louis, Missouri, United States, 63146
Overview
Staff Scientist (Computational – Connectome) - Genetics at Washington University in St. Louis. The Cremins lab studies chromatin-to-synapse communication in neural circuits, aiming to understand how chromatin architecture affects genome function and long-term synaptic plasticity in healthy and diseased brains. The role involves developing computational tools to analyze multi-modal imaging data and contribute to manuscript preparation, with a focus on mapping the neural connectome at synapse resolution using data such as in situ sequencing signals. Primary Duties & Responsibilities
Design research protocols under guidance from the principal investigator, including data collection, verification, and management. Assist with grant preparation and reporting (write methods, results, and figures for papers). Perform complex statistical analyses of data and write interpretative reports. Collaborate with lab members to write methods sections and figures for research papers where the analysis is used. Organize, manage, and curate data to make it available to the scientific community on public portals. Ensure code quality by writing in PEP8; provide code publicly via Bitbucket. Organize lab data on the lab cluster, maintain records for sequencing runs and sample names; perform weekly data organization per lab standards. Back up code on Bitbucket and oversee code revision to integrate with other algorithms. Train on and oversee data formatting and cleaning to meet NIH/NSF and publication requirements for public availability. Conduct literature searches related to the project, identify code and statistical tools, and develop new Python code (PEP8) for image analysis pipelines and neural connectome mapping. Develop algorithms for base calling of in situ imaging data, cell segmentation, spot registration, drift correction, and assembly of barcode count files; interpret barcodes as neurons in specific x, y, z coordinates. Prepare multiple manuscripts, including figures and methods/results. Perform other duties as assigned. Education, Certifications, and Work Experience
Education: Master’s degree or combination of education and experience may substitute for minimum education. Certifications: No specific certification required. Work Experience: Laboratory Operations (3 years). Skills: Not Applicable. Driver's License: Not required. Preferred Qualifications
Ph.D. preferred. Experience in algorithms, data analysis, Python programming, and analytical problem solving. Excellent verbal and written communication; ability to work in a high-energy, collaborative lab environment with emphasis on respect and openness. Working Conditions
Laboratory environment with potential exposure to biological and chemical hazards; ability to wear protective equipment and care for research animals as needed. Salary and Benefits
Grade: R10; Salary range: $48,000.00 - $86,900.00 annually; actual rate determined by qualifications, performance, equity, and budget. Benefits include vacation, holidays, sick time; health insurance; transit benefits; retirement plan; wellness resources; family and caregiver leave; tuition assistance for you and your family. Equal Employment Opportunity (EEO) Statement
Washington University in St. Louis is committed to equal employment opportunity and encourages applications from underrepresented groups. The University provides equal opportunity regardless of race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. The University fosters an inclusive environment and welcomes diverse backgrounds, experiences, and perspectives. Other
If you are unable to use the online application system, please email CandidateQuestions@wustl.edu or call the accommodation inquiry number for assistance. All offers are contingent upon successful completion of required pre-employment screenings.
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Staff Scientist (Computational – Connectome) - Genetics at Washington University in St. Louis. The Cremins lab studies chromatin-to-synapse communication in neural circuits, aiming to understand how chromatin architecture affects genome function and long-term synaptic plasticity in healthy and diseased brains. The role involves developing computational tools to analyze multi-modal imaging data and contribute to manuscript preparation, with a focus on mapping the neural connectome at synapse resolution using data such as in situ sequencing signals. Primary Duties & Responsibilities
Design research protocols under guidance from the principal investigator, including data collection, verification, and management. Assist with grant preparation and reporting (write methods, results, and figures for papers). Perform complex statistical analyses of data and write interpretative reports. Collaborate with lab members to write methods sections and figures for research papers where the analysis is used. Organize, manage, and curate data to make it available to the scientific community on public portals. Ensure code quality by writing in PEP8; provide code publicly via Bitbucket. Organize lab data on the lab cluster, maintain records for sequencing runs and sample names; perform weekly data organization per lab standards. Back up code on Bitbucket and oversee code revision to integrate with other algorithms. Train on and oversee data formatting and cleaning to meet NIH/NSF and publication requirements for public availability. Conduct literature searches related to the project, identify code and statistical tools, and develop new Python code (PEP8) for image analysis pipelines and neural connectome mapping. Develop algorithms for base calling of in situ imaging data, cell segmentation, spot registration, drift correction, and assembly of barcode count files; interpret barcodes as neurons in specific x, y, z coordinates. Prepare multiple manuscripts, including figures and methods/results. Perform other duties as assigned. Education, Certifications, and Work Experience
Education: Master’s degree or combination of education and experience may substitute for minimum education. Certifications: No specific certification required. Work Experience: Laboratory Operations (3 years). Skills: Not Applicable. Driver's License: Not required. Preferred Qualifications
Ph.D. preferred. Experience in algorithms, data analysis, Python programming, and analytical problem solving. Excellent verbal and written communication; ability to work in a high-energy, collaborative lab environment with emphasis on respect and openness. Working Conditions
Laboratory environment with potential exposure to biological and chemical hazards; ability to wear protective equipment and care for research animals as needed. Salary and Benefits
Grade: R10; Salary range: $48,000.00 - $86,900.00 annually; actual rate determined by qualifications, performance, equity, and budget. Benefits include vacation, holidays, sick time; health insurance; transit benefits; retirement plan; wellness resources; family and caregiver leave; tuition assistance for you and your family. Equal Employment Opportunity (EEO) Statement
Washington University in St. Louis is committed to equal employment opportunity and encourages applications from underrepresented groups. The University provides equal opportunity regardless of race, ethnicity, color, national origin, age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. The University fosters an inclusive environment and welcomes diverse backgrounds, experiences, and perspectives. Other
If you are unable to use the online application system, please email CandidateQuestions@wustl.edu or call the accommodation inquiry number for assistance. All offers are contingent upon successful completion of required pre-employment screenings.
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