Associate Research Scientist- Per Diem

Position Summary We have an exciting opportunity to join our team as a Associate Research Scientist- Per Diem. In this role, the successful candidate TANGL seeks a per diem Research Associate to support computational research on brain aging, Alzheimers disease, resilience, and multimodal biomarker discovery. This project-based, part-time role emphasizes rigorous computational biology, reproducible workflows, and integrative modeling across molecular, clinical, cognitive, and physiological data. The Research Associate will work closely with the PI and collaborators to develop focused analyses supporting manuscripts, grants, and lab infrastructure. Please submit a CV/resume and a brief statement of relevant qualifications and interest. Optional but encouraged: representative code repository, technical writing sample, publication/preprint, poster, or short description of a prior computational project. Job Responsibilities Performs other related duties as assigned. Initiates, interprets, organizes, executes, and coordinates research assignments critical to department's mission. Formulates and conducts research on problems of considerable scope and complexity. Explores subject area and defines scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope. Makes decisions and recommendations that have a major impact on extensive scientific research activities. Develops new ideas that promote current research. Exercises a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance. May manage the operations of a lab for the Principal Investigator by supervising Post Docs and technicians. Oversees the maintenance and upkeep of all instruments and laboratory facilities. Ensures timely and accurate completion of research projects. May provide students with technical guidance and direction in the operation of various sample preparation techniques, extraction lines, and equipment as well as general laboratory practices and safety protocols. May seek grant funding from external sources in support of their independent research projects with consent of the PI and the Department Chair. May participate in writing grant proposals. May be responsible research/lab quality control and compliance. May develop protocol for the collection and quality of research data. Develops research techniques and methodologies. May determine and establish laboratory policies, procedures and practices. Maintains a thorough knowledge of the advances in specialized fields through attendance of scientific conferences. May make significant contributions to scientific papers. Is a resource/ author/ co-author for reports and presentations. May provide recommendations for equipment purchases and for the redesign of lab space. May coordinate the activity and experimental design between various labs, scientific staff, and collaborators. Identifies and resolves technical problems. May serve on internal committees to help further goals of research projects and bring new expertise to the research program. Additional Position Specific Responsibilities Analyze approved biological, clinical, cognitive, biomarker, and physiological datasets relevant to aging and neurodegeneration, including genomic, epigenomic, transcriptomic, proteomic, and neuropscyhological data. Develop and document reproducible workflows in Python and/or R. Perform statistical and computational analyses such as differential expression/epigenomic analysis, pathway enrichment, network/co-expression analysis, knowledge graphs, longitudinal modeling, machine learning, and data visualization. Contribute to multimodal data-integration projects. Summarize literature, participate in laboratory meetings or presentations, and contribute to figures, methods, manuscripts, abstracts, presentations. Potential Projects Multimodal aging cohort analyses: integrate cognitive, biomarker, proteomic, genomic/epigenomic, clinical, and physiological data to model trajectories of brain aging. TANGL computational infrastructure: build repository structures, data dictionaries, pipeline templates, and visualization workflows to support future lab projects and trainee onboarding. Knowledge graph and systems-biology modeling: use biological knowledge graphs, network methods, or interpretable machine-learning approaches to test hypotheses linking molecular signatures to clinical phenotypes. Minimum Qualifications B.S./B.A. in computational biology, bioinformatics, genetics, neuroscience, biomedical engineering, data science, statistics, computer science, physiology, or related field; equivalent experience may be considered. Proficiency with Python and/or R and comfort working in a command-line environment. Experience analyzing biological, clinical, physiological, or other high-dimensional datasets. Ability to work independently on deliverables while communicating clearly with the PI and collaborators; strong organization, reproducibility, and careful stewardship of biomedical data. Preferred Qualifications M.S., Ph.D., Ph.D. candidacy, or substantial equivalent experience in computational biology, bioinformatics, systems biology, genomics, biomedical data science, or related field. Experience with multiomic data, reproducible workflows, Git/GitHub, cloud/HPC environments, network biology, co-expression analysis, biological knowledge graphs, graph ML, causal inference, longitudinal modeling, interpretable machine learning, or physiological/wearable signal processing. Familiarity with neurodegeneration, Alzheimer's disease, aging, or human cohort studies; ability to contribute to manuscripts, grants, and presentations. Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $32.14 - $42.31 Hourly. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here. #J-18808-Ljbffr NYU Grossman School of Medicine