Postdoctoral Research Associate in Statistical Genetics (Singh Lab)

Overview The Singh lab (tjsinghlab.com) is looking for a motivated and creative postdoctoral research associate to lead method development and analysis in statistical human genetics, with a focus on brain disorders. The candidate will develop and apply methods to analyze genetic and phenotypic data from clinical collections and population biobanks that include tens to hundreds of thousands of individuals. Using the depth and diversity of these multimodal datasets, the candidate will characterize the effects of genetic risk factors for psychiatric and neurodevelopmental disorders. Specifically, the role involves co‑analyzing common, rare, and structural variants from whole‑genome sequence data and detailed phenotypic (questionnaire, clinical, and imaging) data using novel and scalable methods in statistical genetics and machine learning to understand the pathogenesis of brain disorders. The goal is to identify genes associated with increased risk of particular symptom clusters and pinpoint pathways and processes associated with disease biology. Key Responsibilities Develop and apply new statistical, computational, and machine learning methods for analyzing large‑scale genetic and phenotypic data using scalable technologies. Implement, document, and scale these methods using robust programming tools and practices for internal use and for sharing with the community. Lead planned research projects from start to finish. Work closely with computational and clinical colleagues at NYGC and Columbia to interpret and contextualize results from analysis. Lead the preparation of manuscripts and subsequent submission to academic journals. Present regularly at internal meetings at NYGC and Columbia and at domestic and international scientific conferences. Actively participate in lab activities and assist in the mentoring and coordination of junior members of the team. Share expertise and provide training and guidance to group members as needed. Qualifications Ph.D. in Biological Sciences, Genetics, Statistics, Biostatistics, Computational Biology, Bioinformatics, Computer Science, Epidemiology, or equivalent. Proficiency in at least one modern programming language, including Python, Java, C/C++, or equivalent. Proficiency in R/RStudio and relevant statistical packages for data visualization and analysis. Proficiency in Unix/Linux platforms, such as basic shell scripting in an on‑premises or Cloud computing setting (e.g., Google Cloud). Familiarity with analyzing high‑throughput genetic data is preferred (e.g., processing FASTA, BAM/CRAM, VCF, BED/BIM/FAM files using PLINK, bcftools, Hail). Proficiency in building robust pipelines for the analysis of genomics or other -omics data (including WGS, RNA‑seq, ATAC‑seq, etc.). Proficiency in applying software engineering best practices (e.g., GitHub for version control, Docker for reproducible environments, etc.). Ability to work closely with other scientists to productionize and scale new data analysis methods and workflows. Interest and experience in supervising and mentoring junior team members. The ability to work independently and collaboratively, with strong written and verbal communication skills. Competencies Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant to the current role; strives to expand depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations, and delivers on commitments. Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when. Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters the exchange of new ideas and willing to challenge the status quo; takes the initiative and is solution‑oriented; engages with passion and curiosity. Mentoring Plan The Postdoctoral Research Associate will meet with Dr. Singh and regularly interact with researchers at NYGC, Columbia University's Department of Psychiatry, and the New York State Psychiatric Institute. They will participate in group meetings at both NYGC and Columbia and will join meetings of NYC‑wide working groups if required. The postdoc can access resources for professional advancement and skill development at the NYGC and Columbia, which will help build toward an academic or industry career. Salary The pay for this position is $88,000 per year; this includes a $70,000 base pay and a $1,500 per month taxable postdoctoral housing allowance ($18,000 per year), a full range of medical, financial, and other benefits, and generous time off. Work Flexibility NYGC has established a flexible work policy to allow employees and other staff to balance work, personal commitments, and commuting challenges. The incumbent in this position is eligible for a flexible work schedule or hybrid remote work arrangement (working onsite at least two days per week) with supervisory approval. About the New York Genome Center The New York Genome Center (NYGC) is an independent, nonprofit academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state‑of‑the‑art analytics, and the development of genomic tools. NYGC concentrates specifically on disease‑based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar), neurodegenerative disease (ALS, Alzheimer's, Parkinson's, Huntington's), and cancer. Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with twelve leading academic medical centers and research universities in the New York region and beyond, engaging in research projects with and for these institutions. It relies on an outstanding faculty whose members typically hold a joint appointment at NYGC and a partner university, supporting our scientific mission by conducting independent research in mutual interest to the wider scientific community. Equal Opportunity NYGC is committed to creating a workplace where our employees reflect the rich diversity of the New York community—in race, gender, age, culture, and beliefs—and we work to support this diversity through our employment practices. NYGC is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans, and individuals with disabilities. FLSA Status Exempt Position Type Full‑Time / Regular For Specific Inquiries Please email View email address on click.appcast.io with the subject header "Research Position Inquiry: Postdoctoral Research Associate in Statistical Genetics." #J-18808-Ljbffr New York Genome Center