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PhD degree in Computational Biology, Computer Science, Chemistry, Physics or related disciplines, with up to 2 years of industry research experience (Scientist) or 2+ years of industry research experience (Senior Scientist). The expected salary range for this position, based on the primary location

The Sanjana Lab at the New York Genome Center (NYGC) and New York University (NYU) is looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, bioengineers, human geneticists and computational biologists. The successful candidate will be mentored by Dr. Neville Sanjana on a project related to functional genomics and gene editing. Potential projects include Cas13-based profiling of noncoding RNAs in human neurons, in vivo CRISPR screens for immune and cancer phenotypes, protein design of new gene editors and cell therapies, and massively-parallel perturbations of enhancers and other functional noncoding genome elements. About the lab The Sanjana lab works at the intersection of genomics, synthetic biology and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, find vulnerabilities in cancer cells using patient-derived organoids and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. Potential projects will combine cutting-edge human genetics and genome technology development. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. Required Skills The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, biochemistry, computational biology and/or functional genomics and will have first-author publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics 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 the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of 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 This position is eligible for visa sponsorship and relocation assistance.

The Sanjana Lab at the New York Genome Center is looking for a motivated individual to work as a Research Assistant within a highly creative and dynamic research team of scientists, engineers, and life science entrepreneurs. Our team works on a diverse array of projects that span genomics, bioengineering, cancer biology and neuroscience. We focus on developing new genome engineering technologies to understand gene regulation, development, tumor biology and genetic drivers of disease. Recent work from the group has included in vivo and RNA-targeting CRISPR screens, pairing CRISPR perturbations with multiomic single-cell readouts, engineering T cell therapies and precise genome editors, and uncovering cis-regulatory elements in the human noncoding genome. We are looking for someone to join our team, work in a collaborative environment, and perform research related to genome editing, immunotherapy and functional genomics. We request that all applicants complete the skills questionnaire here before applying for the position: ___ Responsibilities include, but are not limited to: * Plan, execute and troubleshoot complex biological experiments both independently and in collaboration with colleagues; * Maintain transgenic mouse colonies (breeding, weaning, and genotyping) * Techniques required for development and engraftment of human tumors in animal models, treatment with cell therapies and in vivo genetic screens: IM, IV and IP injection, orthotopic cell transplantation, bone marrow transplantation, in vivo imaging. * Manage small independent projects that include molecular biology, cell culture, mouse work, expression analyses and computational biology. Not all of these skills are required but familiarity with some of them is helpful. * Consult with scientific literature and other scientists as needed to better understand scientific experiments and problems, and propose solutions to emerging problems. * Record and communicate findings accurately and professionally. Position Requirements: * BS in Biology or related field and demonstrated experience in experimental biology. * Previous experience with mouse handling. * Previous experience with mouse colony management. * Familiarity with IRB protocol submissions. * Ability to independently collect and analyze data. Exceptional attention to detail and meticulous execution and record of experiments is essential. * Motivation, scientific curiosity and commitment to work in a dynamic and highly productive working environment. Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the 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 to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $46,000-55,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. 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. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of 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 - Non- Exempt This position is not eligible for visa sponsorship or relocation assistance.

The New York Genome Center (NYGC) is seeking exceptional, highly motivated Genomic AI Fellows to join a high-impact initiative transforming the diagnosis, prevention, and treatment of human disease through predictive genomic AI. This program aims to bridge the gap between large-scale genomic data and transformative clinical impact. The fellowship will provide early-career scientists with the resources and environment to develop next-generation Foundation Models (FMs) for the human genome. While DNA sequencing is now a clinical staple, the noncoding "dark matter" of the genome remains largely undeciphered. AI will play a key role in unlocking the sequence-to-function code. As a Genomic AI Fellow, you will collaborate with data generators, computational experts, and geneticists. You will leverage NYGC's massive, proprietary datasets, including single-cell multiomics and large-scale genetic perturbation datasets, to build models that predict how genetic variation influences cellular behavior and, ultimately, human health. Genomic AI Fellows are encouraged to explore the frontier of genomic modeling, with access to high-resolution data and high-performance computing to address challenges such as: * Mapping the Regulatory Landscape: Moving beyond bulk-omics to predict cell-type-specific molecular phenotypes directly from DNA sequence. * Decoding Distal Regulation: Developing novel architectures that can accurately connect distant regulatory elements to transcriptomic output, capitalizing on genetic perturbations. * Predicting Clinical Trajectories: Utilizing whole-genome sequencing (WGS) from tens of thousands of cases-including Autism, Schizophrenia, Alzheimer's, and ALS-to predict disease risk and susceptibility via intermediate molecular effects. We are seeking "high-risk, high-reward" thinkers who thrive at the intersection of machine learning and biology. * Academic Background: A Ph.D. in Computer Science, Computational Biology, Genomics, or a related quantitative field * AI Sophistication: Deep expertise in modern deep learning, foundation models, and large-scale model training. * Biological Curiosity: A strong interest in (or experience with) gene regulation, epigenomics, or the genetic basis of complex disease. * Independence: A track record of leading original research and the ability to navigate complex, multi-modal datasets. This is a platform for researchers to lead high-impact projects within a collaborative ecosystem. You will be paired with world-class computational expertise and gain direct access to genomics data and "in-production" multiomics pipelines. Your work will sit at the vanguard of precision medicine, translating the multiomics revolution into actionable biological insights. This position is offered as a one-year renewable appointment, with renewal based on performance, funding availability, and program needs. The pay for this position is $118,000 per year; this includes a $100,000 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. 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 the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of 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 This position is eligible for visa sponsorship and relocation assistance

The Singh lab (___) 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. The candidate will use the depth and diversity of these multimodal datasets to characterize the effects of genetic risk factors for psychiatric and neurodevelopmental disorders. Specifically, they will co-analyze 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. We hope to use these insights to identify genes associated with increased risk of particular symptom clusters and pinpoint pathways and processes associated with disease biology. We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC), with primary affiliations at the Columbia University's (CU) Department of Psychiatry and the New York State Psychiatric Institute (NYSPI) and a secondary affiliation at Columbia University's Zuckerman Mind Brain Behavior Institute. This position offers a unique opportunity to participate in a multi-institute research environment in New York City, with international travel and collaboration opportunities. Your work will be central to building and strengthening the neuropsychiatric genetics program at the NYGC and CU Psychiatry. You are encouraged to learn from and engage with other researchers in lecture series, grand rounds, and academic events at these centers and institutes, which include work in statistical genetics, functional genomics, basic neuroscience, and clinical translation. In addition to leading research in our team, you can access resources for professional advancement and skill development at the NYGC and Columbia, which will help you build toward an academic or industry career. This position is eligible for visa sponsorship and relocation assistance. * 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. * 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, and strong written and verbal communication skills. * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant to the current role; strives to expand the 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 the diversity of perspective; communicates clearly and listens carefully; use good judgment as to what to communicate and when to do so. * 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 in work with passion and curiosity. 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 participate in 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. 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. 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. 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. Essential to our collaborative work is an outstanding faculty whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in mutual interest to the wider scientific community and us. 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. We want our employees to thrive both personally and professionally. The New York Genome Center 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. The New York Genome Center 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 This position is eligible for visa sponsorship and relocation assistance. Full-Time/Regular Please email ___ with the subject header "Research Position Inquiry: Postdoctoral Research Associate in Statistical Genetics."

The Sanjana Lab at the New York Genome Center and NYU's Department of Biology is looking for a motivated individual to work as a Research Assistant within a highly creative and dynamic research team of scientists, engineers, and life science entrepreneurs. Our team works on a diverse array of projects that span genomics, bioengineering, cancer biology and neuroscience. We focus on developing new genome engineering technologies to understand gene regulation, development, tumor biology and genetic drivers of disease. Recent work from the group has included in vivo and RNA-targeting CRISPR screens, pairing CRISPR perturbations with multiomic single-cell readouts, engineering T cell therapies and precise genome editors, and uncovering cis-regulatory elements in the human noncoding genome. We are seeking a motivated Research Assistant to contribute to ongoing projects in genome editing, functional genomics, and cell-based neurobiology, including perturbation-based single-cell approaches. We request that all applicants complete the skills questionnaire here before applying for the position: ___ The candidate will work closely with experienced postdoctoral fellows and senior scientists, receiving hands-on mentorship in experimental design, cellular neurobiology, advanced microscopy, and data analysis. This role offers substantial opportunities for technical and scientific growth within a top-tier, interdisciplinary research environment. Responsibilities include, but are not limited to: * Plan, execute and troubleshoot complex biological experiments both independently and in close collaboration with colleagues. * Design and carry out experiments involving molecular biology, mammalian and neuronal cell culture, immunoflourescence, advanced fluorescence microscopy (e.g., spinning-disk confocal) and computational biology, with opportunities to develop deep expertise in these areas. * Manage small independent research projects while contributing to larger team-based efforts. * Analyze and interpret experimental data, including quantitative image-based readouts. * Engage with primary scientific literature and consult with colleagues to refine experimental approaches, troubleshoot challenges, and propose solutions. * Maintain accurate, detailed experimental records and communicate results clearly through presentations, lab discussions, and written documentation. This position is ideal for a highly motivated early-career scientist seeking rigorous training in cell-based neurobiology, advanced imagining and perturbation-based functional genomics within a leading interdisciplinary research environment. Position Requirements: * BS in Biology, Neuroscience or a related field, with hands-on laboratory experience in experimental biology. * Demonstrated experience with immunofluorescence and fluorescence microscopy; prior exposure to advanced microscopy such as spinning-disk confocal is highly desirable but not required. * Evidence of independent thinking and initiative through prior research projects. * Ability to collect, analyze and interpret experimental data with exceptional attention to detail and rigor in experimental execution and record-keeping. * Strong motivation, scientific curiosity and eagerness to learn new techniques within a highly collaborative and productive environment. * In addition to submitting your resume and cover letter through this site, please also complete this web form: ___ Competencies * Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the 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 to do so. * Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. Salary The salary range for this position is $46,000-55,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. 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. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of 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 - Non- Exempt This position is not eligible for visa sponsorship or relocation assistance.

The Lappalainen & Sanjana Labs at the New York Genome Center (NYGC) are looking for a motivated individual to work as a Postdoctoral Research Associate within a highly creative and dynamic research team of scientists, computational biologists, bioengineers, and human geneticists. The successful candidate will be jointly mentored by Drs. Tuuli Lappalainen and Neville Sanjana at the intersection of statistical genetics and functional genomics analyses and tech development and have the opportunity to also be affiliated with New York University. About the labs The Sanjana lab works at the intersection of genomics and bioengineering. We are curious about many things and are passionate about what we do. We primarily develop new technologies for hacking and understanding biological systems. We try to learn from nature and to re-purpose what we learn to gain deeper insights into how genomes and neural systems function. In the lab, we modify genomes, perform high-throughput screens, differentiate human neurons from stem cells, watch synapses rewire, find vulnerabilities in cancer cells and have a lot of fun in the process. We aim to have a tangible impact on improving human health by creating new biological tools and fundamental biological discovery. The Lappalainen lab studies functional genetic variation in the human populations by analyzing how genetic variants affect molecular and cellular traits, and how these cellular changes contribute to genetic risk for both common and rare diseases and traits. We analyze these questions both by computational analysis of large genomic, transcriptomic and multi-omic data sets, and by experimental approaches. Our lab includes experts across the field of systems genetics, from statistical genetics and genomics to molecular genomics. About the position We are looking for a postdoctoral scientist eager to understand the impact of human genetic variation on gene expression and phenotypes at the cellular, tissue and physiological levels. This position will be at the intersection of computational and wet-lab work, with co-mentorship by both PIs and membership in both labs. The projects for the postdoctoral scientist combines cutting-edge human genetics and genome technology development, with possible projects in CRISPR and single-cell multi-omics, and its integration with GWAS and eQTL data, including novel data from projects such as Developmental GTEx. Recently, the Sanjana and Lappalainen labs developed STING-seq (Systematic Targeted Inhibition of Noncoding GWAS loci with sequencing): ___. We seek to extend STING-seq to new cell types (including primary cells) and develop next-generation genome editing approaches to answer fundamental questions in human genetics, GWAS and disease biology. In addition, we envision that the postdoctoral scientist will play a major role in developing new projects in a supportive team science environment. To be considered for this role, please provide: 1) CV with a list of publications; 2) a short summary of your present and future research interests; 3) a list of three references and their contact information with your application. The ideal candidate will hold a PhD or MD-PhD, have prior research experience in any of the following: molecular biology, statistical genetics, biochemistry, computational biology and/or functional genomics and will have prior peer-reviewed publications. The candidate will be expected to plan and carry out research tasks independently and write-up/present findings on a regular basis. This position can be tailored to a candidate with strong molecular biology skills who are looking to improve their computational skills, or to a candidate with a stronger background in computational genetics or genomics looking to develop expertise in cutting-edge experimental methods. About NYGC: A cutting-edge environment for genomics 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 the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Salary The pay for this position is $88,000; this includes $70,000 base pay and an $18,000 per year taxable housing allowance. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees & dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of 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 This position is eligible for visa sponsorship and relocation assistance.

The Singh lab (tjsinghlab.com) is looking for a motivated postbaccalaureate computational research associate to contribute to method development and analysis in statistical genetics. The candidate will apply statistical methods to analyze genetic and phenotypic data from clinical collections and population biobanks that include tens to hundreds of thousands of individuals. The candidate will use the depth and diversity of these multimodal datasets to characterize the effects of genetic risk factors for psychiatric and neurodevelopmental disorders. Specifically, they will analyze 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. We hope to use these insights to identify genes associated with increased risk of particular symptom clusters and pinpoint pathways and processes associated with disease biology. The position is intended for two years, with the opportunity for renewal and promotion. We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC), with primary affiliations at the Columbia University's (CU) Department of Psychiatry and the New York State Psychiatric Institute (NYSPI) and a secondary affiliation at Columbia University's Zuckerman Mind Brain Behavior Institute. The position offers a unique opportunity to participate in a multi-institute research environment in New York City, with collaboration opportunities. Your work will support the building and strengthening the neuropsychiatric genetics program at the NYGC and CU Psychiatry. You are encouraged to learn from and engage with other researchers in lecture series, grand rounds, and academic events at these centers and institutes, which include work in statistical genetics, functional genomics, basic neuroscience, and clinical translation. In addition to leading research in our team, you can access resources for professional advancement and skill development at the NYGC and Columbia, which will help you apply for graduate school or pursue an industry career. Key Responsibilities • Apply 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;, • Contribute to the preparation of manuscripts and subsequent submission to academic journals;, • Present regularly at internal meetings at NYGC and Columbia;, • Actively participate in lab activities;, • B.A. in Biological Sciences, Genetics, Statistics, Computer Science, or equivalent;, • Familiarity in at least one modern programming language, including Python, R/RStudio, Java, C/C++, or equivalent;, • Familiarity with Unix/Linux platforms, such as basic shell scripting;, • Familiarity or interest in applying software engineering best practices (e.g., GitHub for version control, Docker for reproducible environments, etc.);, • Interest in learning about and analyzing high-throughput sequencing data (especially human genetic and functional data);, • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant to the current role; strives to expand the 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 the diversity of perspective; communicates clearly and listens carefully; use good judgment as to what to communicate and when to do so. The Computational Research Associate will meet regularly with Dr. Singh at NYGC, Columbia University's Department of Psychiatry, and the New York State Psychiatric Institute. The candidate will also interact regularly with researchers at these institutions. The Associate will participate in group meetings at both NYGC and Columbia and will participate in meetings of NYC-wide working groups if required. The fellow can access resources for professional advancement and skill development at the NYGC and Columbia. Salary The pay range for this position is $58,000 to $63,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience. The NYGC offers 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. Essential to our collaborative work is an outstanding faculty whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in mutual interest to the wider scientific community and us. 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. We want our employees to thrive both personally and professionally. The New York Genome Center 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. The New York Genome Center takes affirmative action in support of its policy to hire and advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. FLSA Status - Non-Exempt This position is not eligible for visa sponsorship by the New York Genome Center orand relocation assistance. Candidates who do not require visa sponsorship (such as U.S. citizens, those who qualify for anStudents on an F-1 visa can qualify through an Optional Practical Training (OPT) program or Extension). Job Location New York, New York, United States Position Type Full-Time/Regular For specific inquiries Please email with the subject header "Research Position Inquiry: XXX."

The Satija lab at the New York Genome Center is looking for an enthusiastic and highly motivated senior computational biologist. We encourage applications from talented scientists who are interested in gaining experience in a multidisciplinary, international, and dynamic research environment. The successful candidate will supervise and work closely to PhD students, postdoctoral fellows, and computational biologists in the lab to develop new statistical methods and software for the analysis of single cell datasets. This is an exciting opportunity to learn about the latest developments in the growing space of single cell genomics while contributing to new research in cancer immunology and developmental neuroscience. Job duties will include: • Develop computational methods to analyze single-cell genomics datasets;, • Contribute to the codebase, development, and support of open-source software packages;, • Assist in data analysis and interpretation for diverse research projects;, • Help to manage lab servers and computational infrastructure; and,, • Document and present results in written or oral reports to other lab members., • PhD or MS degree in bioinformatics, computer science, biology, biochemistry or similar;, • Excellent programming skills, for example, in R, Python, and BASH;, • Experience working in a Linux environment;, • Team oriented with excellent written and verbal communication skills;, • Training in statistics or machine learning preferred;, • Exposure or training in NGS data analysis, functional genomics and/or human genetics preferred. Salary The salary range for this position is $100,000-120,000 per year. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. Competencies • Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the 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 to do so., • Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity. 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. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. Equal Opportunity We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization. The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of 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 This position is eligible for visa sponsorship and relocation assistance.

The College of Dental Medicine (CDM) at Columbia University is searching for a full-time tenure track open-rank research faculty in Data Science and one of the following fields: Bioengineering, Systems Biology, or Orally Related Diseases. Reporting to the Section Chair, the Data Science - CDM faculty are expected to develop, sustain, and lead an active, obvious, externally funded research program with outstanding scholarship and to demonstrate excellence in teaching and mentoring students at all levels including those in our DDS/PhD program. The candidate will collaborate closely with the Data Science Institute. A successful candidate will have demonstrated evidence of scholarly impact through publications and the potential to conduct pioneering research, obtain funding support, and collaborate, teach, and mentor effectively. In addition to technical and scientific knowledge, the candidate of choice will have excellent organizational and interpersonal skills, and thrive in a collaborative, fast-paced, and multi-disciplinary research setting. Our top-tier research institution provides extensive opportunities for collaborations across the university and medical center and collaborations with fellow researchers within CDM. Ph.D. in cancer biology, microbiology, immunology, systems biology, bioengineering, computational biology, computer science, applied math, or dental and medical degree with equivalent research experience. Academic rank and salary commensurate with qualifications and experience. Women and minorities are particularly encouraged to apply. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Systems Biology seeks an Associate Research Scientist to be appointed as an Irving Cancer Early Scholar of Cancer Research. VISION: The National Cancer Institute (NCI)-designated Herbert Irving Comprehensive Cancer Center (HICCC) of Columbia University Irving Medical Center invites applications for brilliant early career scientists to join a new program for Irving Cancer Early Scholars of Cancer Research. Initial appointments as Associate Research Scientists will be in the Department of Systems Biology for 3 years, after which Irving Cancer Early Scholars may seek tenure-track faculty positions at Columbia or other institutions. All assistant professor tenure track appointments require a national search and there will be no waiver from the Columbia University standard search process for individuals based on participation in this program. The HICCC hosts a vibrant community of highly-interactive investigators with interests in key areas of cancer research. We are now seeking new PhDs, MDs, or MD/PhDs to serve as Principal Investigators and fast-track to faculty rank without the need to undertake a traditional postdoctoral fellowship. These Scholars will pursue creative experimental or computational approaches to cancer research in the basic, translational, clinical, and/or population sciences. GOALS/OBJECTIVES: Irving Cancer Early Scholars will establish their independent program within a supporting laboratory and will be provided with all the resources necessary for success, including a dedicated mentorship committee of Columbia faculty, opportunities for pilot funding, collaboration with a wide range of Columbia scientists, and guidance in the preparation of grant applications as Principal Investigator. The recruitment package will include funds for salary and fringe benefits, research support and relocation costs. Housing support may also be available. As HICCC members, the Scholars will have access to superb HICCC Shared Resources and will join a vibrant community of clinicians and scientists across Columbia University and its affiliated institutions, including those working in cancer as well as in other areas. The Scholars will have demonstrated success (e.g. first/senior authored publications, awards, grants). Scholars will be expected to obtain grants from the NIH (e.g. DP4/DP5 through the Director's office), foundations (e.g. Pew, Keck, Rita Allen, Buroughs-Welcome, Searle, etc) or other entities. We seek to identify the best and brightest and "fast" track them to faculty. -For questions about research areas of interest and computational cancer research at Columbia and the HICCC, contact Dr. Raul Rabadan (___). -For questions about eligibility and the application process, contact Dr. Emer Smyth (___). -PhD, MD, or MD/PhD (or equivalent). -Qualified Ph.D., MD or MD/Ph.D. (or equivalent) investigators should have demonstrated scientific productivity, evidenced by high-impact publications, and research momentum in computational biology with a vision to make an impactful contribution to cancer biology and cancer medicine. -Interdisciplinary training (in quantitative sciences and/or medical sciences) is favored. -Applicants should have recently completed their PhD or be in very early stages of postdoctoral research training. Doctoral students who are "all but dissertation" (ABD) and new Ph.D. graduates who are continuing with their mentor's lab for a period of transition are also eligible. Individuals who are finishing or have recently completed clinical residency or fellowship training are also eligible to apply. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Biomedical Informatics (DBMI) of Columbia University seeks an exceptional faculty member of any rank in the tenure track. The position is open to researchers interested in developing and applying informatics theory and achieving tangible benefits to health care and biology. Three foci are (1) machine learning for healthcare and health-related data science, (2) AI and technology-based interventions to improve health care and the health of individuals and populations, and (3) translational bioinformatics. DBMI is an interdisciplinary department, comprising 45 faculty members and 50 students and postdoctoral fellows. The Department has amassed a large, diverse research portfolio, breaking new ground in several areas of informatics research. Its mission is to improve the health of the population and to make biomedical discoveries using information and computational techniques. It runs a diverse portfolio of clinical applications for NewYork-Presbyterian Hospital including a 7-million-patient, 20,000-user electronic health record and a number of vendor products. The Department is known for its work on informatics to support clinical care and clinical research, observational research, machine learning for healthcare, human-centered AI, and translational bioinformatics. More recently, DBMI hosts the AI Initiative for our medical school, which enables the advancement of AI and the use of AI across all of the school's missions of research, education, clinical care, and health of our patient community. The ideal candidate will have a strong record of accomplishments and publications in research areas spanning the boundary between medicine, health, and computational sciences. Applicants must have the potential to do pioneering research and to teach effectively. The candidate will benefit from interactions with various faculty from the Columbia University Irving Medical Center, the School of Engineering and Applied Science, the Data Science Institute, Columbia Business School, Columbia Climate School, and the School of Arts and Science. The Department, like the University itself, is an extraordinarily vibrant academic community. We are especially interested in candidates who through their research, teaching and/or service will contribute to the diversity and excellence of the academic community. For further information about the Department and our programs, please go to our webpage at: ___ The following are the salary ranges for each rank: Assistant Professor: $145,000 - $165,000 Associate Professor: $165,001 - $220,000 Professor: $220,001 - $290,000 Columbia University offers a highly competitive benefits package, including tuition exemption for faculty members who wish to pursue graduate programs and tuition assistance for family members as well as retirement plan options. The candidate must have a doctorate in Biomedical Informatics, Computer Science, Statistics, Physics, Computational Biology, or a related computational or health field and/or a medical degree. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Vagelos College of Physicians and Surgeons (VP&S) at Columbia University Irving Medical Center seeks to fill a position for the Chair of the Department of Systems of Biology. Applicants should be eligible for award of tenure at Columbia University and will be nominated for an endowed professorship. We welcome applications from outstanding scientists with an international reputation in the fields of or related to systems biology and other related areas. VP&S has a storied history of basic science, translational medicine, clinical care, education/training and outreach for more than 250 years. It is part of a stellar university and comprises 30 basic and clinical departments, and more than 20 cross-disciplinary centers and institutes. The Department of Systems of Biology is nationally and internationally renowned with distinguished scientists and a tradition of key discoveries. The Department is committed to the tenets of discovery science and applications to other disciplines, training and education of graduate students and postdoctoral fellows, and nurturing of junior faculty as the next generation of scientific leaders. The candidate will be expected to develop innovative research programs for the Department of Systems of Biology. The candidate will also be expected to conduct vibrant, externally funded research, as well as participate in graduate and medical student teaching. The candidate is expected to provide strategic vision and direction for advancing the understanding of complex biological systems through interdisciplinary approaches and leverage interactions with the nine basic science departments at VP&S, the NYP Hospital, the New York Genome Center, the Chan Zuckerberg Biohub New York, and other scientific institutes, to develop and run a robust systems biology program. Responsibilities: • Leadership: Provide visionary leadership for the Department of Systems Biology, guiding its strategic development and fostering a culture of excellence in research, teaching, and service., • Research: Lead a dynamic research program focused on elucidating the principles underlying complex biological systems, integrating computational modeling, experimental biology, and data science approaches., • Collaboration: Facilitate interdisciplinary collaborations both within the department and across other departments, centers and initiatives, fostering a culture of collaboration and innovation., • Teaching and Mentorship: Contribute to graduate education through the development and delivery of courses in Systems Biology, as well as mentorship of students at all levels., • Grant Acquisition: Secure external funding to support research activities, including grant writing and sponsorship of research proposals., • Professional Service: Engage actively in professional societies, scientific committees, and outreach activities to promote Systems Biology research and education., • Promote career advancement and international visibility of junior and mid-career faculty in and outside the department., • Actively participate in providing long-term strategic vision for Columbia University Irving Medical Center to advance basic and translational research in coordination with other departments, centers and programs., • Applicants should have a PhD, MD, MD/PhD or equivalent degree, substantial national and international stature, and expertise in managing large-scale research programs. The candidate is expected to provide leadership for the Department of Systems of Biology, and articulate a vision for its continued growth, supported with a firm commitment to the recruitment of multiple new faculty members and facilities to match the recruitments., • Distinguished record of scholarly achievements, including a significant publication record in leading scientific journals and a demonstrated ability to secure external research funding., • Demonstrated international leadership in the field of systems biology, through organization of conferences and serving on funding and award committees., • Leadership experience in academic or research settings, with a proven track record of fostering collaboration and promoting excellence., • Strong commitment to graduate and/or medical education, including a record of effective teaching and mentorship. Experience in mentorship of junior scientists and mid-career scientists will be considered as a plus. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Genomics Information Systems Laboratory of Prof. Dimitris Anastassiou (___) in the Department of Electrical Engineering has openings for one or more Staff Associate (SA) Officers of Research in Computational Biology and Bioinformatics.The lab is also affiliated with Columbia University's Department of Systems Biology. Candidates should have a degree in Computer Science or a related field, as well as experience and a publication record in Computational Systems Biology and Bioinformatics. The research in which they will assist will involve algorithm development and computational analysis of biomolecular information, using both traditional and newly developed methods, to discover and elucidate important biological mechanisms building and expanding on existing results. It will also involve collaboration with multidisciplinary teams and experimental research labs to validate computational results. One current research focus is on analyzing the increasingly available single-cell and spatial data from cancer biopsies investigating the cellular composition and evolution of cellular populations including cancer cells as well as fibroblasts and immune cells in the tumor microenvironment, shedding light on cancer invasiveness-associated mechanisms and identifying potential therapeutic targets. Specific responsibilities and duties are listed below for each title and grade (SAI, SAII, and SAIII): * Functional Knowledge - For SAI: Knowledge of the research subject and scientific methods of analysis; For SAII: Knowledge of the research subject specifically within own function on the team; For SAIII - Knowledge of the research subject and understanding of how functions interrelate and support the broader research; considered specialist within own function. * Problem Solving - For SAI: Utilizes analytical skills to solve moderately complex problems based on guidelines, protocols, and procedures. For SAII: Solves problems in moderately complex situations, analyzing possible solutions based on education and experience using judgment and precedent. For SAIII: Utilizes strong analytical skills to solve complex problems; exercises developed judgment based on the analysis of multiple sources of information. * Decision Making/Autonomy - For SAI: Works within guidelines to carry out assigned duties in the design of apparatus, the adaptation of relevant technology to the needs of a project, the conduct of specific experiments, and the analysis of data. For SAII: Carries out research projects with limited PI supervision both collaboratively and independently. For SAIII: Works under minimal supervision on complex assignments that require a high degree of initiative and independent judgment. * Technical Expertise - For SAI: Ability to operate and maintain equipment, computers, software programs and research tools in support of the project. For SAII: Operates and maintains equipment, computers, software programs and research tools in support of the project. For SAIII: Broad understanding of research techniques, software and instruments used in project. * Communication - For SAI: Shares information and confirmation of data. For SAII: Summarizes and explains information to others. May contribute to publications. For SAIII: Ability to translate information to general terms and help others understand impact of the information; assists PI in preparation of publications, including funding proposals, manuscripts and other research-oriented documentation. The minimum qualifications for each title and grade are as follows: • Staff Associate I: Bachelor's degree in computer science or related field and 4 years experience preferred., • Staff Associate II: Bachelor's degree in computer science or related field and 4 years recommended. The school is especially interested in qualified candidates who will contribute, through their research, teaching, and/or service, to the diversity and excellence of the academic community. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Department of Ecology, Evolution, and Environmental Biology (E3B) at Columbia University invites applications for a tenure-track position at the Assistant Professor level. The position is expected to begin July 1, 2026 and is contingent on final confirmation of funding. The past decade has seen exponential growth in the availability of ecological, evolutionary, and environmental data. Simultaneously, powerful computational and statistical tools have emerged to analyze these vast datasets. These developments are revolutionizing our ability to ask and answer fundamental questions in ecology and evolution. We seek a new faculty member whose research harnesses these datasets and methods to address core questions in ecology and/or evolution. This individual will contribute to teaching and mentoring across undergraduate and graduate levels, train students in computational methods, and conduct research that can deepen our understanding of different areas, including the evolutionary and ecological processes that shape the living world in the past, present, and future, design and evaluate___nature-based solutions to prevent environmental degradation, and inform and manage impacts on human health and wellbeing. Applicants can use any combination of modern computational approaches - across data science, probability theory, machine learning, or other relevant fields- to study fundamental questions in ecology and/or evolutionary biology or apply these approaches to societally relevant challenges. Preference will be given to those who explore links between ecology and evolutionary biology. The successful candidate is expected to establish a vigorous, externally funded research program that complements and augments existing strengths within E3B, and to participate in undergraduate and graduate teaching. E3B is an intellectually diverse and stimulating department consisting of a vibrant and close-knit community. It has strong links to other departments and disciplines at the University, including neuroscience (Zuckerman Mind Brain Behavior Institute), earth and environmental science (Department of Earth and Environmental Science, Lamont-Doherty Earth Observatory, and the Climate School), and disease epidemiology (Mailman School of Public Health). E3B also has close ties with New York partner institutions, including the New York Genome Center, the American Museum of Natural History, the New York Botanical Garden, and the Wildlife Conservation Society. These connections provide ample opportunities for interaction and collaboration. Review of applications will begin October 1, 2025, and will continue until the position is filled. Please submit applications online in Interfolio. Include a cover letter, curriculum vitae, a statement of research interests that describes not only significant accomplishments but also a vision for the future of the field and your role in it, a teaching and mentoring statement, three PDFs of publications or preprints, and contact information for three reference letter writers. Minimum Degree Required: Ph.D. Minimum Qualifications: Strong research and publication record. Preferred Qualifications: Training and experience in computational ecology and/or evolutionary biology. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Support Staff - Union, • Bargaining Unit: SSA, • Regular/Temporary: Regular, • Hours Per Week: 35 We are seeking a highly motivated candidate for a full-time Senior Research Technician position at Columbia University Irving Medical Center in the Ben Izar Laboratory. Our research focuses on the interactions between immunity and cancer evolution, metastasis, and drug resistance. The lab employs cutting-edge technologies, including single-cell genomics, integrated CRISPR screens with single-cell readouts, and highly multiplexed imaging. We work with patient-derived cancer tissue, cell line models, and mouse models of cancer biology and immunotherapy, while continuing to develop novel technologies. Our ultimate goal is to improve the lives of cancer patients through innovation. The successful candidate will work closely with Dr. Izar to maintain an efficient laboratory environment, conduct experiments, collaborate with other lab members, and engage with research teams across the Columbia Center for Translational Immunology (CCTI) and the broader Columbia University Medical Center community. Candidates are not expected to have prior experience in all listed techniques; however, competitive applicants will demonstrate eagerness to learn, flexibility, strong organizational skills, and excellent communication and record-keeping abilities. Responsibilities • Set up, calibrate, maintain, and troubleshoot laboratory equipment., • Process tissue samples from preclinical animal models and patients, including cryopreservation, cell fractionation (FACS/MACS), and extraction of nucleic acids and proteins., • Prepare and maintain basic dry and wet chemicals and other common laboratory reagents., • Perform conventional PCR and quantitative RT-PCR., • Conduct immunoblotting and related assays., • Maintain cell lines and primary cells in tissue culture., • Execute in vitro therapeutic studies, including proliferation and metabolic luminescence assays., • Perform fluorescence- and magnetic-activated cell sorting (FACS and MACS)., • Generate high-throughput single-cell sequencing libraries from DNA and RNA specimens., • Manage mouse colonies., • Conduct high-content imaging and multiplexed immunofluorescence imaging using specialized equipment., • Maintain detailed records of laboratory work and communicate results via shared electronic platforms., • Share responsibility for operation and maintenance of common laboratory equipment., • Order reagents and supplies based on lab needs and member requests., • Assign routine lab tasks and equipment maintenance responsibilities to team members., • Monitor compliance with Environmental Health and Safety standards and lab-specific SOPs., • Participate in regular meetings with Dr. Izar and the grants management office to review lab operations., • Bachelor's degree and at least one and one-half years of related experience or equivalent in education, training and experience., • The candidate selected for this position is required to undergo a drug screening test prior to a final offer of employment being made, • Participation in the medical surveillance program, • Work with laboratory animals, • Potential bloodborne pathogen exposure Columbia University is committed to the hiring of qualified local residents.

We are launching a campus-wide initiative to build foundation models that simulate the evolution of tumor ecosystems. You will be the lead engineer contributing to large-scale generative modelling on single-cell, spatial-omics, and clinical data. Core responsibilities * Design, train and deploy multi-modal foundation models for single-cell and spatial cancer data * Build scalable training pipelines in PyTorch/JAX on GPU clusters and cloud HPC/ADK * Implement data-efficient fine-tuning, adaptive learning workflows and agentic frameworks for reasoning Collaborate with machine learning experts and computational biologists to build tools for AI agents e.g. libraries, MCPs and APIs The position is a full-time appointment jointly housed in Columbia's Irving Institute for Cancer Dynamics and The Fu Foundation School of Engineering & Applied Science. You will collaborate daily with a diverse team of AI/ML researchers, computational biologists, clinicians and bioengineers who share a mission of transforming our understanding of cancer progression and improving its treatment through next-generation AI and experimental platforms. Required qualifications * B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field * 6+ years of experience in software engineering * 3+ yrs hands-on experience training generative AI or large-language models at scale * Substantial expertise in training deep learning models and tuning large foundation models. * Expertise with developing efficient data loaders for large datasets and optimizing training workflows. * Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching/transformer architectures * Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks * Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras * M.S. or graduate-level degree in relevant field * Experience with single-cell and spatial genomic or imaging data, and multimodal integration * Expertise in statistical causal discovery and inference * Publications or open-source contributions in generative models * Strong interest in applications and driving impact in cancer biology and immunology Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Support Staff - Union, • Bargaining Unit: SSA, • Regular/Temporary: Regular, • Hours Per Week: 35 The Han Lab, led by Dr. Arnold Han, is seeking a Laboratory Technician to provide technical and operational support for studies focused on T cells in autoimmunity and cancer. This position involves hands-on work in molecular cloning, cell-based immunology assays, and recombinant protein expression systems. The Laboratory Technician will contribute to routine experimental workflows, support the maintenance of cell cultures and laboratory reagents, and assist in the overall organization and daily operations of the laboratory. This role offers the opportunity to develop technical expertise in immunology and molecular biology while working collaboratively with trainees and researchers in an academic research environment. Responsibilities • Perform routine molecular biology techniques, including molecular cloning, plasmid preparation, and PCR-based assays, following established protocols., • Conduct immunology assays, including in vitro immune cell assays and functional analyses., • Perform mammalian cell culture, including subculturing, cryopreservation, and viability assessment., • Carry out transient transfections and viral or non-viral transduction of mammalian cells., • Assist with recombinant protein expression and basic purification workflows., • Support ordering of reagents, inventory management, and organization of laboratory supplies., • Maintain laboratory equipment and ensure proper use of shared instruments., • Follow all laboratory safety, biosafety, and compliance procedures., • Bachelor's degree in chemistry, biology or physics or related science or equivalent in education, training and experience., • Strong attention to detail and ability to follow established protocols., • Excellent organizational, timemanagement, and communication skills., • Previous experience working in a basic science laboratory., • Experience in computational biology., • Familiarity with common laboratory software tools (e.g., Excel, GraphPad Prism, FlowJo)., • The candidate selected for this position is required to undergo a drug screening test prior to a final offer of employment being made., • Medical clearance and participation in the medical surveillance program., • Position involves work with laboratory animals, • Potential bloodborne pathogen exposure Columbia University is committed to the hiring of qualified local residents.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Machine Learning Scientist with a focus on deep learning models for biomolecular systems and drug discovery. Projects span development and training of new neural network architectures, design of active learning experiments in conjunction with experimental collaborators, derivation of scaling laws for biomolecular systems, and other topics. All projects involve interactions with team members in the AlQuraishi lab as well as academic and industry partners in three major consortia: OpenFold, AISB (AI Structural Biology Network), and OpenBind. Responsibilities High-level (dependent on specific scientific project): • Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles., • Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models., • Devise experiments to understand scaling behavior of biomolecular models., • Develop new ideas, write code, run experiments, analyze data, and prepare reports., • Be an active member of one or more highly collaborative teams., • Stay current with the ultrafast-paced nature of biomolecular machine learning., • Ph.D. in computer science / machine learning, computational biology, or related quantitative fields., • Extensive machine learning experience, including design, training, and deployment of complex neural architectures., • Extensive programming experience in Python. Columbia University is committed to the hiring of qualified local residents.

The Irving Institute for Cancer Dynamics invites applications for a postdoctoral researcher position to join the theoretical immunology group led by Dr. Rane. The postdoctoral fellow will work directly with Dr. Rane on investigating the dynamics of the immune system in both health and disease. Funds are available for conference travel and professional development. The initial appointment will be for one year and is full-time and benefitted, with potential for renewal for a second year, pending annual review of performance and continued availability of funding. Duties & Responsibilities: • Successful candidates will develop and refine computational, mathematical, and statistical models to understand and explain biological phenomena., • Create algorithms to integrate large and diverse datasets into theoretical frameworks for modeling complex biological systems., • Collaborate closely with leading experts in the fields of experimental immunology and computational biology., • Contribute to the generation of impactful research findings in applied math, statistics, and immunology, with potential applications to areas such as cancer research, cell biology, and ecology., • Present research at meetings and write manuscripts and grants., • Ph.D. in applied mathematics, data science, statistics, computational biology, or a related field., • Proficiency in one or more programming languages, including but not limited to Python, R, C++, Stan, etc., • Excellent written and oral communication skills., • A demonstrated interest in immunology, cancer research, cell biology, or ecology is advantageous, though not mandatory. Minimum Requirements: • Ph.D. in a relevant field., • Programming proficiency., • Ph.D. in applied mathematics, bioinformatics, or computer science, plus prior experience applying these skills to biology or related fields., • Publications that demonstrate expertise in areas related to this project., • Immunology knowledge or the willingness to learn it quickly. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Ideal Qualifications** - Degree: Bachelor’s, Master’s or PhD in a STEM field (Physics, Chemistry, Mathematics, Biochemistry, or related Computational Sciences). Mercor is hiring experienced Mathematics, Biology, Chemistry, and Physics professionals** to support a variety of high-impact resea

Position Summary The Califano lab, in the Department of Systems Biology at Columbia University, is seeking exceptionally qualified candidates for a Postdoctoral Research Scientist position in the laboratory. Successful candidates will possess extensive expertise in wet-lab experimentation and advanced single-cell and spatial multi-omics technologies and will participate in highly competitive research programs aimed at producing innovative, high-impact publications. The ideal candidate will have outstanding scientific credentials, including first-author publications in leading journals and presentations at major international conferences relevant to single-cell biology, spatial genomics, systems immunology, cancer biology, stem cell biology, or related fields. We are particularly interested in candidates with demonstrated expertise in the development and application of spatially resolved and single-cell technologies, including spatial transcriptomics, spatial ATAC-seq, multiplexed spatial proteomics, CITE-seq, Perturb-seq, CROP-seq, CRISPR-based perturbation systems, and advanced single-cell library preparation and profiling methods. Candidates with strong backgrounds in immunology, cancer biology, stem cell biology, molecular and cellular biology, epigenetics, genetics, biomedical engineering, biochemistry, or related disciplines will be especially well suited. Experience integrating multimodal datasets-including transcriptomic, epigenomic and proteomic modalities-to define regulatory programs and cellular states within intact tissue architecture is highly desirable. Integration of quantitative analysis, high-throughput experimentation, and technology development is a hallmark of our department and laboratory. Accordingly, the Postdoctoral Research Scientist will: • Develop and apply cutting-edge spatial and single-cell multi-omics technologies to interrogate regulatory and signaling networks in complex tissue ecosystems., • Define cell-state transitions and regulatory circuits in physiologic and pathophysiologic contexts with current focus on cancer., • Design and implement CRISPR-based perturbation strategies (CRISPR, CRISPRi/a) to functionally test regulatory hypotheses derived from systems-level inference., • Integrate genomic, epigenomic, and proteomic datasets to elucidate molecular determinants of cellular phenotypes and their spatial organization., • Develop new methodological and computationally informed frameworks for dissecting regulatory logic and signaling network architecture within tissues. The successful candidate will be expected to thrive in a highly collegial and collaborative environment, mentor junior trainees, contribute to consortium-scale and multi-institutional projects, and participate in the preparation of fellowship and grant applications. Strong communication and scientific writing skills are essential. Our laboratory has an outstanding record of training and career placement, with former members advancing to academic faculty positions (including leadership roles) and senior positions in biotechnology and pharmaceutical industries. Minimum Qualifications • PhD in molecular biology, immunology, cancer biology, genetics, epigenetics, stem cell biology, biomedical engineering, biochemistry, or a related field., • Demonstrated record of first-author publications in peer-reviewed journals., • Expertise in spatial transcriptomics, spatial ATAC-seq, multiplexed proteomic imaging, and multimodal data integration., • Experience with CRISPR-mediated gene editing, perturbation screening (including single-cell CRISPR-based approaches), and gene regulatory analysis., • Familiarity with regulatory and signaling network modeling and systems biology frameworks., • Experience working with complex in vivo models and/or primary human tissues. Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The AlQuraishi Lab in the Departments of Systems Biology and Computer Science at Columbia University is seeking a Scientific Program Manager with experience in technical management of machine learning projects. The Scientific Program Manager will work in a complex, multi-team effort to steer and coordinate development of next-generation machine learning models for biomolecular structure prediction. Working with the Principal Investigator (PI), the candidate will be responsible for the operation and administration of multiple projects spanning three consortia: (i) OpenFold for developing frontier models for biomolecular systems, (ii) AISB (AI Structural Biology Network) for training federated models on proprietary pharmaceutical repositories, and (iii) OpenBind for large-scale data acquisition of crystallographic datasets for training next-generation biomolecular models. This includes ensuring that scientific progress and/or deliverables occur in a timely fashion, that progress is communicated among collaborating teams within and outside of Columbia, and that frequent engagement is made with external partners in biopharma and the tech industry. The candidate will initiate and lead meetings among the scientific staff and will work closely with the PI and research team members to ensure that research studies are completed on time and within computational budget. This is a position for a highly organized person with good management skills and includes cross-disciplinary project coordination, scientific communication, and liaising with multiple internal and external partners informally and through formal reports. Responsibilities Duties • 45%: In conjunction with PI, help manage and administer multiple team projects. Oversee general operation of key projects and ensure that ongoing administrative and operational processes support the goals and objectives of the research agenda. Plan and lead routine project team meetings., • 30%: Decompose large projects into tasks and subtasks, and assign and track responsibilities across team members, ensuring timely execution of project requirements in accordance with deadlines., • Strong familiarity with key components of the research program, including machine learning, computational biology, and molecular sciences., • Experience with scientific writing and sufficient familiarity with scientific aspects of research to draft text independently., • Ability to troubleshoot tissue processing protocols including the isolation of viable cells of multiple lineages from disparate human tissue sites., • Ability to troubleshoot the analysis of single-cell RNA-seq and high-dimensional flow cytometry data with computational biology collaborators., • Support PI by maintaining oversight of all personnel working for the program (>15 personnel)., • Support PI by maintaining oversight of all personnel working for the program (>15 personnel)., • With PI, set the strategy and establish standards for hiring, performance appraisal, and competency assessment. Establish job expectations and methods for measurement of standards for all personnel., • Apply (and develop, to the extent necessary) tooling required for project management and tracking, including that of human-developed artifacts as well as computational artifacts and experiments., • Informally and formally communicate results to, and receive and distill feedback from, external partners in participating consortia., • Independently interact with external partners (such as pharmaceutical and tech company representatives) and key project personnel on behalf of Principal Investigator., • M.S. degree in a relevant field is strongly preferred., • Working experience with machine learning runs and job management is strongly preferred. Columbia University is committed to the hiring of qualified local residents.

The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for a limited-term Assistant Professor faculty position in the area of applied and computational mathematics. The position begins July 1, 2026 for a term of 3 years. Salary is competitive and the teaching load is relatively light. Basic responsibilities focus on teaching, research and service. A recent PhD earned in the last 3 years and no later than the start date of the appointment, and extraordinary promise in research, are both required. A broad array of research groups is active in the department, with current research encompassing applied and computational mathematics, and their application to many areas of physics, materials science, biology, earth science, as well as imaging and data science. There is a strong cohort of activities on applied and computational mathematics within the Fu Foundation School of Engineering and Applied Sciences and the affiliated Data Science Institute. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

The Center for Computational Biology (CCB) is currently seeking a full-time Administrative Coordinator to join the current team in collaboratively managing the growing financial, clerical and administrative operations of the center.

Job Description The Role Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible. Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator. As a Senior Computational Biologist, you'll work alongside members of our research team and our founders to develop AI systems capable of complex biological reasoning across multiple scales. * You will develop machine learning methods to extend our predictive and generative platform * You will design and execute computational pipelines to validate and prioritized de novo generated molecules using state of the art tools * You will use your deep understanding of biology to design novel therapeutics for hard-to-target proteins with our generative models * You will analyze and integrate large-scale biological datasets * Your work will directly impact the development of our biologically-aware AI platform, transforming the landscape of medicine Make a real tangible impact on millions of lives by pushing the boundaries of AI in biology. Who We're Looking For * You have a PhD in a biological field and strong programming skills in Python * You have experience with computational biology tools such as structure prediction, molecular docking and virtual screening * You have experience working with Protein or Chemical Language Models * You like to work collaboratively in a fast-paced startup environment * You are passionate about using data science to unlock the secrets of biology * You exhibit a proactive approach to problem-solving, thinking beyond the specific task, taking ownership of challenges, and pride in solving them * You have a mature mindset in ambiguous situations, helping to frame questions and seek clarity while making decisions in the face of uncertainty * You have excellent communication skills and can clearly articulate complex technical concepts Bonus Points * You have hands-on experience building AI/ML using PyTorch and Lightning * You have experience with cloud computing platforms like AWS * You have hands-on biology laboratory experience * You have contributed to peer-reviewed publications in computational biology * You have knowledge of machine learning techniques applied to biological data Our Values ❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions. 🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards. 🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community. 📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner. 🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling. What We Offer * We encourage new and different ideas, creativity and contrarian thinking * Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you * You own your day-to-day management. What we care about is that we all hit our milestones * Competitive salary and equity in a growing, well-funded startup * Excellent medical, dental, and vision coverage Compensation Range: $150K - $250K

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. About the AI & Advanced Computing Institute (“AI Institute”) The AI Institute at Schmidt Sciences is a grantmaking and research group that views AI as a transformative force for scientific discovery and societal progress. Over the next decade, we aim to support key researchers who are working to make AI systems competent, trustworthy, reliable, and able to effectively partner with human scientists on the next generation of discovery. We will also make selected distinctive investments in beneficial AI areas where philanthropy has a unique advantage. By supporting enabling infrastructure, foundational research, and targeted programs in science disciplines, the AI and Advanced Computing Institute will create the conditions for AI-enabled discovery to achieve its promise. The AI Institute currently has three focus areas: AI for Science – using AI to improve how scientists generate hypotheses, conduct experiments, analyze data, and produce new knowledge – and do this in a way that specifically accelerates the discovery process. Exploratory programs include post-transistor hardware for AI and AI for scientific simulation. Science of AI – understanding and controlling AI systems to mitigate and manage potential risks from advanced AI. Improve AI reliability and performance in areas of limited commercial interest. Existing programs include AI2050 and Science of Trustworthy AI. Exploratory programs include AI interpretability and evolution of multi-agent communication. Beneficial AI – providing scientific foundations and datasets for understanding the larger human impacts of AI. This includes selected high-impact grantmaking, such as our programs to use AI to accelerate humanities research (Humanities and AI Virtual Institute), and to quantify the impact of AI on the labor market (AI@Work). The Role Reporting to the Director of the AI Institute at Schmidt Sciences, the Senior Program Scientist will provide technical leadership and people management across the AI Institute, as well as contribute to the overall strategy of Schmidt Sciences. This is not a traditional research or industry role; rather, impact in this role is achieved by enabling high-quality academic and industry progress through funding, development of scientific instruments and other supports, convening, ecosystem building, and thought leadership. Success for this role is the ability to position the AI Institute as the premier funder of AI scientific research globally, with a reputation for selecting the hardest technical challenges and using philanthropy to significantly advance solutions to them. In short, the ambition here is to influence the next decade of scientific discovery. Key Responsibilities for this role include the following:Strategic Leadership • Support the Institute lead in the design, evolution, and execution of the AI Institute’s current and future strategic, scientific, and technical direction., • Co-design multi-year research agendas., • Identify areas of AI where early philanthropy entry can provide significant advancement., • Contribute to the overall scientific priorities in the AI and advanced computing portfolio and set future directions for engagementTechnical Evaluation and Program Development, • Provide technical advice to the existing programs and major awards of the AI Institute., • As needed, work with team members to develop new programs. Note: current program explorations include AI interpretability, evolution of communication of multi-agent systems, post-transistor AI hardware, and AI-enabled simulation of scientific processes., • Support existing AI Institute programs by providing networking assistance, scientific expertise, and mentorship, as necessary, and by working closely and collaboratively with the teams responsible for delivery. Contribute to the team’s assessment of expressions of interest and research proposals. Team Management, • Manage 3-5 program scientists and visiting scientists to help them continue to grow their scientific discernment and grantmaking skills., • Contribute to the improvement of the AI team’s operations, including our grantmaking, budgeting, events & convening, and other processes.External Engagement and Ecosystem Building, • Act as a conduit for bringing in innovative ideas and perspectives from the AI community, actively engaging with stakeholders to identify emerging trends and opportunities for collaboration.Schmidt Sciences Support, • Serve as an expert advisor at Schmidt Sciences on topics in AI and advanced computing, with a focus on AI and humanities., • Work with other members of the Schmidt Sciences team to drive organizational priorities and model our values., • Identify potential partners for Schmidt Sciences, including universities, labs, other research facilities, and philanthropic and government organizations., • Participate in relevant industry or academic conferences and events, representing Schmidt Sciences’ presence on AI and advanced computing issues.Required Knowledge, Skills, and Abilities, • Advanced degree (e.g., PhD), from an accredited institution, with a focus on artificial intelligence, • 10+ years of academic and industry experience in artificial intelligence, • Deep understanding of modern machine learning, including deep learning, probabilistic modeling, generative models, reinforcement learning, and large-scale representation learning, • Experience leading teams and managing technical staff, • Hands-on experience designing, training, and evaluating state-of-the-art models (e.g., foundation models, multimodal systems, agentic AI, simulation-based models), • Demonstrated track record of scientific accomplishments, evidenced by peer-reviewed publications, patents, successful grant applications, or contributions to innovative industry projects, • Ability to critically evaluate scientific, technical, and other AI-related claims in grant proposals and other technical opportunities and emerging methods, • Deep relationships in the AI community and experience working with AI-focused institutions, • Experience producing technical writing for expert and general audiences, • Demonstrated ability to collaborate and a record of impact in high-intensity, team-based environments, • Sense of urgency in driving work to completion, • The highest integrity and ability to maintain confidentiality, • Be able to travel within the U.S. and internationally on a regular basis as neededPreferred Knowledge, Skills, and Abilities, • Hands-on AI Experience: Experience building prototypes, benchmarks, or proof-of-concept systems to test scientific hypotheses or assess research investments. Strong fluency in ML engineering tools and best practices (Python, PyTorch/JAX/TF, data pipelines, MLOps, evaluation frameworks). Experience evaluating the scalability, data requirements, compute needs, and infrastructure implications of ambitious AI projects., • Expertise in Specific Focus Areas for the AI Institute, Including: AI model evaluation and red-teaming for scientific reliability, Mechanistic interpretability or auditing methods, Multi-agent systems and emergent behavior, AI-accelerated simulation frameworks, • AI x Science: Familiarity with how AI is used across scientific disciplines (biology, chemistry, physics, climate science, neuroscience, etc.). Expertise in at least one scientific domain where AI is meaningfully accelerating research (e.g., protein structure prediction, generative chemistry, computational biology, materials discovery, climate modeling). Ability to work and translate technical concepts across multiple scientific disciplines

Job Description JOB DESCRIPTION: A research assistant position is available for a highly motivated candidate to join the Epigenetics and System Neuroscience laboratory headed by Dr. Carla Nasca at Nathan Kline Psychiatric Institute and NYU School of Medicine in New York. The collaborative, intellectually stimulating work environment at NKI and NYUSoM is an invaluable resource to conduct bold, innovative and creative science. JOB DUTIES: Specific responsibilities include, but are not limited to: • Assist with and perform bold, cutting-edge basic and translational research, • Be eager to present research findings at lab meetings and conferences, • Be keen to learn, be highly motivated, work well with others, immerse himself/herself in ongoing research and be creative and proactive for new research directions. JOB QUALIFICATIONS: Minimum Qualifications: • Lab experience required, such as molecular and biochemical techniques, e.g., qPCR, Western blot, ELISA and immunofluorescence, • Excellent organizational and communication skills, ability to work in an interdisciplinary & collaborative team, • Motivation & passion for Neuroscience is a must. Preferred Qualifications: • B.S. or B.A. degrees, e.g.: in Cell Biology, Neuroscience, Pharmacology, Biomedical Sciences, Psychology, or related fields, • Knowledge of exosome biology is a plus., • Animal experience preferred., • Be keen to learn about next generation sequencing approaches, bioinformatic and computational tools (e.g., machine learning) Background Investigation/Justice Center Review Requirements: Prospective appointees will be: 1) Checked against the Staff Exclusion List (SEL) maintained by the Justice Center for the Protection of People with Special Needs. Prospective employees whose names appear on the SEL as having been found responsible for serious or repeated acts of abuse or neglect will be barred from appointment. 2) Screened against the Statewide Central Register of Child Abuse and Maltreatment (SCR). Prospective employees whose names are indicated on the SCR may be barred from appointment. *The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Applications will only be accepted through website at: - Click on Employment Opportunities. Applications will be accepted only during the posting dates as listed at the top of the job announcement. Questions regarding this position please email: Job Posted by ApplicantPro

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