New York Genome Center
Computational Scientist in Single Cell Genomics
New York Genome Center, New York, New York, us, 10261
The Technology Innovation Lab at the New York Genome Center seeks a dynamic, self-motivated, team-oriented
Computational Scientist
to expand dry lab efforts in understanding disease mechanisms. We are interested in developing integrative multi-modal data analysis tools incorporating single cell omics data, imaging data, clinical phenotypes, variants and genotypes.
As
Computational Scientist , you will be a critical senior member of a collaborative team that develops cutting edge computational methodologies and technologies in order to understand the mechanisms of neuroimmunology, cancer immunology and aging, in an efficient and comprehensive manner, which will accelerate the advancement of clinical therapeutic hypotheses. The primary purpose of this role is to identify and develop completely novel computational approaches with focus on single cell genomics. The candidate should be an independent thinker that can develop new protocols and novel schemes to solve complex problems.
Responsibilities may include:
Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, scRNA-seq, CRISPR and genotypic data using current state of the art technologies;Develop a resource for the community that gives access to collected data;Independently design, develop and execute a research project, with input from senior members of the team;Maintain significant knowledge of the current, relevant scientific literature, and communicate key developments to other lab members to ensure competitiveness of the group;Work closely with experimental colleagues and cores to understand the nature of generated data;Coordinate efforts across multiple organizations (Flatiron Institute, Columbia University and New York Genome Center);Actively participate in the preparation of manuscripts for publication and present at scientific conferences;Assist in peer- and student-mentorship;Share expertise and provide training and guidance to group members as needed.
Requirements & Qualifications
Relevant PhD degree required in computational biology, computational neuroscience, applied mathematics, computer science, or related discipline, with a strong bioengineering and/or molecular biology focus.Extensive knowledge, experience and publication record of modern molecular biology and/or chemistry tools, including next-generation single cell sequencing methods;In-depth conceptual or technical understanding of modern high-throughput molecular technologies in the life sciences (such as RNA-seq, WGS, scRNA, spatial transcriptomics, imaging, pooled/sc CRISPRi);Proficiency in large scale data analysis and algorithm development for instance using machine learning, Markov chain, Bayesian, dynamic programming, graph analysis.Proficiency in one or more programming/scripting languages such as Python, C/C++, R, Stan.Proficiency in analysis tools such as STAR, BWA, cellRanger, spaceRanger, ilastik or similar;Proficiency in designing and developing analytical bioinformatic approaches that can extract biologically meaningful data from complex datasets.Strong oral and written communication, data documentation, and presentation skills;Experience writing scientific articles for publication;Ability to handle multiple projects at the same time;Excellent collaborative and interpersonal skills, and willingness to work in a fast-paced team 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 expected salary for this position is $100,000-105,000 per year, and the full pay range for this position is $95,000-115,500 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 Technology Innovation Lab
The Technology Innovation Lab at the New York Genome Center (NYGC) is led by Dr. Sanja Vickovic, who holds a joint faculty appointment in Columbia University's Department of Biomedical Engineering. The Technology Innovation lab is a dedicated incubator for the development and early-stage evaluation of new genomics tools and methodologies. It serves as a creative hub for generating new technologies, protocol development, equipment evaluation and informatics tool development/integration.
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.
Please note: We care greatly about our employees' wellbeing, so NYGC has moved to a fully COVID-19 vaccinated work environment. You must be vaccinated against COVID-19 to work at NYGC, even if you are working partially remotely.
Equal Opportunity
Diversity, equity, and inclusion are central to the core mission at the NYGC. We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion.
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Computational Scientist
to expand dry lab efforts in understanding disease mechanisms. We are interested in developing integrative multi-modal data analysis tools incorporating single cell omics data, imaging data, clinical phenotypes, variants and genotypes.
As
Computational Scientist , you will be a critical senior member of a collaborative team that develops cutting edge computational methodologies and technologies in order to understand the mechanisms of neuroimmunology, cancer immunology and aging, in an efficient and comprehensive manner, which will accelerate the advancement of clinical therapeutic hypotheses. The primary purpose of this role is to identify and develop completely novel computational approaches with focus on single cell genomics. The candidate should be an independent thinker that can develop new protocols and novel schemes to solve complex problems.
Responsibilities may include:
Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, scRNA-seq, CRISPR and genotypic data using current state of the art technologies;Develop a resource for the community that gives access to collected data;Independently design, develop and execute a research project, with input from senior members of the team;Maintain significant knowledge of the current, relevant scientific literature, and communicate key developments to other lab members to ensure competitiveness of the group;Work closely with experimental colleagues and cores to understand the nature of generated data;Coordinate efforts across multiple organizations (Flatiron Institute, Columbia University and New York Genome Center);Actively participate in the preparation of manuscripts for publication and present at scientific conferences;Assist in peer- and student-mentorship;Share expertise and provide training and guidance to group members as needed.
Requirements & Qualifications
Relevant PhD degree required in computational biology, computational neuroscience, applied mathematics, computer science, or related discipline, with a strong bioengineering and/or molecular biology focus.Extensive knowledge, experience and publication record of modern molecular biology and/or chemistry tools, including next-generation single cell sequencing methods;In-depth conceptual or technical understanding of modern high-throughput molecular technologies in the life sciences (such as RNA-seq, WGS, scRNA, spatial transcriptomics, imaging, pooled/sc CRISPRi);Proficiency in large scale data analysis and algorithm development for instance using machine learning, Markov chain, Bayesian, dynamic programming, graph analysis.Proficiency in one or more programming/scripting languages such as Python, C/C++, R, Stan.Proficiency in analysis tools such as STAR, BWA, cellRanger, spaceRanger, ilastik or similar;Proficiency in designing and developing analytical bioinformatic approaches that can extract biologically meaningful data from complex datasets.Strong oral and written communication, data documentation, and presentation skills;Experience writing scientific articles for publication;Ability to handle multiple projects at the same time;Excellent collaborative and interpersonal skills, and willingness to work in a fast-paced team 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 expected salary for this position is $100,000-105,000 per year, and the full pay range for this position is $95,000-115,500 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 Technology Innovation Lab
The Technology Innovation Lab at the New York Genome Center (NYGC) is led by Dr. Sanja Vickovic, who holds a joint faculty appointment in Columbia University's Department of Biomedical Engineering. The Technology Innovation lab is a dedicated incubator for the development and early-stage evaluation of new genomics tools and methodologies. It serves as a creative hub for generating new technologies, protocol development, equipment evaluation and informatics tool development/integration.
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.
Please note: We care greatly about our employees' wellbeing, so NYGC has moved to a fully COVID-19 vaccinated work environment. You must be vaccinated against COVID-19 to work at NYGC, even if you are working partially remotely.
Equal Opportunity
Diversity, equity, and inclusion are central to the core mission at the NYGC. We strive to create a workplace environment that is welcoming and fair to all regardless of race, ethnicity, gender, sexual orientation, physical ability, or religion.
#J-18808-Ljbffr