Postdoctoral Research Associate in Statistical Genetics Singh Lab
Postdoctoral Research Associate in Statistical Genetics Singh Lab
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Job Description
We are an interdisciplinary and collaborative team at the New York Genome Center (NYGC) with primary affiliations at the Columbia Universitys (CU) Department of Psychiatry and the New York State Psychiatric Institute (NYSPI) and a secondary affiliation at Columbia Universitys Zuckerman Mind Brain Behavior Institute. This position offers a unique opportunity to participate in a multiinstitute 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.
Key Responsibilities
Develop and apply new statistical computational and machine learning methods for analyzing largescale genetic and phenotypic data using scalable technologies;
Implement document and scale these methods using robust programming tools and practices for internal use and for sharing with the community;
Lead planned research projects from start to finish;
Work closely with computational and clinical colleagues at NYGC and Columbia to interpret and contextualize results from analysis;
Lead the preparation of manuscripts and subsequent submission to academic journals;
Present regularly at internal meetings at NYGC and Columbia and at domestic and international scientific conferences;
Actively participate in lab activities and assist in the mentoring and coordination of junior members of the team;
Share expertise and provide training and guidance to group members as needed.
Qualifications
Ph.D. in Biological Sciences Genetics Statistics Biostatistics Computational Biology Bioinformatics Computer Science Epidemiology or equivalent;
Proficiency in at least one modern programming language including Python Java C/C or equivalent;
Proficiency in R/RStudio and relevant statistical packages for data visualization and analysis;
Proficiency in Unix/Linux platforms such as basic shell scripting in an onpremises or Cloud computing setting (e.g. Google Cloud);
Familiarity with analyzing highthroughput 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 RNAseq ATACseq 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.
Competencies
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 solutionoriented; engages in work with passion and curiosity.
Mentoring Plan
The Postdoctoral Research Associate will meet with Dr. Singh and regularly interact with researchers at NYGC Columbia Universitys 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 NYCwide working groups if required. The postdoc can access resources for professional advancement and skill development at the NYGC and Columbia which will help build toward an academic or industry career.
Salary
The pay for this position is $88000 per year; this includes a $70000 base pay and a $1500 per month taxable postdoctoral housing allowance $18000 per year) a full range of medical financial and other benefits and generous time off.
Work Flexibility
NYGC has established a flexible work policy to allow employees and other staff to balance work personal commitments and commuting challenges. The incumbent in this position is eligible for a flexible work schedule or hybrid remote work arrangement (working onsite at least two days per week) with supervisory approval.
About the New York Genome Center
The New York Genome Center (NYGC) is an independent nonprofit academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing RNA sequencing stateoftheart analytics and the development of genomic tools. NYGC concentrates specifically on diseasebased research in the following areas: neuropsychiatric disease (autism schizophrenia bipolar); neurodegenerative disease (ALS Alzheimers Parkinsons Huntingtons) 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
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.
For specific inquiries
Please email with the subject header Research Position Inquiry: Postdoctoral Research Associate in Statistical Genetics.
Required Experience:
IC
Employment Type
Full-Time
