Bioinformatics Scientist (Statistical Genetics/Genetic Epidemiology)

New York Genome Center - New York, NY3.7

The New York Genome Center (NYGC) is an independent, nonprofit academic research institution at the forefront of transforming biomedical research with the mission of advancing clinical care. A collaboration of premier academic, medical and industry leaders across the globe, the New York Genome Center is committed to advancing genomic research and offering clinical genomic testing so that new treatments, therapies and therapeutics against human disease can be developed. NYGC member organizations and partners are united in this unprecedented collaboration of technology, science and medicine, designed to harness the power of innovation and discoveries to advance genomic services.

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. 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.

Position Description

The New York Genome Center is looking for a highly motivated, detail-oriented individual to join our informatics division in the computational biology group. As Bioinformatics Scientist (Statistical Genetics/Genetic Epidemiology), you will be responsible for the analysis of genomic data, including genotyping and exome and whole genome sequencing. Work will include genotype/phenotype association, ancestry inference, and development of QC/QA for familial and population sequencing projects. You will work as part of a team of analysts and scientists, and report to the Senior Director of Computational Biology.

Key Responsibilities

Analyze sequencing and genotyping data using established workflows;
Develop and implement appropriate QC/QA measures;
Implement, execute and document data analysis pipelines and workflows;
Benchmark new tools for genotyping/sequencing data analysis and propose improvements;
Develop and apply novel analytic and statistical approaches and methods;
Collaborate with internal and external researchers on analyses of genomic data;
Work with biologists and/or clinicians to design appropriate studies and establish analysis plans and goals;
Lead analysis projects;
Participate in grant application writing;
Present results to internal and external scientists through talks, peer-reviewed manuscripts and conference presentations; and,
May manage junior-level analysts.

Required Skills
PhD in genetics, statistics, biostatistics, genetic epidemiology, bioinformatics, computer science, physics, mathematics or similar with 2+ years relevant experience and demonstrable computational and statistical skills required;
In-depth understanding of the mathematical/statistical principles and methods that are relevant to computational genomics and disease modeling, including association, linkage, and burden tests;
Experience with methods and tools for imputation and phasing of variants;
Familiarity with methods and tools for ancestry and relatedness estimation;
Familiarity with commonly used public genomics datasets (e.g.; 1000 Genomes, TCGA, GTEx);
Background in disease-focused genomics (e.g. pediatric phenotypes, immunology, neurological or psychiatric disorders) preferred;
Programming skills in R, Python, Perl, BASH or similar;
Programming skills in C++ or Java a plus;
Experience working in a Linux environment, experience with SGE preferred;
Team oriented with excellent written and verbal communication skills.

Job Mastery- Knowledgeable of current role and technical skills, and the impact it has on the Center.
Continuous Learning– Strives to expand the depth and breadth of technical and professional skills.
Collaborative– Encourages participation from team members and works effectively with all levels.
Credible– Works with a high level of integrity.
Communicative– Actively listens to others and uses good judgement as to what to communicate to whom; provides feedback.
Focused – Utilizes efficient and effective processes.
Adaptable– Demonstrate flexibility with changing priorities.
Innovative– Develops new insights and pursues improvements.
Takes Ownership– Prioritizes tasks, manages time and delivers on commitments.
FLSA Status – Exempt

This position is eligible for visa sponsorship and relocation assistance.

Required Experience